Graphics Cards

Enterprise GPU Accelerators for Dell PowerEdge and HPE ProLiant

Enterasource stocks enterprise GPU accelerators and graphics cards for server workloads: NVIDIA Tesla/A-series data center GPUs, AMD Instinct accelerators, and workstation-class GPUs for visualization deployments. Server GPU accelerators are purpose-built for data center use — passive cooling, no display outputs, full-height PCIe form factor, and ECC memory — designed for continuous operation in rack environments.

GPUs in servers serve three distinct roles: AI/ML inference and training (NVIDIA A100, A30, A10), parallel computing and simulation (NVIDIA Tesla T4, V100), and remote workstation visualization (NVIDIA RTX series with GRID vGPU licensing). The correct GPU depends on your specific workload type and the PCIe power and slot availability in your server chassis.

Contact us for current GPU inventory — availability changes frequently based on sourcing.

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Server GPU Selection Guide

GPU Use Case VRAM Form Factor
NVIDIA A100 80GB AI/ML training, HPC 80GB HBM2e SXM4 or PCIe (double-wide)
NVIDIA A30 AI inference, data analytics 24GB HBM2 PCIe (double-wide)
NVIDIA A10 AI inference, vGPU, visualization 24GB GDDR6 PCIe (single-slot)
NVIDIA T4 Inference, VDI, video 16GB GDDR6 PCIe (single-slot, low-profile)
NVIDIA V100 32GB HPC, deep learning training 32GB HBM2 PCIe or SXM2

Server compatibility varies by chassis. The Dell R750xa and R760xa are purpose-built for up to 4 GPU accelerators in 2U. The standard R740, R750, and R760 support 1-2 double-wide GPUs depending on the PCIe riser configuration. Confirm your server’s PCIe riser and power budget before ordering.

Do server GPU accelerators require display outputs?
No. Data center GPU accelerators (NVIDIA A100, A30, A10, T4, V100) have no display outputs — they are compute-only devices accessed via CUDA or ROCm APIs. They are not suitable for desktop graphics. NVIDIA RTX-series cards with GRID licensing provide virtual display outputs for VDI deployments.
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