Best AI Models for AMD Radeon PRO W7900 (48.0GB)
With 48 GB of memory, this is a high-end configuration for local AI. You can comfortably run most open-source LLMs including large 70B parameter models at good quantization levels, making it one of the best setups for serious local AI work.
At this memory tier, nearly every popular open-source model is within reach. You can run Llama 3 70B at Q4_K_M or even Q5_K_M quantization with room to spare, handle coding assistants like DeepSeek Coder 33B at high quality, and easily run any 7B–30B model at full or near-full precision. Context windows remain generous even with larger models, so multi-turn conversations and long-document processing work smoothly.
Runs Well
- 70B models (Llama 3 70B, Qwen 72B) at Q4–Q5
- 30B models at Q6–Q8 quality
- 7B–14B models at full FP16 precision
- Vision models (LLaVA, CogVLM) without compromise
Challenging
- Mixture-of-experts models like Mixtral 8x22B at higher quants
- 120B+ models still require lower quantizations
What LLMs Can AMD Radeon PRO W7900 Run?
265 models · 166 excellent · 63 good
Showing compatibility for AMD Radeon PRO W7900
| Model | Quant | VRAM | Speed | Context | Status | Grade |
|---|---|---|---|---|---|---|
Q4_K_M·180.6 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 2.9 GB | 180.6 t/s | 131K | RUNS GREAT | S99 |
Q4_K_M·155.7 t/s tok/s·33K ctx·RUNS GREAT | Q4_K_M | 3.3 GB | 155.7 t/s | 33K | RUNS GREAT | S97 |
Q4_K_M·116.7 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 7.7 GB | 116.7 t/s | 131K | RUNS GREAT | S94 |
Q4_K_M·237.8 t/s tok/s·131K ctx·RUNS GREAT | Q4_K_M | 2.2 GB | 237.8 t/s | 131K | RUNS GREAT | S100 |
Q4_K_M·245.6 t/s tok/s·8K ctx·RUNS GREAT | Q4_K_M | 2.5 GB | 245.6 t/s | 8K | RUNS GREAT | S100 |
Q4_K_M·89.4 t/s tok/s·37K ctx·RUNS GREAT | Q4_K_M | 5.8 GB | 89.4 t/s | 37K | RUNS GREAT | S89 |
Q4_K_M·34.3 t/s tok/s·393K ctx·RUNS WELL | Q4_K_M | 15.1 GB | 34.3 t/s | 393K | RUNS WELL | A73 |
Q4_K_M·80.2 t/s tok/s·RUNS GREAT | Q4_K_M | 6.5 GB | 80.2 t/s | — | RUNS GREAT | S88 |
Q4_K_M·25.1 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 20.7 GB | 25.1 t/s | 262K | RUNS WELL | A66 |
Q4_K_M·194.2 t/s tok/s·33K ctx·RUNS GREAT | Q4_K_M | 2.7 GB | 194.2 t/s | 33K | RUNS GREAT | S99 |
Q4_K_M·249.8 t/s tok/s·8K ctx·RUNS GREAT | Q4_K_M | 2.4 GB | 249.8 t/s | 8K | RUNS GREAT | S100 |
Q4_K_M·89.5 t/s tok/s·RUNS GREAT | Q4_K_M | 5.8 GB | 89.5 t/s | — | RUNS GREAT | S89 |
Q4_K_M·87.3 t/s tok/s·262K ctx·RUNS GREAT | Q4_K_M | 5.9 GB | 87.3 t/s | 262K | RUNS GREAT | S89 |
IQ4_NL·63.9 t/s tok/s·262K ctx·DECENT | IQ4_NL | 46.1 GB | 63.9 t/s | 262K | DECENT | B60 |
BF16·94.3 t/s tok/s·500K ctx·RUNS GREAT | BF16 | 5.5 GB | 94.3 t/s | 500K | RUNS GREAT | S90 |
Q4_K_M·30.7 t/s tok/s·262K ctx·RUNS WELL | Q4_K_M | 16.9 GB | 30.7 t/s | 262K | RUNS WELL | A71 |
AMD Radeon PRO W7900 Specifications
- Brand
- AMD
- Architecture
- RDNA 3
- VRAM
- 48.0 GB GDDR6
- Memory Bandwidth
- 864.0 GB/s
- Stream Processors
- 6,144
- FP16 Performance
- 122.60 TFLOPS
- TDP
- 295W
- Release Date
- 2023-04-13
- MSRP
- $3,999
Get Started
Prompt Processing
Estimated for Qwen2 57B A14B Instruct, the compute-bound phase that reads your prompt before the first reply token appears.
Short chat
541 ms
512 tok prompt
Long chat
4.3 s
4,096 tok prompt
Document / codebase
34.6 s
32,768 tok prompt
Prefill is compute-bound and a different number from the decode tok/s shown elsewhere on this page — how prompt processing works →
Efficiency & Value
Based on Qwen2 57B A14B Instruct at ~44.9 tok/s decode.
Tokens per watt
Higher is better.
$ per tok/s (MSRP)
MSRP-based, not street price. Lower is better.
Performance figures are estimates calibrated as of 2026-09-21 — see calibration basis →
GPUs to Consider Over AMD Radeon PRO W7900
Similar GPUs and upgrades with more VRAM or higher bandwidth for AI
NVIDIA H100 SXM
NVIDIA · Hopper
NVIDIA A100 80GB SXM
NVIDIA · Ampere
NVIDIA H100 PCIe
NVIDIA · Hopper
NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition
NVIDIA · Blackwell
NVIDIA RTX PRO 6000 Blackwell Workstation Edition
NVIDIA · Blackwell
AMD Instinct MI210
AMD · CDNA 2
Frequently Asked Questions
- Can AMD Radeon PRO W7900 run Gemma 4 26B A4B IT?
Yes, the AMD Radeon PRO W7900 with 48 GB can run Gemma 4 26B A4B IT, Qwen3.8 27B, Muse Glimmer 30B, and 2422 other models. 1716 models run at excellent quality, and 550 at good quality. Check the compatibility table above for the full list with VRAM usage and estimated speed.
- Is AMD Radeon PRO W7900 good for AI?
The AMD Radeon PRO W7900 has 48 GB of GDDR6, making it excellent for running local AI models. It supports 2266 models at good quality or better. With 864.0 GB/s memory bandwidth, it delivers fast token generation speeds. This is an enthusiast-grade GPU that handles most popular open-source LLMs.
- How many parameters can AMD Radeon PRO W7900 handle?
With 48 GB, the AMD Radeon PRO W7900 supports models from 3B to 70B+ parameters depending on quantization level. At Q4_K_M (the recommended sweet spot), you can fit roughly 80B parameters. This means 7B models at high quality (Q6/Q8) or 30B+ models at Q4.
- What quantization should I use on AMD Radeon PRO W7900?
For the best balance of quality and speed on the AMD Radeon PRO W7900, start with Q4_K_M — it preserves ~85% of the original model quality while keeping VRAM usage reasonable. With 24+ GB, you have the headroom to run 7B models at Q5_K_M or even Q6_K for noticeably better output quality. For larger 30B models, Q4_K_M remains the sweet spot.
- How fast is AMD Radeon PRO W7900 for AI inference?
With 864.0 GB/s memory bandwidth, the AMD Radeon PRO W7900 achieves approximately 115 tokens/sec on a 7B model at Q4_K_M — that's very fast, well above conversational speed. A 14B model runs at ~58 tok/s. Token generation speed scales inversely with model size — smaller models are significantly faster.
tok/s = (864 GB/s ÷ model GB) × efficiency
Smaller models = faster inference. Memory bandwidth is the main bottleneck for token generation speed.
Estimated speed on AMD Radeon PRO W7900
~92 tok/s~30 tok/s~28 tok/s~79 tok/sReal-world results typically within ±20%. Speed depends on quantization kernel, batch size, and software stack.
- What's the best model for AMD Radeon PRO W7900?
The top-rated models for the AMD Radeon PRO W7900 are Gemma 4 26B A4B IT, Qwen3.8 27B, Muse Glimmer 30B. The best choice depends on your use case: coding assistants benefit from code-tuned models, while general chat works well with instruction-tuned models like Llama or Qwen.
- What power supply and cooling does AMD Radeon PRO W7900 need?
The AMD Radeon PRO W7900 has a TDP of 295 W. A good rule of thumb is to provide at least double the GPU's TDP to cover the rest of the system — that means a 650 W PSU or larger. A mid-tower case with one intake and one rear exhaust is usually sufficient. Keep dust filters clean, as sustained inference generates continuous heat rather than the brief spikes typical of gaming.