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AMD Radeon PRO W7800

AMD · Radeon PRO

AMD Radeon PRO W7800

$2300$2499 MSRP

The AMD Radeon PRO W7800 provides 32GB of GDDR6 ECC memory for professional workstation use. Like its larger sibling, it offers strong value compared to NVIDIA equivalents but is limited by ROCm's narrower software support for AI. A good choice for OpenCL-based rendering, CAD, and visualization workloads. For AI, verify framework compatibility before committing.

Best For32GB professional visualization and CAD workloads
VerdictGood value for professional graphics work — limited for AI unless your stack supports ROCm.
AI
5/10
Gaming
3/10

Specifications

VRAM32GB GDDR6 ECC
Memory Bandwidth576 GB/s
Stream Processors3,840
Boost Clock2430 MHz
TDP260W
Power Connector2x 8-pin
Length267mm
Form FactorDual Slot
Release Year2023

AI Capabilities

Unrivaled32GB VRAM

Run 70B+ models, no compromises. The AI power user's dream.

No CUDA — most AI frameworks run best on NVIDIA. ROCm support is improving but not all models/tools work.

Can run (Q4 quantized)

Llama 3.1 8BQwen 2.5 32BQwen 2.5 14BMistral 7BFLUX.1 DevStable Diffusion XLStable Diffusion 3.5 LargeHunyuanVideoCogVideoX-5BMochi 1LTX VideoStable Video DiffusionWan Video 14BCodestral 22BQwen 2.5 Coder 32BLLaVA 1.6 34BAlphaFold 2ESMFold (ESM-2 15B)ESM-2 3BscGPTRFdiffusionFine-tune Llama 8BTrain SDXL LoRATrain FLUX LoRA

Tight fit (may need CPU offload)

Llama 3.1 70B (40GB Q4)Qwen 2.5 72B (42GB Q4)DeepSeek R1 70B (40GB Q4)Fine-tune Llama 70B (40GB Q4)

Recommended system RAM for AI: 64GB+ (2x GPU VRAM for model overflow)

Performance Estimates

Estimated tokens/sec for LLM inference based on 576 GB/s memory bandwidth — not hardware benchmarks. Methodology · What is Q4/Q8?

Llama 3.1 70B70B
Offload~1-3 tok/sVery slow
Llama 3.1 8B8B
FP16~14-17 tok/sSlow
Qwen 2.5 72B72B
Offload~1-3 tok/sVery slow
Qwen 2.5 32B32B
Q8~7-9 tok/sSlow
Qwen 2.5 14B14B
FP16~8-10 tok/sSlow
Mistral 7B7B
FP16~16-19 tok/sUsable
DeepSeek R1 70B70B
Offload~1-3 tok/sVery slow
Codestral 22B22B
Q8~11-13 tok/sSlow
Qwen 2.5 Coder 32B32B
Q8~7-9 tok/sSlow

Pros

  • +32GB ECC VRAM
  • +Lower cost than NVIDIA equivalent
  • +Good OpenCL performance

Cons

  • -No CUDA
  • -Weaker AI ecosystem
  • -Limited to ROCm-supported models
aiworkstation

Where to Buy

Newegg→

Will It Run?

Llama 3.1 70B70B
Offload
Llama 3.1 8B8B
FP16
Qwen 2.5 72B72B
Offload
Qwen 2.5 32B32B
Q8
Qwen 2.5 14B14B
FP16
Mistral 7B7B
FP16
DeepSeek R1 70B70B
Offload
FLUX.1 Dev12B
FP16
Compare with Other GPUsBuild a PC with This GPUQuantization Guide