Dell PowerEdge R940xa Review — Gen 14 4-Socket GPU AI Server
Extreme GPU Acceleration for AI, Machine Learning, GPU Databases, and Compute-Intensive Workloads
Artificial Intelligence and Machine Learning — Four CPUs paired with up to four double-width GPUs in a 1:1 CPU-to-GPU ratio deliver the memory bandwidth, PCIe interconnect saturation, and floating-point throughput required for deep learning training, neural network inference, and large-scale ML pipeline execution across terabyte-scale datasets
GPU Database Acceleration — The R940xa is specifically designed to drive GPU database acceleration using platforms such as NVIDIA RAPIDS cuDF and OmniSci; quad-socket CPU memory feeds GPU accelerators with high-bandwidth data at scales that overwhelm single-GPU workstations, enabling real-time analytics on datasets that exceed single-GPU VRAM capacity
Real-Time Inference at Enterprise Scale — Four high-TDP GPU cards in full PCIe x16 slots combined with 48 DIMM slots and up to 15.36 TB addressable memory serve simultaneous inference requests from large-scale recommendation engines, fraud detection models, NLP services, and computer vision pipelines without saturation under peak concurrent load
High Performance Computing — Simulation and Modeling — Quad 2nd Gen Xeon Scalable processors with Intel Ultra Path Interconnect provide dense parallel CPU compute cores for MPI-parallel HPC workloads; GPU acceleration offloads FFT, matrix decomposition, and Monte Carlo simulation inner loops for hybrid CPU/GPU HPC codes in financial modeling, seismic, and computational fluid dynamics
Genomics and Life Sciences — GPU-accelerated genomics pipelines (GATK on GPUs, NVIDIA Clara Parabricks) compress multi-day whole-genome secondary analysis to hours; 48 DIMM slots and support for Intel Optane DCPMM provide the memory capacity for large reference genome databases and in-memory alignment operations
Data Analytics and In-Memory Databases — Up to 15.36 TB of addressable memory across 48 DIMM slots enables SAP HANA, Oracle Database In-Memory, and SQL Server In-Memory OLTP scale-up instances; GPU acceleration adds columnar query offload and real-time stream analytics capabilities alongside the traditional in-memory database workload
FPGA-Accelerated Infrastructure — Up to four double-width or eight single-width full-height FPGAs in the 12-slot PCIe fabric provide deterministic hardware-accelerated packet processing, custom inference algorithm offload, encryption acceleration, and real-time signal processing for telecommunications, financial trading, and networking appliance workloads
Quad 2nd Generation Intel® Xeon® Scalable — Up to 28 Cores Per Socket, 112 Cores Total
4 × LGA 3647 Sockets (2nd Gen Xeon Scalable) — Gold and Platinum processor support across the full 2nd Gen lineup; up to 28 cores per socket at up to 3.7 GHz; quad configuration reaches 112 cores / 224 threads; 205 W max TDP per socket; mismatched CPU SKUs not supported — all four processors must be the same model
1:1 CPU-to-GPU System Architecture — The R940xa is architected to balance four CPU sockets with four GPU slots, providing each GPU with direct PCIe lanes to its nearest CPU complex for the lowest-latency GPU-to-host-memory path; this CPU/GPU symmetry prevents PCIe hop bottlenecks that degrade throughput in asymmetric AI training configurations
Intel Ultra Path Interconnect (UPI) — Intel UPI at up to 10.4 GT/s connects all four CPU sockets in a coherent fabric; UPI enables CPU sockets to share GPU device memory references across NUMA domains, critical for GPU workloads where host memory staging buffers are spread across all 48 DIMM slots at full system memory capacity
Intel C620 Chipset — PCH provides ACPI 4.0, PCIe 3.0 lane routing, xHCI USB 3.0, Intel Trusted Execution Technology, VT-d, and Intel Node Manager 4.0 for a complete enterprise management and I/O baseline underneath the accelerator-facing compute fabric
AVX-512 and Deep Learning Boost — AVX-512 FMA doubles throughput for vector math, data compression, and cryptographic workloads relative to AVX2; Deep Learning Boost VNNI instructions accelerate INT8 neural network inference in-CPU for lightweight models that do not require GPU offload — enabling cost-effective tiered inference between CPU and GPU
Six DDR4 Memory Channels Per Socket — Each processor drives 6 DDR4 channels at up to 2933 MT/s with single DIMM per channel (2666 MT/s at 2 DPC); four sockets fill all 48 DIMM slots in full dual-DIMM-per-channel configuration, delivering the aggregate memory bandwidth to feed GPU data pipelines at sustained throughput
Simultaneous Multi-Threading (SMT) — Hyper-Threading enabled on all Xeon Scalable SKUs doubles logical thread count for parallel CPU workloads running alongside GPU-accelerated jobs; R940xa also supports High Reliability mode for mission-critical deployments requiring CPU pipeline error detection above standard ECC DRAM protection
48-Slot DDR4 — Up to 6 TB LRDIMM or 15.36 TB with Intel Optane Persistent Memory
48 DDR4 DIMM Slots — 12 slots per CPU across six DDR4 channels; all 48 slots active in quad-processor configuration; RDIMM and LRDIMM supported (not mixed); RDIMMs up to 32 GB, LRDIMMs at 64 GB and 128 GB for up to 6 TB total DDR4 capacity in the maximum-density LRDIMM configuration
Up to 6 TB DDR4 LRDIMM — 48 × 128 GB LRDIMMs fill total system memory capacity for large-scale in-memory analytics, GPU host-staging buffers, and mission-critical database platforms where maximum DDR4 capacity without persistent memory is the target configuration
Up to 15.36 TB with Intel Optane DCPMM — Up to 24 Intel Optane DC Persistent Memory DIMMs (6 per socket) in 256 GB or 512 GB capacities combined with LRDIMMs reach 15.36 TB addressable memory; App Direct Mode exposes PMem as byte-addressable persistent storage; Memory Mode uses DRAM as L4 cache transparent to applications
NVDIMM-N — Up to 12 Supported — Up to 12 NVDIMM-N modules (16 GB and 32 GB supported) provide battery-backed DRAM-speed persistent memory for write-ahead logs, write buffers, and metadata structures that must survive power loss; ideal for GPU database platforms where GPU result persistence on the CPU side requires guaranteed durability
DDR4-2933 Peak Speed — Single DIMM per channel achieves 2933 MT/s; dual DIMM per channel runs at 2666 MT/s; fully loaded 48-DIMM configurations operate in 2 DPC mode for maximum capacity at slightly reduced per-channel bandwidth — a correct trade-off in memory-capacity-bound AI and analytics workloads
Advanced RAS: Mirroring, Sparing, and Fault Resilient Memory — Memory Mirroring for transparent DIMM failover; Single/Multi-Rank Sparing for pre-allocated hot-stand-by rank recovery; Dell Fault Resilient Memory protects virtualized guest workloads from DIMM faults; High Reliability mode adds CPU-level error checking above DRAM ECC for mission-critical GPU database deployments
GPU Host Memory Staging — CUDA and ROCm GPU frameworks stage dataset batches from host system memory to GPU device memory over PCIe; 48 DIMM slots ensure the host staging buffer space does not become a throughput bottleneck ahead of GPU execution, keeping all four GPU cards saturated at peak compute utilization
Up to 32 × 2.5-Inch Hot-Swap Drive Bays — NVMe, SAS, and SATA in Four Chassis Configurations
32 × 2.5-Inch SAS/SATA (Maximum Density) — The highest-capacity R940xa front chassis configuration supporting 32 hot-plug 2.5-inch SAS/SATA HDD or SSD drives; purpose-built for AI/ML training data lakes, GPU database warm storage, and analytics platforms where internal storage density minimizes data movement latency to GPU memory
32 × 2.5-Inch with NVMe Bays — Active backplane configuration on the 32-bay chassis supports up to 4 × CPU Direct-Attach NVMe PCIe SSDs within the 32 drive positions for configurations mixing high-capacity SAS/SATA tiers with a high-speed NVMe cache tier feeding GPU workloads directly
24 × 2.5-Inch SAS/SATA — Mid-range chassis density for configurations balancing drive count with PCIe expansion card capacity; supports NVMe direct-attach in selected bays via active backplane; compatible with PERC RAID H740P, H730P, H330, and S140 software RAID depending on drive protocol mix
8 × 2.5-Inch SAS/SATA or SATA Only — Compact storage option for GPU-primary deployments where local storage is purely for OS boot and dataset staging from external NAS or SAN; optional front USB 3.0 port available only on the 8-bay chassis configuration; optical drive bay available
4 × 2.5-Inch NVMe Only — Dedicated NVMe-only chassis variant for maximum NVMe PCIe SSD throughput without SAS/SATA backplane infrastructure; each NVMe drive occupies a CPU-direct PCIe lane slot for the lowest possible storage-to-GPU pipeline latency in all-flash compute node configurations
SAS 12 Gbps and SATA 6 Gbps Support — All 2.5-inch SAS HDD/SSD and SATA HDD/SSD drives supported in respective chassis variants; SAS 12 Gbps SSDs and HDDs are the primary storage medium for 24-bay and 32-bay configurations; SATA SSDs available for cost-optimized warm-tier storage layers underneath NVMe hot-tier drives
External SAS Expansion — External H840 RAID and 12 Gb SAS HBA connect external PowerVault disk shelves and tape libraries from rear PCIe slots for R940xa deployments requiring data archive or multi-tier storage attached locally without SAN fabric investment
BOSS M.2 SATA RAID Module and IDSDM with vFlash for Dedicated OS Boot Storage
BOSS Card (Boot Optimized Storage Subsystem) — Dedicated PCIe module with M.2 SATA interface hosts two M.2 SATA SSDs in hardware RAID 1; installs without consuming any front drive bay, keeping all 8–32 data bays fully available for GPU training datasets, analytics storage, and workload I/O in the R940xa
M.2 SATA RAID 1 Mirror — BOSS controller presents the two M.2 drives as a single mirrored RAID 1 volume to the OS; M.2 drive failure is completely transparent to the operating system; no rebuild interrupts GPU workloads; capacity choices of 240 GB or 480 GB per M.2 drive accommodate full OS installations with log rollover
Critical for GPU Workload Deployments — AI/ML training nodes, GPU database servers, and inference platforms benefit most from BOSS because the dedicated OS boot path frees every front-panel drive bay for dataset storage, NVMe cache, or SAN staging volumes without competition from the OS volume
IDSDM — Internal Dual SD Module — Two microSD cards (16, 32, or 64 GB) in hardware-mirrored IDSDM for VMware ESXi or other hypervisor deployments where the entire boot image fits in compact flash form factor; eliminates both PCIe slot and front bay consumption for the boot volume in virtualized R940xa GPU clusters
vFlash Module (16 GB) — Third microSD slot on the IDSDM card stores iDRAC vFlash content: OS ISO deployment images, RACADM provisioning scripts, and firmware staging payloads accesssible from iDRAC Virtual Media without external USB drives at the data center aisle
Combined IDSDM + vFlash Support — Both IDSDM and vFlash modules can be installed simultaneously in the IDSDM bay for combined persistent OS mirror boot plus iDRAC vFlash provisioning storage in a single integrated bay without consuming separate bays or PCIe slots
PERC RAID Boot Alternative — When BOSS is not used, OS boot on a RAID 1 SAS/SATA mirror through the PERC controller is also supported; BOSS is the preferred dedicated option as it leaves the PERC controller and all front drives entirely free for workload storage RAID groups
PERC H740P, H730P, H330, HBA330, H840 External, S140, and 12G SAS HBA
PERC H740P (Premium Performance) — 12 Gbps SAS/SATA hardware RAID with 4 GB or 8 GB NV cache; RAID 0/1/5/6/10/50/60 for maximum rebuild speed and sustained I/O for 32-bay dense storage configurations serving GPU training dataset reads at sustained throughput
PERC H730P (Value Performance) — 12 Gbps hardware RAID with 2 GB NV cache; balanced performance for SAS/SATA mixed-workload environments where the H740P NV cache premium is not required; available as Mini PERC internal form factor preserving a PCIe expansion slot
PERC H330 (Entry Tier) — 12 Gbps hardware RAID 0/1/5/6/10/50/60 without NV cache; cost-optimized for deployments where write-back cache acceleration and rebuild performance are not primary priorities; Mini PERC internal form factor preserves expansion slots for GPU and networking cards
HBA330 / HBA350i (Non-RAID Pass-Through) — 12 Gbps SAS JBOD HBA for software-defined storage (Ceph, GlusterFS) and direct block-device access without PERC RAID translation; supported as Mini internal or full-height adapter form factors for distributed storage nodes built on the R940xa platform
H350 / H750 (Adapter Form Factor) — Full-height PCIe adapter RAID options (H350 entry, H750 performance) for configurations requiring a second independent RAID domain or where Mini PERC form factor is occupied; H750 provides NV cache write acceleration in full-height adapter form
S140 Software RAID — Intel chipset RAID 0/1/5/10 for SATA and NVMe drives via CPU; entry-level boot volume and dataset staging configurations where hardware RAID controller cost is not justified; NVMe drives under S140 still benefit from CPU-direct PCIe attach latency regardless of software RAID overhead
H840 / 12G SAS HBA / HBA355e (External) — External rear-installed controllers for SAS disk shelf expansion, LTO tape, and JBOD connectivity; HBA355e low-profile adapter available for mixed internal/external storage topologies where the R940xa serves as a storage gateway alongside its compute and GPU acceleration roles
Up to 4 × Double-Width GPUs or 8 × Single-Width FPGAs in a 1:1 CPU-to-GPU Architecture
4 × Double-Width GPU Installation — The R940xa's signature capability: four full-height double-slot 300 W-class GPU cards populate the 4U chassis in dedicated GPU risers, delivering four times the GPU memory capacity and four times the FLOPS throughput of single-GPU nodes for deep learning training, inference serving, and GPU database acceleration workloads
1:1 CPU-to-GPU Ratio Design — Each GPU slot is architecturally paired with one of the four processor sockets, allocating dedicated PCIe lanes directly from each CPU to its corresponding GPU without inter-socket PCIe hop penalties; this symmetrical design ensures consistent GPU-to-host bandwidth across all four GPUs simultaneously under full training load
Up to 4 × Double-Width FPGAs — Four double-width full-height FPGAs (Intel/Xilinx variants) in the same GPU slots for hardware-accelerated packet forwarding, custom algorithm execution, high-frequency trading signal processing, and genomics pipeline offload at deterministic sub-microsecond latencies not achievable with GPU or CPU compute alone
Up to 8 × Single-Width FPGAs — Alternative half-height single-width FPGA cards can populate eight total positions when two single-width FPGAs occupy each physical double-width slot; maximizes FPGA card count for workloads requiring many independent FPGA instances rather than maximum per-FPGA resource capacity
PCIe Gen 3 x16 Full-Height GPU Slots — GPU cards occupy full-height full-length PCIe Gen 3 x16 dedicated positions; full x16 PCIe bandwidth per GPU ensures GPU VRAM data prefetch and result staging are not bandwidth-limited at sustained training throughput; NVLink or NVSwitch inter-GPU communication supported subject to GPU vendor specifications
GPU and Storage Coexistence — Unlike 2U platforms that sacrifice drive bays for GPU riser cards, the R940xa's 4U chassis accommodates all four GPU cards AND up to 32 front drive bays simultaneously; AI training workflows that stream data directly from local NVMe or SAS storage to GPU VRAM benefit from this combined density
PSU Sizing for 4-GPU Configurations — 4 × 300 W GPUs plus 4 × 205 W Xeon Platinum processors (1220 W total active alone) require 2000 W, 2400 W, or 2600 W PSU configurations with full redundancy headroom; the R940xa supports up to 4 × PSU bays for multiple PSU redundancy schemes at full 4-GPU population
Up to 12 × PCIe Gen 3 Slots — 6 × x16 or 2 × x16 + 10 × x8 Riser Configurations
12 × PCIe Gen 3 Slots Total — The R940xa provides up to 12 PCIe Generation 3 expansion slots accommodating the four GPU/FPGA cards plus additional storage controllers, networking adapters, and NVMe HBAs; slot-to-CPU affinity is maintained so each GPU's data pipeline runs coherently within its CPU socket PCIe domain
6 × x16 Configuration — When all riser cards are configured as x16, six full-bandwidth x16 slots are available for four double-width GPUs, one PERC RAID controller, and one 100G NIC — the standard high-performance training node configuration that maximizes GPU PCIe bandwidth while maintaining storage RAID and networking
2 × x16 + 10 × x8 Configuration — Alternative slot configuration with two x16 slots (for the two highest-bandwidth GPU cards) and ten x8 slots (for additional GPUs at reduced per-slot bandwidth, plus RAID, NICs, and NVMe adapters); enables more total expansion cards when x8 bandwidth is sufficient for secondary cards
Full-Height Expansion Riser 1 and Riser 2 — Two full-height expansion risers on the rear of the chassis house the primary GPU cards plus additional PCIe adapter cards; riser configuration (x8 vs x16) is selected at build time based on the GPU models and PCIe card bandwidth requirements for the target workload
Low-Profile System Board Slots — Two additional low-profile expansion slots on the system board are always present regardless of riser configuration; used for BOSS boot module, HBA, external SAS controller, or additional low-profile NICs without occupying full-height riser positions reserved for GPU/FPGA cards
rNDC Dedicated Slot (Separate) — The rear Network Daughter Card installs in a dedicated system board slot at x8 bandwidth; does not count against the 12 PCIe expansion slots, preserving all 12 positions for GPU/FPGA cards, storage controllers, and additional networking without any rNDC slot conflict
NVMe PCIe SSD Direct-Attach — Up to 4 × CPU direct-attach NVMe PCIe SSDs in select chassis configurations route through dedicated PCIe lanes; NVMe PCIe SSD path does not share bandwidth with GPU slots when properly configured per the R940xa PCIe slot affinity map
Dell Select rNDC — 4 × 1 GbE, 4 × 10 GbE, 2 × 10GbE + 2 × 1 GbE, or 2 × 25 GbE
rNDC Integrated Without PCIe Slot Consumption — The rear Network Daughter Card installs in a dedicated system board rNDC slot at x8 PCIe bandwidth; all 12 general-purpose PCIe expansion slots remain available for GPU cards, storage controllers, and additional dedicated networking without rNDC slot competition
4 × 1 GbE Option — Quad copper 1 Gbps rNDC for deployments with 1 GbE top-of-rack infrastructure; provides management plane, out-of-band monitoring, and lightweight control-plane connectivity across all four ports without requiring 10/25 GbE switch infrastructure at each R940xa node
4 × 10 GbE Option — Quad 10 Gbps SFP+ or BASE-T rNDC for four-port NIC teaming, iSCSI multi-path, NFS storage, and distributed GPU training gradient exchange traffic where 10 GbE switch bandwidth is sufficient for the AI/ML workload inter-node communication pattern
2 × 10 GbE + 2 × 1 GbE Option — Hybrid rNDC with two 10 GbE data-plane ports and two 1 GbE management-plane ports; balances primary GPU training traffic bandwidth with dedicated management connectivity in a single integrated adapter occupying no general-purpose PCIe slot
2 × 25 GbE Option — Dual SFP28 25 Gbps rNDC for high-bandwidth inter-node GPU gradient traffic in distributed deep learning training clusters using 25 GbE top-of-rack switching; 25 GbE provides sufficient bandwidth for AllReduce gradient aggregation between R940xa nodes during multi-node training runs
Additional PCIe Networking — 100G and InfiniBand — 100G NICs (Mellanox ConnectX, Intel, Broadcom) and InfiniBand HCA EDR/HDR cards can be installed in PCIe x16 slots for RDMA-over-Converged-Ethernet (RoCE) or InfiniBand AI cluster fabrics requiring the lowest possible inter-GPU-node latency during AllReduce gradient synchronization
iDRAC9 Dedicated Management Port — Separate 1 GbE rear iDRAC9 port provides out-of-band management access independent of all data-plane rNDC and PCIe NIC ports; iDRAC remains accessible for GPU health monitoring, power capping, and firmware updates even when all data network connections are cycled for cluster reconfiguration
Hot-Plug Redundant PSUs — 750 W Titanium to 2600 W Titanium, Platinum and DC Options
Redundant Hot-Plug PSU Bays — Multiple hot-swappable rear-accessible PSU bays with N+1 redundancy; a PSU failure is replaceable under full 4-GPU operational load without interrupting training runs, active inference jobs, or database queries — essential in always-on AI and GPU database production environments
750 W Titanium (Entry) — Lowest-wattage option for R940xa configurations with minimal GPU population and moderate CPU TDPs; 750 W AC Titanium achieves the highest efficiency rating tier for data centers targeting maximum PUE reduction across GPU server deployments; also available as 750 W Mix Mode HVDC for China DC-bus racks
1100 W Platinum and DC — Standard tier for dual-GPU or dual-processor configurations; 1100 W DC supports 48 V telecommunications rack infrastructure; 1100 W HVDC (China/Japan) for high-voltage DC-bus deployments; 80 PLUS Platinum efficiency at standard AC voltages
1600 W Platinum and Titanium — Recommended minimum for quad-socket moderate-TDP configurations with two or three GPU cards; 1600 W Titanium HLAC variant achieves highest efficiency tier for high-line (200–240 V) AC data center PDU environments; paired PSUs in N+1 configuration provide single-PSU-loss protection
2000 W and 2400 W Platinum — Required for full 4-GPU plus quad Xeon Platinum 8280 (4 × 205 W CPU + 4 × 300 W GPU = 2020 W active power minimum); 2400 W provides headroom for full 32-drive population and all PCIe expansion cards simultaneously at sustained peak workload without PSU power throttling
2600 W Titanium HLAC — Highest-wattage option for maximum-density 4-GPU configurations or future GPU generations with higher TDP cards; High Line AC (200–240 V input) at Titanium efficiency grade; designed for facilities with high-voltage PDU infrastructure targeting maximum single-PSU wattage headroom
iDRAC9 Power Monitoring and Capping — 1% accuracy real-time power reporting versus the 5% industry standard; GPU power consumption monitored through iDRAC alongside CPU and chassis power for a complete watt-level picture; Power Capping enforces hard per-server watt limits for colocation GPU rack billing compliance
Up to 6 Hot-Plug N+1 Fans with Intelligent Multi-Vector Thermal Control
Up to 6 Hot-Plug Cooling Fans — Six hot-plug fans in N+1 redundant configuration allow a single fan failure without thermal shutdown; fans are field-replaceable under full 4-GPU training load without removing the chassis from the rack — critical in AI training deployments running continuous multi-day training jobs
GPU Thermal Design in 4U Chassis — The R940xa's 4U chassis height provides significantly greater fan blade area and airflow cross-section than 2U or 3U platforms accommodating GPU cards; validated for four simultaneously active double-width 300 W GPU cards alongside quad high-TDP Xeon Scalable processors within the standard operating envelope
Open + Closed Loop Hybrid Thermal Control — Open-loop pre-computed fan tables load from system BOM at startup; closed-loop sensors on CPUs, DIMMs, GPUs, PCH, inlet air, NVMe drives, and PCIe cards continuously refine fan speeds to the minimum required for all thermal compliance margins across the entire 4-GPU accelerator configuration
Standard 10–35°C Operating Range — Full component support including four GPU cards and all CPU TDP tiers within the standard recommended ambient temperature range; DAPC (Dell Active Power Controller) minimizes fan power consumption while maintaining all component thermal margins at sustained 100% GPU utilization
Extended Fresh Air Cooling (5–40°C) — Continuous operation up to 40°C ambient for thermally compliant configurations; high-TDP 4-GPU full-load configurations may have de-rating limits above 30°C reviewed in the R940xa thermal guidelines; facilities should ensure at least 30°C maximum inlet air for full 4-GPU configurations
iDRAC9 Thermal Profiles — BIOS thermal settings include Performance Per Watt (DAPC/OS), Performance Optimized, and Maximum Performance modes; GPU-specific thermal profiles available for sustained 24×7 AI training workloads; Max Exhaust Temperature and Fan Speed Offset configurable for colocation racks with strict BTU caps
GPU Airflow Path Validation — Dell EMC validates cooling airflow paths for all supported GPU card combinations in the R940xa including mixed GPU+FPGA configurations; consult the R940xa thermal documentation for specific GPU TDP limits and ambient de-rating tables before deploying high-TDP GPU generations exceeding standard validated power envelopes
Front USB 2.0 × 2, iDRAC Direct, Front VGA, Rear USB 3.0 × 2, Internal USB 3.0, and Full Rear Panel
Front USB 2.0 × 2 — Two USB 2.0 ports on the front control panel for OS installation media, USB diagnostic tools, and field service drives without routing cables to the rear of the 4U chassis while racked at the GPU cluster
Optional Front USB 3.0 (8-Bay Chassis Only) — A single optional USB 3.0 SuperSpeed (5 Gbps) port on the front control panel is available exclusively in the 8-bay chassis configuration; not available on 24-bay or 32-bay chassis variants due to front panel space occupied by higher drive bay density
Front iDRAC Direct (Micro-USB) — Dedicated Micro-AB USB front port for direct laptop-to-iDRAC9 connectivity without requiring network access; LED indicator illuminates during active iDRAC Direct sessions; enables field GPU health checks, firmware staging, and sensor log collection from the rack aisle without backend management access
Front VGA Port — VGA connector on the front control panel for monitor console access during POST diagnostics, BIOS GPU configuration, PERC RAID setup, and OS installation without routing cables to the rear panel in a deep 4U chassis racked at the top of a GPU cluster
Rear USB 3.0 × 2 — Two SuperSpeed USB 3.0 (5 Gbps) rear ports for persistent keyboard/mouse attachments, external storage drives, and KVM adapter dongle connections in environments with permanent rear-accessible service connections
Internal USB 3.0 × 1 — One internal USB 3.0 port on the system board for a permanently installed internal USB key or internal storage device; useful for persistent license keys, boot-media alternatives, or internal configuration storage without physical external port exposure
Rear VGA, Serial, and iDRAC9 Management Port — 1 × rear VGA, 1 × DB-9 serial (iDRAC9 SOL-capable), and 1 × dedicated 1 GbE iDRAC9 RJ-45 management port; additional 2 × VGA via system video card; System ID button with blue LED for rack identification; serial port supports headless console redirect through out-of-band management
Cyber Resilient Architecture — Silicon Root of Trust, TPM, Secure Boot, and System Erase
Silicon Root of Trust — Factory-burned cryptographic identity in iDRAC9 silicon validates every firmware component in the boot chain before any host CPU instruction executes; hardware-anchored trust is immune to OS-layer and hypervisor-layer firmware injection attacks — critical for AI training clusters handling proprietary model weights and regulated training data
Cryptographically Signed Firmware — All firmware packages — BIOS, iDRAC, PERC, GPU NIC, PSU — carry Dell-issued digital certificates verified by Lifecycle Controller at install time; ensures supply-chain firmware integrity from factory to GPU server rack deployment without relying on software-only verification
UEFI Secure Boot — Verifies all bootloader and GPU driver module signatures before the OS/hypervisor stack loads; prevents unsigned GPU driver injection, rootkit installation, and unauthorized OS images from executing during the pre-OS phase when GPU workload context is most vulnerable to tampering
TPM 2.0 and TPM 1.2 (Optional) — Pluggable TPM provides hardware-rooted key storage for BitLocker encryption of training dataset volumes, vTPM support for VMware GPU passthrough VMs, Intel TXT measured boot, and platform attestation; TPM China (TPM 2.0) available for China-regulatory compliance
System Lockdown Mode — iDRAC9 lockdown prohibits all hardware and firmware configuration changes from BIOS, iDRAC, RACADM, and WS-Man until administrator token removal; prevents unauthorized configuration changes to GPU slot assignments, PCIe riser configurations, and memory topology in shared GPU cluster environments
System Erase (NIST 800-88) — Cryptographic and overwrite secure erase on all internal storage media including SSDs, HDDs, NVMe PCIe SSDs, NVDIMM flash, and IDSDM microSD cards; NIST 800-88-compliant decommissioning removes training dataset traces and model weights before server redeployment or lease return in regulated AI environments
Physical Security Features — Non-keyed cover latch with optional lock; optional front bezel with keyed lock protecting externally accessible drives and control panel; chassis intrusion detection switch; power-button disable via BIOS; front bezel LCD display for system status without physical access to control panels
iDRAC9 with Lifecycle Controller, RESTful Redfish API, Quick Sync 2, and OpenManage
iDRAC9 — GPU Health and Power Monitoring — iDRAC9's dedicated management processor monitors GPU card health, temperature, power draw, and error state alongside CPU, DIMM, drive, and PSU telemetry; 1% power accuracy versus 5% industry standard enables precise GPU rack billing, power budgeting, and per-GPU watt-level power capping
Lifecycle Controller 3.x — Agent-free OS deployment, firmware baseline update, hardware configuration, and log collection through iDRAC9 without a running OS; supports touch-free bare-metal deployment of GPU cluster nodes across all R940xa CPU and GPU configurations from a remote console
iDRAC RESTful API with Redfish — Full DMTF Redfish 1.0 JSON REST API enables infrastructure-as-code GPU cluster automation; Ansible Playbooks, Terraform modules, Python GPU orchestration scripts, and Kubernetes Node Feature Discovery hooks can query R940xa GPU inventory, firmware state, and power/thermal telemetry programmatically
Quick Sync 2 Wireless Module (Optional) — BLE + Wi-Fi bezel module enables iDRAC9 inventory, RACADM command push, and GPU health check from the Dell OpenManage Mobile app on a smartphone at the server front panel; useful during GPU cluster physical expansion without dedicated laptop or management station at the rack
OpenManage Enterprise — Single console for complete GPU cluster lifecycle management including automated discovery, firmware compliance baselining across all R940xa nodes, policy enforcement, alert escalation to ticketing, and per-server GPU power consumption dashboards across the deployment
Ecosystem Integration — OMIVV for VMware vCenter manages R940xa health and firmware from vSphere for GPU passthrough and vGPU cluster environments; Ansible, System Center, Red Hat Satellite, BMC TrueSight, Nagios Core/XI, and IBM Tivoli integration covers all major ITSM and IT operations platforms used in AI and HPC data centers
SupportAssist Embedded — Proactive and predictive diagnostics engine in iDRAC9 auto-creates Dell support cases, dispatches replacement parts, and generates AI-based failure probability scores for GPUs, drives, DIMMs, and PSUs; early detection reduces unplanned training job interruption from hardware failures in multi-day GPU training runs
Windows Server, RHEL, SLES, VMware ESXi, Ubuntu, Oracle Linux, and Citrix Hypervisor Certified
Ubuntu Server LTS — Primary OS for deep learning training workflows; NVIDIA CUDA, cuDNN, TensorFlow, PyTorch, and RAPIDS ships with Ubuntu-first support; Ubuntu LTS long-term security cadence aligns with R940xa operational lifespan in production AI data centers; Ubuntu Advantage and Canonical certified hardware support available
Red Hat Enterprise Linux (RHEL) — RHEL 7 and 8 certified including RHEL for AI/ML workloads with OpenShift AI (formerly RHODS) bare-metal worker node deployments; NVIDIA GPU Operator on RHEL automates GPU driver, container toolkit, and device plugin provisioning across R940xa GPU cluster nodes
VMware ESXi with vGPU — VMware HCG certified; NVIDIA vGPU (NVIDIA Virtual Compute Server, Virtual PC, Virtual Apps) supported on VMware vSphere for multi-tenant GPU sharing across isolated VMs; OMIVV for vCenter manages R940xa firmware and health from vSphere web client in GPU-virtualized environments
Windows Server LTSC with Hyper-V — Hyper-V GPU-P (GPU partitioning) and DDA (Discrete Device Assignment) for Windows-based GPU VM workloads; DirectML and DirectX 12 GPU compute accessible from Hyper-V guests; iDRAC Service Module (iSM) provides host-to-iDRAC integration without separate management agent
SUSE Linux Enterprise Server (SLES) — SLES for SAP Applications certified; SLES HPC edition for R940xa GPU/HPC configurations; NVIDIA GPU drivers and CUDA toolkit available for SLES for Kubernetes-based ML pipeline deployments on GPU server clusters
Oracle Linux — Certified for Oracle Database GPU extensions, Oracle Big Data Service, and Oracle Machine Learning workloads on Unbreakable Enterprise Kernel (UEK); hardware vendor co-support eligibility for Oracle installations requiring both Dell and Oracle support coverage on the same server
Citrix Hypervisor — Citrix Hypervisor GPU passthrough (DirectPath I/O) and vGPU (NVIDIA GRID) supported for GPU-accelerated VDI (Citrix Virtual Apps and Desktops) and hosted private cloud environments where GPU cards are shared across multiple Citrix user sessions at scale
ReadyRails Sliding and Static for All 19-Inch 4-Post and 2-Post Rack Types
ReadyRails Sliding — Standard (Drop-In) — Tool-less drop-in installation in 19-inch square or unthreaded round-hole 4-post racks; tooled install for threaded racks; full-extension slide for DIMM, drive, fan, GPU card, PCIe riser, and processor servicing without removing the 4U chassis from the rack
ReadyRails Sliding — Stab-In/Drop-In (Gen 14) — New Gen 14 stab-in design for Dell EMC Titan and Titan-D racks; supports square, round, and threaded round-hole racks; recommended for mixed-cabinet GPU clusters deploying R940xa alongside other Dell EMC enclosures in the same data center row
Optional Cable Management Arm (CMA) — CMA organizes all rear GPU power, PCIe, SAS, and network cables during full-extension chassis service; important in 4U GPU servers where cable bundle density at the rear is significantly higher than standard 1U/2U nodes; minimum deep-cabinet depth required for CMA + full chassis extraction
ReadyRails Static — Stab-in installation for widest rack compatibility across 19-inch square, round, threaded 4-post, and 2-post Telco racks; no CMA compatibility in static configuration; fastest deployment option for GPU clusters in colocation environments with mixed rack vendor inventory
4U Chassis Profile — Standard 4U (four rack unit) height in 19-inch EIA-310-E compliant cabinets; 4U profile provides sufficient internal volume for full 4-GPU installation with dedicated GPU risers plus up to 32 front drive bays — a combined density not achievable in 2U or 3U competing platforms
Weight and Lift Requirements — Fully loaded 4U chassis with 32 drives, four GPU cards, four processors, 48 DIMMs, and all PSUs requires 2-person lift per OSHA ergonomic guidelines; plan for 2-person rack team for all R940xa installation and de-racking operations in GPU cluster deployments
Dell Rack Compatibility — ReadyRails Stab-In/Drop-In required for Dell EMC Titan and Titan-D enclosures; standard sliding rails for PowerEdge-series Dell racks; static rails for non-Dell third-party cabinets where sliding rail minimum depth is not available; all rail types are EIA-310-E 19-inch standard compatible
R940xa vs R930 — New GPU Slots, Cascade Lake, Intel UPI, DCPMM, iDRAC9, and 25 GbE rNDC
GPU Acceleration — Entirely New (R940xa) vs Not Available (R930) — The R940xa is the first Gen 14 4-socket server designed specifically for GPU acceleration; the R930 had no GPU slots, no GPU riser cards, and no PCIe bandwidth allocation for accelerator cards — the R940xa adds up to 4 × double-width GPUs in a wholly new system architecture
2nd Gen Xeon Scalable vs Xeon E7-4800 v3 — Cascade Lake-SP (LGA 3647) replaces Haswell-EX (LGA 2011-1); Intel UPI replaces QPI; 14 nm versus 22 nm; 28 cores per socket vs 18 per socket (E7-4890 v3); AVX-512 and Deep Learning Boost absent from all E7-4800 v3 SKUs; DCPMM requires Xeon Scalable — not possible on any E7 platform
Up to 15.36 TB Addressable Memory vs DDR4-Only — R940xa supports Intel Optane DCPMM reaching 15.36 TB total addressable; the R930 supported DDR4 only with a maximum of approximately 3 TB using 96 × 32 GB LRDIMMs; the R940xa's DCPMM capability enables in-memory dataset sizes that the R930 physically cannot support
12 PCIe Gen 3 Slots vs 10 (R930) — R940xa adds two additional PCIe expansion slots over the R930; more critically it adds dedicated GPU riser positions not present on the R930; PCIe Gen 3 is consistent across both generations but the R940xa's slot-to-CPU affinity design for GPU workloads is entirely new architecture
32 × 2.5-Inch Drive Bays vs 24 (R930) — R940xa maximum-density chassis supports 32 front drive bays versus R930's 24; the additional 8 positions provide critical local dataset storage capacity for AI training data lakes that keep training data close to GPU VRAM without round-trip network I/O through the cluster fabric
25 GbE rNDC (New) and USB 3.0 Upgrade — R940xa adds a 2 × 25 GbE rNDC option not available on R930 for high-bandwidth GPU cluster inter-node gradient traffic; rear USB updated to 3.0 from 2.0; internal USB updated to 3.0 from 2.0 for faster internal storage device provisioning
iDRAC9 vs iDRAC8 — GPU Telemetry, Silicon Root of Trust, Redfish, and System Erase — iDRAC9 adds GPU health monitoring, Silicon Root of Trust, full Redfish REST API, Quick Sync 2 wireless, Server Lockdown, System Erase, and SupportAssist predictive AI diagnostics — all unavailable in iDRAC8; Lifecycle Controller 3.x replaces LC 2.x
| Feature | R930 (Gen 13) | R940xa (Gen 14) |
|---|---|---|
| GPU Acceleration | Not available | Up to 4 × DW GPU or 8 × SW FPGA |
| Processor Family | Xeon E7-4800 v3 (Haswell-EX) | 2nd Gen Xeon Scalable (Cascade Lake-SP) |
| Max Cores Total | 72 (4 × 18) | 112 (4 × 28) |
| CPU Interconnect | Intel QPI | Intel UPI (up to 3 links) |
| DIMM Slots Total | 96 | 48 (+ DCPMM / NVDIMM) |
| Max DDR4 LRDIMM | ~3 TB (96 × 32 GB) | 6 TB (48 × 128 GB) |
| Intel Optane DCPMM | Not supported | Up to 15.36 TB (24 × 512 GB) |
| Max Front Drive Bays | 24 × 2.5-inch | 32 × 2.5-inch |
| PCIe Expansion Slots | Max 10 PCIe Gen 3 | Max 12 PCIe Gen 3 |
| rNDC Max Speed | 2 × 10 GbE + 2 × 1 GbE | 2 × 25 GbE |
| Remote Management | iDRAC8 | iDRAC9 |
| Silicon Root of Trust | Not available | Hardware-anchored iDRAC9 |
| Form Factor | 4U Rack | 4U Rack |
ProSupport Plus with SupportAssist and ProDeploy for R940xa GPU Deployments
ProSupport Plus — Dell's highest-tier support plan with SupportAssist automated monitoring, AI-driven predictive failure scoring for GPUs, drives, DIMMs, fans, and PSUs, and an assigned Services Account Manager for proactive R940xa fleet management and planned maintenance coordination — essential for AI training clusters running continuous multi-day jobs
SupportAssist Embedded — Replaces manual support workflows with automated issue detection, case creation, and parts dispatch; predictive GPU failure alerts and DIMM anomaly detection reduce unplanned training job interruption; early parts dispatch minimizes GPU downtime windows in production AI inference serving environments
ProSupport — 24×7×365 certified hardware and software engineer access with on-site next-business-day or 4-hour mission-critical parts and labor response; human-escalated resolution for GPU server hardware failures within defined SLO windows for R940xa deployments with formal availability SLAs
ProSupport One for Data Center — Site-wide support covering all R940xa GPU servers plus Dell EMC storage and networking under one agreement with dedicated field and technical account managers; designed for large GPU cluster deployments with multiple server rows requiring unified support coverage
ProDeploy Enterprise Suite — Certified Dell deployment engineers handle rack-and-stack, GPU riser configuration, OS and CUDA toolkit installation, firmware baseline, and optional full AI platform deployment (TensorFlow, PyTorch cluster, Kubernetes GPU worker nodes) across all ProDeploy tiers up to ProDeploy Plus
Residency Services — On-site or remote Dell AI infrastructure experts available for GPU cluster network fabric design, NVIDIA CUDA Multi-Process Service tuning, InfiniBand vs RoCE AllReduce benchmark validation, Intel Optane DCPMM App Direct Mode configuration, and Kubernetes GPU operator deployment on R940xa nodes
TechDirect Self-Service — Online portal for self-dispatching GPU card and hardware replacement parts, opening and managing support cases without phone escalation, API integration with internal ITSM systems, and accessing Dell GPU server certification and training resources for R940xa cluster administrators
Frequently Asked Questions — Dell PowerEdge R940xa
The Dell PowerEdge R940xa supports up to 4 × double-width GPU cards in dedicated GPU riser slots, enabling a 1:1 CPU-to-GPU ratio across all four processor sockets. Alternatively, the same slots accommodate up to 4 × double-width FPGAs or up to 8 × single-width FPGAs. GPU cards install in full-height full-length PCIe Gen 3 x16 positions with dedicated per-GPU PCIe bandwidth to the nearest CPU socket, eliminating inter-socket PCIe hop penalties during training and inference workloads. Configure your R940xa at ECS.
The Dell PowerEdge R940xa supports 48 DDR4 DIMM slots with up to 6 TB DDR4 LRDIMM using 48 × 128 GB LRDIMMs. With Intel Optane DC Persistent Memory (DCPMM), total addressable memory reaches 15.36 TB using 24 × 512 GB PMem DIMMs alongside LRDIMMs. Up to 12 NVDIMM-N modules (16 GB or 32 GB each) are also supported. All 48 DIMM slots require a full quad-processor installation. DDR4 speed peaks at 2933 MT/s in single-DIMM-per-channel configurations.
The Dell PowerEdge R940xa is available in four chassis configurations: 4 × 2.5-inch NVMe-only, 8 × 2.5-inch SAS/SATA, 24 × 2.5-inch SAS/SATA, or 32 × 2.5-inch SAS/SATA (maximum density). The 32-bay chassis is the primary AI/ML training data storage configuration, providing 8 more drive bays than the R930 predecessor. Up to 4 CPU direct-attach NVMe PCIe SSDs are available across select chassis variants for a dedicated NVMe hot-cache tier alongside SAS/SATA drives.
Yes. Express Computer Systems stocks professionally reconditioned refurbished Dell PowerEdge R940xa servers configured to your exact specifications — GPU card selection, processor count, memory tier with optional Intel Optane DCPMM, storage chassis (8, 24, or 32 drive bays), and networking configuration. ECS tests every unit and ships it ready to deploy into your AI, ML, or GPU database environment. Shop refurbished Dell R940xa servers at ECS.
The Dell PowerEdge R940xa represents a major generational leap over the R930. The most significant addition is GPU acceleration — the R930 had no GPU slots; the R940xa supports up to 4 × double-width GPUs or 8 × single-width FPGAs. The R940xa moves from Haswell-EX (E7-4800 v3) to Cascade Lake-SP 2nd Gen Xeon Scalable, gaining Intel UPI, AVX-512, and Intel Optane DCPMM support (vs DDR4-only on R930). Maximum storage expands from 24 to 32 front drive bays, PCIe slots increase from 10 to 12, and the rNDC gains a 25 GbE option absent from R930.
Ready to Deploy the Dell PowerEdge R940xa?
Express Computer Systems offers professionally reconditioned Dell PowerEdge R940xa servers configured to your exact specifications — GPU card count, Intel Optane DCPMM memory tier, 32-bay storage chassis, or FPGA accelerator configuration. Our team tests every unit and backs every order with our quality guarantee.
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