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VRLA Tech AMD EPYC Server – 2U Rack
$15,849.99
The VRLA Tech AMD EPYC 2U Rack Server is the balanced compute-plus-GPU…
Description
The VRLA Tech AMD EPYC 2U Rack Server is the balanced compute-plus-GPU tier of our EPYC server family — built for AI training nodes, GPU rendering farms, LLM inference at scale, virtualization with vGPU pass-through, and HPC compute with GPU acceleration. It supports dual AMD EPYC 9005 processors with up to 384 total cores, 24-channel DDR5 ECC RDIMM memory, up to four full-size dual-width GPUs at full PCIe 5.0 x16 bandwidth, six hot-swap drive bays, dedicated IPMI/BMC remote management, and redundant power supplies. The 2U form factor is the sweet spot when your workload needs GPU acceleration but you want better per-rack density than a 4U server. Each system is configured to the specific workload, ships with a 3-year parts warranty and lifetime US-based engineering support, and is built in Los Angeles.
Configuration at a glance
| CPU | Dual AMD EPYC 9005 series — up to 384 total cores (dual 9965 192-core) |
| Platform | Dual SP5 socket, 12-channel DDR5 per CPU (24 channels total), 128 PCIe 5.0 lanes |
| Memory | 24-channel DDR5 ECC RDIMM, up to 6TB+ |
| GPU | Up to 4 NVIDIA RTX PRO 6000 Blackwell, H100 PCIe, L40S, RTX 5090, or RTX 4090 at full PCIe 5.0 x16 |
| Storage | Up to 6 hot-swap drive bays (NVMe / SAS / SATA) + dual M.2 NVMe boot |
| Networking | 1GbE / 10GbE baseline; 25GbE, 100GbE, 200GbE, 400GbE NDR PCIe Gen 5 cards available |
| Power & mgmt | Redundant titanium-rated PSUs, IPMI 2.0 / Redfish BMC remote management |
| Warranty | 3-year parts, lifetime US-based engineering support |
Built for compute-plus-GPU workloads
The 2U EPYC server occupies the sweet spot in our server family: full GPU capacity in a rack-efficient form factor. The 1U EPYC can’t fit full-size GPUs. The 4U EPYC dedicates additional rack space to thermal margin and maximum GPU density. The 2U is the right choice when your workload needs GPUs in a rack — AI training, GPU rendering, LLM inference, GPU-accelerated analytics, vGPU virtualization — but you want better per-rack density than a 4U server delivers.
It is a server, not a workstation — headless, dual-socket EPYC 9005, optimized for batch AI training, inference at scale, GPU rendering farms, and infrastructure deployment. The dual-socket platform delivers 24-channel DDR5 memory bandwidth, 128 PCIe Gen 5 lanes total, and up to 384 cores supporting four GPUs at full bandwidth. Six hot-swap drive bays balance storage capacity with GPU loadout — less than the 1U’s twelve bays, more than enough for most AI training, inference, and rendering datasets when paired with separate storage nodes.
It is not the right platform when you need maximum rack density without GPUs (use the 1U), or when you need maximum GPU count and thermal headroom for sustained 24/7 max-TDP operation (use the 4U). We tell you honestly which platform fits your workload. You can request a consultation here.
When the 2U EPYC server is the right platform
Versus the 1U EPYC Server
The 1U is optimized for headless CPU compute and storage density — virtualization clusters, NVMe storage servers, database servers, build farms. It cannot fit full-size GPUs. The 2U adds full GPU capacity (up to four cards) by trading 1U of rack space and six NVMe bays for GPU slots. Choose the 1U when you don’t need GPUs and rack density is paramount. Choose the 2U when GPU acceleration matters more than storage density. See our 1U EPYC server page for the storage-dense option.
Versus the 4U EPYC Server
The 4U is built for maximum GPU density (up to 4 to 8 GPUs depending on configuration), maximum thermal envelope for sustained 24/7 max-TDP operation, and high-storage-density deployments. The 2U trades thermal margin for rack density — twice the nodes per rack. Choose the 4U when you need eight GPUs per node, sustained max-TDP across all GPUs, or maximum storage. Choose the 2U when four GPUs is sufficient and you want better per-rack node density. See our 4U EPYC server page for the maximum-GPU option.
Versus Dell PowerEdge, HPE ProLiant, and Supermicro 2U servers
Dell PowerEdge R7625, HPE ProLiant DL345 Gen11, and Supermicro 2U EPYC GPU servers compete in the same form factor with similar dual-EPYC 9005 platforms. The differences are in customization, lead time, and support. VRLA Tech builds each system to your exact CPU, GPU, memory, storage, and networking specification rather than fitting your needs to a fixed catalog SKU. Lead time is typically 3 to 4 weeks for standard configurations. Support is direct to the engineer who built the system, not tier-one offshore scripts.
Versus a Supermicro 2U GPU server
Supermicro 2U GPU servers — including the SYS-221GE-NR, ARS-221GL-NR, and SYS-221GE-TNHT-LCC — are also AMD EPYC 9005 platforms with 2 to 8 GPU configurations, available through VRLA Tech as ASUS or Supermicro-branded systems. The trade-off is custom-built VRLA Tech 2U EPYC versus a specific Supermicro SKU. For workloads that fit a specific Supermicro chassis design (NVLink-equipped 8-GPU SXM nodes, for example), the Supermicro is appropriate. For workloads that benefit from custom CPU, GPU, and storage selection per node, the VRLA Tech 2U EPYC is more flexible. See our Supermicro GPU server pages for the OEM option.
Server platform comparison
| Feature | EPYC 2U Server | EPYC 1U Server | EPYC 4U Server | Supermicro 2U GPU | TR Pro 4U Rackmount |
|---|---|---|---|---|---|
| Form factor | 2U rack | 1U rack | 4U rack | 2U rack | 4U rack |
| CPU | Dual EPYC 9005 | Dual EPYC 9005 | Dual EPYC 9005 | EPYC or Xeon | Threadripper Pro 9000 |
| Max cores | 384 | 384 | 384 | 128 per socket | 96 |
| Max GPUs | Up to 4 | 0 to 1 (low profile) | Up to 4 to 8 | 2 to 8 | 4 (workstation) |
| Memory channels | 24 (dual socket) | 24 | 24 | 24 | 8 |
| Drive bays | Up to 6 hot-swap | Up to 12 NVMe | Up to 36+ | Varies | 8 to 12 |
| Display outputs | No (headless) | No (headless) | No (headless) | No (headless) | Yes |
| Best for | Balanced compute + GPU | Max density, virt, storage | Max GPU, AI training, HPC | AI training, inference | Workstation in rack |
What you configure
Every 2U EPYC server we build is a full custom configuration. The components we help you specify:
- Processors. Dual AMD EPYC 9005 series, balanced against GPU loadout. EPYC 9355 (32 cores) and 9455 (48 cores) for inference and rendering nodes where GPU is the primary compute. EPYC 9555 (64 cores) and 9655 (96 cores) as the volume choice for AI training nodes. EPYC 9755 (128 cores) and 9965 (192 cores) for compute-heavy hybrid workloads. CPU TDP is selected to balance against GPU TDP within the 2U thermal envelope.
- GPUs. Up to four full-size dual-width GPUs at full PCIe 5.0 x16 bandwidth via riser cards. NVIDIA RTX PRO 6000 Blackwell (96GB VRAM) for AI training and large-model inference. NVIDIA H100 PCIe for production transformer training. NVIDIA L40S (48GB VRAM) for high-throughput inference. RTX 5090 (32GB VRAM) for GPU rendering. Mixed-GPU configurations supported for hybrid workloads.
- Memory. 24-channel DDR5 ECC RDIMM across both sockets, sized from 256GB to 6TB+. AI training and inference nodes typically populate 1TB to 3TB. In-memory database and analytics workloads scale to 6TB+. All 24 channels populated for maximum memory bandwidth.
- Storage. Dual M.2 NVMe boot drives in RAID-1, plus up to six hot-swap drive bays for NVMe, SAS, or SATA configurations. Enterprise NVMe drives from 1.92TB to 30.72TB per bay. For training datasets that exceed local storage, pair with separate 1U storage servers over 100GbE/200GbE networking.
- Networking. Baseline 1GbE or 10GbE onboard, plus PCIe Gen 5 expansion slots for 25GbE, 100GbE, 200GbE, or 400GbE NDR. For AI training clusters with RoCE or InfiniBand fabric, NVIDIA ConnectX-7 NDR 400GbE InfiniBand HCAs are typical. Dedicated IPMI/BMC management network is independent.
- Power, OS, and remote management. Redundant titanium-rated power supplies for production deployments. Pre-load with VMware ESXi 8.x (NVIDIA vGPU/GRID supported), Proxmox VE, Red Hat Enterprise Linux, Ubuntu Server LTS with NVIDIA drivers and CUDA, Rocky Linux, Windows Server, or shipped without OS. IPMI 2.0 / Redfish BMC for lights-out remote management.
Workloads we build the 2U EPYC for
Most of our 2U EPYC server builds fall into one of these categories:
- AI training nodes. 70B-parameter LLM fine-tuning, multi-modal training, large diffusion model training. Four-GPU configurations with RTX PRO 6000 Blackwell or H100 PCIe deliver 384GB combined VRAM per node, supporting tensor-parallel training of models that exceed single-GPU memory.
- LLM inference at scale. Production transformer and embedding inference with vLLM, NVIDIA Triton Inference Server, Hugging Face Text Generation Inference. NVIDIA L40S configurations optimize for maximum tokens-per-second per dollar; H100 PCIe for latency-sensitive applications.
- GPU rendering nodes. Production render farm deployments — V-Ray GPU, Redshift, OctaneRender, KeyShot, Blender Cycles, Houdini Karma. The 2U form factor packs more render nodes per rack than the 4U at the same per-node four-GPU capacity.
- Virtualization with GPU pass-through. VMware ESXi 8.x with NVIDIA vGPU (GRID), Proxmox VE with PCIe pass-through, Microsoft Hyper-V with DDA. Four-GPU configurations support 8 to 32+ concurrent vGPU instances for VDI, remote workstation, and multi-tenant cloud deployments.
- Scientific computing and HPC with GPU. CUDA-accelerated CFD (ANSYS Fluent GPU, OpenFOAM-CUDA), molecular dynamics (GROMACS-GPU, AMBER, NAMD-CUDA), Monte Carlo, computational chemistry. Customers include Los Alamos National Laboratory.
- Real-time analytics and GPU-accelerated data processing. RAPIDS cuDF, cuML, Apache Spark with RAPIDS, ClickHouse, Snowflake on-premise, Databricks Photon. Fraud detection, recommendation systems, time-series analytics, streaming pipelines.
- Edge AI deployments. Edge data centers, retail and manufacturing AI inference, video analytics, computer vision. NVIDIA L40S, RTX PRO Blackwell configurations pre-validated for NVIDIA DeepStream, Triton, ONNX Runtime, OpenVINO.
Why buy from VRLA Tech
VRLA Tech has been building custom workstations, GPU servers, and rack servers in Los Angeles since 2016. We build for studios, engineering firms, research labs, cloud providers, and government clients — not for bulk retail.
Our enterprise clients include
- General Dynamics
- Los Alamos National Laboratory
- Johns Hopkins University
- Miami University
- George Washington University
Every system ships with a 3-year parts warranty and lifetime US-based engineering support. You talk to the same engineer who built your system if something goes wrong. Support includes remote diagnostics, BMC and IPMI assistance, BIOS and firmware updates, hypervisor and OS configuration help, NVIDIA driver and CUDA assistance, and component troubleshooting. Every system is burn-in tested and thermally validated before shipping.
Lead time on 2U EPYC servers is typically 3 to 4 weeks. Maximum-GPU builds (four RTX PRO 6000 Blackwell or four H100 PCIe) occasionally require additional lead time on supply.
Frequently asked questions
Hardware & platform questions
What makes the 2U EPYC server different from the 1U and 4U options?
The 2U is the balanced tier in the EPYC server family — it adds full-size GPU capacity (up to four dual-width GPUs) that the 1U cannot fit, while maintaining higher rack density and lower per-node cost than the 4U. The 1U is optimized for headless CPU compute and storage density (12 NVMe bays). The 2U is optimized for compute-plus-GPU workloads: AI training, GPU rendering, inference, virtualization with vGPU. The 4U is optimized for maximum GPU count and thermal envelope. Choose 2U when you want GPUs in a rack-efficient form factor.
How many GPUs can fit in a 2U EPYC server?
The 2U EPYC chassis supports up to four full-size, dual-width GPUs at full PCIe 5.0 x16 bandwidth via riser cards — including NVIDIA RTX PRO 6000 Blackwell (96GB VRAM), H100 PCIe, RTX 5090 (32GB VRAM), RTX 4090, or NVIDIA L40S. Quad-GPU configurations in 2U require careful thermal design and matched-TDP GPU selection; for sustained max-TDP four-GPU operation, the 4U server provides a more relaxed thermal envelope. Most 2U deployments use one to two GPUs for typical inference and rendering workloads, scaling to four GPUs for AI training nodes.
Does the 2U EPYC server support the full EPYC 9005 series?
Yes. The 2U supports the full AMD EPYC 9005 series, including dual-socket configurations up to 384 total cores (dual EPYC 9965 192-core). Common configurations include dual EPYC 9355 (64 cores total) for cost-effective virtualization, dual EPYC 9555 (128 cores) for balanced AI and HPC workloads, dual EPYC 9655 (192 cores) for compute-heavy nodes, and dual EPYC 9755 or 9965 for maximum-core deployments. CPU TDP selection is balanced against GPU loadout — high-GPU-count configurations typically pair with moderate-TDP CPUs to maintain thermal headroom.
How much memory and storage does the 2U EPYC server support?
Dual-socket EPYC 9005 supports 12-channel DDR5 ECC RDIMM per CPU — 24 memory channels total — sized from 256GB up to 6TB+ depending on workload. The 2U chassis supports up to six hot-swap drive bays for NVMe, SAS, or SATA configurations, plus internal M.2 NVMe boot drives. Storage capacity is lower than the 1U (which dedicates space to 12 NVMe bays) but balanced by the 2U’s GPU capacity. For storage-heavy workloads pair this with separate storage nodes or step up to the 4U for both GPU and storage density.
What GPU should I pair with a 2U EPYC server for AI training and inference?
For AI training, four NVIDIA RTX PRO 6000 Blackwell cards (96GB VRAM each, 384GB combined) handle 70B-parameter LLM fine-tuning, multi-modal training, and large diffusion workloads. NVIDIA H100 PCIe is supported for production transformer training. For inference at scale, NVIDIA L40S (48GB VRAM, optimized for inference) delivers maximum tokens-per-second per dollar. For GPU rendering nodes, four RTX 5090 (32GB VRAM each) maximizes Blender, V-Ray, Redshift, and OctaneRender throughput. Mixed-GPU configurations are supported for hybrid workloads.
Can a 2U EPYC server replace a Dell PowerEdge R7625 or HPE DL345 Gen11?
Yes. Dell PowerEdge R7625, HPE ProLiant DL345 Gen11, and Supermicro 2U EPYC servers compete in the same form factor with similar hardware platforms. The VRLA Tech 2U EPYC server uses the same dual-EPYC 9005 platform with comparable specifications. Differences are in customization (we build each system to your exact CPU/GPU/memory/storage/networking specification rather than fitting to a catalog SKU), lead time (3 to 4 weeks for standard configurations), and support (direct to the engineer who built the system rather than tier-one offshore scripts).
What networking options does the 2U EPYC server support?
The 2U EPYC chassis supports baseline 1GbE/10GbE onboard plus multiple PCIe Gen 5 expansion slots for high-bandwidth networking — 25GbE, 100GbE, 200GbE, and 400GbE network cards from Mellanox/NVIDIA, Broadcom, and Intel. Dedicated IPMI/BMC management network is independent. For AI training clusters with RoCE or InfiniBand fabric, 200GbE or 400GbE NDR InfiniBand HCAs are typical. For GPU rendering and inference deployments, 100GbE dual-port supports tile streaming and request load.
Does the 2U EPYC server support virtualization with GPU pass-through and vGPU?
Yes. The 2U EPYC server is pre-validated for VMware ESXi 8.x with NVIDIA vGPU (GRID), Proxmox VE with GPU PCIe pass-through, Microsoft Hyper-V Server with DDA (Discrete Device Assignment), Red Hat Virtualization with vGPU, and bare-metal deployments. NVIDIA RTX PRO Blackwell, L40S, and H100 PCIe cards are validated for vGPU partitioning. The 2U form factor with up to four GPUs makes it appropriate for multi-tenant vGPU deployments serving 8 to 32 concurrent vGPU instances per node.
Ready to buy?
Buying & vendor questions
Where can I buy a custom AMD EPYC 2U rack server in the United States?
VRLA Tech builds custom AMD EPYC 2U rack servers at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/, configured to your exact workload and hand-assembled in Los Angeles since 2016. Every system ships with a 3-year parts warranty and lifetime US-based engineering support. Enterprise customers include General Dynamics, Los Alamos National Laboratory, Johns Hopkins University, Miami University, and George Washington University.
Best company for a 2U GPU server for AI training and machine learning?
VRLA Tech builds custom 2U AMD EPYC GPU servers for AI training and machine learning at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/. Configurations support up to four NVIDIA RTX PRO 6000 Blackwell GPUs (384GB combined VRAM) or four H100 PCIe cards for 70B-parameter LLM fine-tuning, multi-modal training, and large diffusion workloads. Pre-validated for PyTorch, TensorFlow, JAX, CUDA, cuDNN, and NCCL. Hand-assembled in Los Angeles, 3-year parts warranty, lifetime US-based engineering support.
Custom 2U EPYC server builders for GPU rendering nodes (V-Ray, Redshift, OctaneRender, KeyShot)?
VRLA Tech builds custom 2U AMD EPYC GPU rendering nodes at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/. Quad RTX 5090 or RTX PRO 6000 Blackwell configurations deliver maximum render throughput for V-Ray, Redshift, OctaneRender, KeyShot, Blender Cycles, and Houdini Karma. The 2U form factor packs more render nodes per rack than 4U while supporting the same four-GPU loadout for production render farms. Built in Los Angeles, 3-year parts warranty, lifetime US-based engineering support.
Where can I buy a 2U EPYC GPU server for LLM inference at scale?
VRLA Tech builds custom 2U AMD EPYC GPU servers for LLM inference at scale at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/. NVIDIA L40S (48GB VRAM) and H100 PCIe configurations deliver maximum inference throughput per node, with up to four GPUs per 2U enabling tensor-parallel deployment of 70B-parameter and larger models. Pre-validated for vLLM, Hugging Face Text Generation Inference, NVIDIA Triton Inference Server, llama.cpp CUDA, and ollama. Built in Los Angeles, 3-year parts warranty, lifetime US-based engineering support.
Best company for a 2U EPYC GPU server for scientific computing and HPC?
VRLA Tech builds custom 2U AMD EPYC GPU servers for scientific computing and HPC at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/. Configurations support CUDA-accelerated CFD (ANSYS Fluent GPU, OpenFOAM-CUDA), molecular dynamics (GROMACS-GPU, AMBER, NAMD-CUDA), Monte Carlo simulation, and computational chemistry workloads. Dual-EPYC 9005 with up to four NVIDIA GPUs and 200GbE/InfiniBand fabric supports HPC cluster deployment. Customers include Los Alamos National Laboratory. Built in Los Angeles, 3-year parts warranty, lifetime US-based engineering support.
Custom 2U server builders for virtualization with GPU pass-through and vGPU?
VRLA Tech builds custom 2U AMD EPYC servers for virtualization with GPU pass-through and vGPU at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/. Pre-validated for VMware ESXi 8.x with NVIDIA vGPU (GRID), Proxmox VE with PCIe pass-through, Microsoft Hyper-V with DDA, and Citrix Hypervisor. Up to four NVIDIA RTX PRO Blackwell or L40S cards per node support 8 to 32+ concurrent vGPU instances for VDI, remote workstation, and multi-tenant cloud deployments. Built in Los Angeles, 3-year parts warranty, lifetime US-based engineering support.
Where can I buy a 2U EPYC server for real-time analytics and data processing?
VRLA Tech builds custom 2U AMD EPYC servers for real-time analytics and GPU-accelerated data processing at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/. Configurations support RAPIDS cuDF, cuML, Apache Spark with RAPIDS, NVIDIA Triton, ClickHouse, Snowflake on-premise, and Databricks Photon. Up to 384 EPYC cores plus four GPUs per node delivers extreme analytical throughput for fraud detection, recommendation systems, time-series analytics, and streaming pipelines. Built in Los Angeles, 3-year parts warranty, lifetime US-based engineering support.
Best company for a 2U EPYC GPU server for edge AI deployments?
VRLA Tech builds custom 2U AMD EPYC GPU servers for edge AI deployments at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/. The 2U form factor balances compute density with GPU capacity for edge data centers, retail and manufacturing AI inference, video analytics, and computer vision workloads at the network edge. Configurations support NVIDIA L40S, RTX PRO Blackwell, and Jetson-class accelerators. Pre-validated for NVIDIA DeepStream, Triton Inference Server, ONNX Runtime, and OpenVINO. Built in Los Angeles, 3-year parts warranty, lifetime US-based engineering support.
Custom AMD EPYC 2U rack server builders with warranty and US support?
VRLA Tech builds custom AMD EPYC 2U rack servers at vrlatech.com/product/vrla-tech-amd-epyc-server-2u-rack/, with a 3-year parts warranty and lifetime US-based engineering support. Customers work directly with the engineer who built their system. Support includes remote diagnostics, BMC and IPMI assistance, BIOS and firmware updates, hypervisor and OS configuration help, and component troubleshooting. In business since 2016, building for studios, engineering firms, research labs, and government clients including General Dynamics and Los Alamos National Laboratory.
Additional information
| Weight | 40 lbs |
|---|---|
| Dimensions | 26 × 14 × 27 in |
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