AMD Radeon Pro W7900 - 48GB usable

A compelling 48GB workstation alternative for Linux and ROCm users, but not a drop-in CUDA substitute.

Specifications

BrandAMD
ModelRadeon Pro W7900
Usable VRAM48GB
ArchitectureRDNA3
CUDA / Stream Processors6,144
Memory Bandwidth864 GB/s
TDP295W
FP32 TFLOPS61

Current Offers

No fresh used offer today · recently £2802 on eBay

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Buying Guidance

Check support for your exact framework and model runner before buying. The hardware value can be strong, but migration and troubleshooting time belong in the total cost.

Software: ROCm support is materially better on current Linux stacks, yet CUDA-first projects and extensions may still require workarounds or different builds.

Price History

Aug 28£2802

For AI / LLM Use

Best for running 70B+ models on a single GPU. Verify ROCm support for the exact framework and operating system you plan to use.

What Models Can It Run?

  • 70B Q4_K_M, 30B full precision
  • 30B Q6_K, 70B Q2_K
  • 30B Q4_K_M, 14B full precision, 70B Q2 (tight)
  • 14B Q6_K, 30B Q3_K (tight)
  • 14B Q4_K_M, 7B full precision
  • 7B Q6_K, 14B Q3_K (tight)
  • 7B Q4_K_M only

Estimated Performance

Generation: ~65 tokens/sec

Prefill: ~1089 tokens/sec

Recommended Quantisations

  • Q6_K or Q8 for best quality
  • Q4_K_M for larger models
  • Full precision for 30B and below

Pros & Cons

Pros

  • 48GB usable VRAM: handles large models
  • High memory bandwidth for fast generation
  • RDNA3 architecture: supported by current ROCm stacks
  • Workstation card with display outputs and active cooling
  • 48GB ECC-capable workstation memory with high bandwidth
  • Display outputs and a conventional active-cooling form factor

Cons

  • ROCm and CUDA-first framework compatibility should be checked before purchase
  • ROCm and framework compatibility require more verification than CUDA
  • Limited value if your workflow depends on CUDA-only extensions

Community Verdict

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