Dell PowerEdge servers are widely used in enterprise environments, and many organizations are looking to add compatible NVIDIA GPUs to improve performance. Whether you're considering purchasing a complete Dell PowerEdge server with NVIDIA GPUs or upgrading your existing setup, knowing which GPUs are compatible can be challenging.
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In this article, we'll guide you through the best NVIDIA GPU options for your Dell PowerEdge servers.
Dell PowerEdge 14th Gen (PCIe Gen3) GPU Servers
Dell PowerEdge R640 (1U) GPU Server
Supports: Up to 3x NVIDIA T4 or L4 (75W, low-profile)
No support for double-width GPUs
Use case: VDI, AI inference, virtualized graphics
Notes: Requires GPU enablement kit (better fans + riser). No external GPU
power cables needed.
Dell PowerEdge R740 / R740xd (2U) GPU Server
Supports:
Up to 3x double-width GPUs (e.g. V100, A100 PCIe, A40)
Or up to 6x single-width GPUs (e.g. T4, A2, L4)
Use case: AI training, inference, VDI, rendering, data analytics
Notes: Needs high-performance fans and GPU power cables. Watch out for thermal limitations when fully populating drives + GPUs. PCIe Gen3 may limit
newer GPU performance.
Dell PowerEdge R940xa (4U, 4-socket) GPU Server
Supports: Up to 4x double-width GPUs
Use case: Multi-GPU AI training, HPC, heavy data analytics
Notes: Designed for GPUs, unlike standard R940. Allows for NVLink bridges (2+2). Great if you want max GPU performance on 14G platform.
Dell PowerEdge 15th Gen (PCIe Gen4) GPU Servers
Dell PowerEdge R650 (1U) GPU Server
Supports: Up to 3x NVIDIA T4, A2, or L4 (75W)
No support for double-width or >75W cards
Use case: Compact inference server, edge compute, VDI
Notes: Requires GPU kit (high-speed fans, special heatsinks). Some CPU/memory restrictions apply when GPUs are installed.
Dell PowerEdge R750 (2U) GPU Server
Supports:
Up to 2x double-width GPUs (e.g. A100, A40, L40, H100)
Or up to 8x single-width GPUs (e.g. T4, L4)
Use case: Balanced AI/VDI/rendering node. Training, inference, virtual workstations.
Notes: Gen4 PCIe enables full performance for Ampere cards. Needs proper power sizing (1600W+ PSUs recommended).
Dell PowerEdge R750xa (2U, GPU-optimized) GPU Server
Supports:
Up to 4x double-width GPUs
Or up to 12x single-width GPUs
Use case: AI training, heavy inference, multi-GPU VDI
Notes: Designed for max GPU density. Supports NVLink. Ideal for GPU clusters.
Dell PowerEdge XE8545 (4U, AI-Optimized Platform) GPU Server
Supports:
Up to 4x NVIDIA A100 or H100 GPUs with NVLink (SXM4 or SXM5)
Use case: High-end AI training, large language models (LLMs), deep learning, HPC
Notes: Purpose-built for AI workloads. Integrated NVLink offers massive bandwidth. Comes with liquid or advanced air cooling. Usually sold preconfigured. Supports AMD EPYC CPUs.
Dell PowerEdge 16th Gen (PCIe Gen5) GPU Servers
Dell PowerEdge R660 (1U) GPU Server
Supports: 2-3x L4 or T4 (75W)
No support for double-width GPUs
Use case: Compact inference server with modern Ada GPUs
Notes: Gen5 slots, but cards like L4 run at Gen4. Requires high-speed fans and attention to cooling.
Dell PowerEdge R760 (2U) GPU Server
Supports:
Up to 2x double-width GPUs (up to 350W, e.g. H100)
Up to 6x single-width GPUs
Use case: AI training/inference, VDI, rendering, balanced workloads
Notes: Supports 16-pin power connectors (12VHPWR) for H100/L40. Very flexible general-purpose GPU server.
Dell PowerEdge R760xa (2U, GPU-optimized) GPU Server
Supports:
Up to 4x double-width GPUs (including H100, L40)
Or up to 12x single-width GPUs (e.g. L4)
Use case: Dense AI/ML workloads, large VDI deployment, high-end rendering
Notes: Best 2U server for heavy GPU use. Optimized for airflow and power. PCIe Gen5 slots. NVLink supported.
Conclusion - Dell PowerEdge GPU Servers
If you're considering adding NVIDIA GPUs to your Dell PowerEdge servers, the most important things to consider are:
Does your server physically fit the GPU?
Can it provide enough power and cooling?
Will PCIe Gen3/Gen4/Gen5 impact performance?
If you're working with refurbished gear, older models like the R740 or R940xa can still deliver excellent performance with V100 or T4 GPUs, especially for inference and VDI. For newer AI workloads, look at the R750xa, R760xa, or XE8545 with Ampere or Hopper GPUs.
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NVIDIA GPUs and GPU Servers: Save Up to 80%
✔️ No Upfront Payment Required - Test First, Pay Later!