Best AI Models for AMD Radeon PRO W7800 (32.0GB)
32 GB positions this hardware in the professional tier for local AI. Most popular open-source models run comfortably, and even large 70B parameter models are accessible at lower quantization levels.
This memory amount is a sweet spot for enthusiasts and professionals. You can run 13B–30B models like DeepSeek R1 Distill at Q5 or Q6 quality with smooth token generation, and 7B models at near-lossless precision. The 70B class of models (Llama 3 70B, Qwen 72B) becomes possible at Q2–Q3 quantization, though with some quality trade-off. For day-to-day use with coding assistants, chat models, and reasoning tasks, this tier delivers an excellent experience.
Runs Well
- 7B–13B models at Q6–Q8 quality
- 14B–30B models at Q4–Q5 quality
- Small models (3B–7B) at FP16 precision
- Vision-language models at good quality
Challenging
- 70B models only at Q2–Q3 (noticeable quality loss)
- Large context windows with 30B+ models
What LLMs Can AMD Radeon PRO W7800 Run?
Showing compatibility for AMD Radeon PRO W7800
| Model | Quant | VRAM | Speed | Context | Status | Grade |
|---|---|---|---|---|---|---|
| Q4_K_M | 5.4 GB17% | 59.0 t/s | 131K | EASY RUN | C34 | |
| Q4_K_M | 5.4 GB17% | 58.8 t/s | 131K | EASY RUN | C34 | |
| Q8_0 | 4.9 GB15% | 64.5 t/s | 4K | EASY RUN | C33 | |
| Q4_K_M | 6.1 GB19% | 51.9 t/s | 8K | EASY RUN | C35 | |
| Q4_K_M | 2.9 GB9% | 109.6 t/s | 41K | EASY RUN | C30 | |
| Q4_K_M | 5.0 GB16% | 63.5 t/s | 131K | EASY RUN | C33 | |
| Q4_K_M | 2.0 GB6% | 160.0 t/s | 131K | EASY RUN | D28 | |
| Q4_K_M | 2.6 GB8% | 120.0 t/s | 2K | EASY RUN | D29 |
AMD Radeon PRO W7800 Specifications
- Brand
- AMD
- Architecture
- RDNA 3
- VRAM
- 32.0 GB GDDR6
- Memory Bandwidth
- 576.0 GB/s
- Stream Processors
- 4,480
- FP16 Performance
- 90.50 TFLOPS
- TDP
- 260W
- Release Date
- 2023-04-13
- MSRP
- $2,499
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Frequently Asked Questions
- Can AMD Radeon PRO W7800 run Llama 3 8B?
Yes, the AMD Radeon PRO W7800 with 32 GB can run Llama 3 8B at Q4_K_M quantization with good performance. At this VRAM level, you can expect smooth token generation and responsive inference for chat and coding tasks.
- Is AMD Radeon PRO W7800 good for AI?
The AMD Radeon PRO W7800 has 32 GB of GDDR6, making it excellent for running local LLM models. You can run most popular 7B-30B models at good quality.
- How many parameters can AMD Radeon PRO W7800 handle?
With 32 GB, the AMD Radeon PRO W7800 can handle models up to approximately 30-70B parameters depending on quantization. Using Q4_K_M quantization (the typical sweet spot), you can fit roughly 53B parameters.
- What quantization should I use on AMD Radeon PRO W7800?
For the best balance of quality and speed on 32 GB, Q4_K_M is the recommended starting point. If you have headroom, try Q5_K_M for better quality. For larger models that barely fit, Q3_K_M or Q2_K can squeeze them in at the cost of some output quality.
- How fast is AMD Radeon PRO W7800 for AI inference?
Speed depends on the model size and quantization. With 576.0 GB/s memory bandwidth, the AMD Radeon PRO W7800 can typically achieve 30-50+ tokens per second on 7B models at Q4_K_M quantization, which is comfortable for interactive chat.