AMD Instinct MI350X 288GBBudget pick
C136.8 tok/s decode
~$8,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
13.0 tok/s
TTFT
14844 ms
Safe context
36K
Memory
82.5 GB / 184.3 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 13.0 tok/s | 21591 ms | 63K |
| Chat | C | Runs well | 13.0 tok/s | 8097 ms | 19K |
| Coding | C | Runs well | 13.0 tok/s | 14844 ms | 36K |
| RAG | C | Runs well | 13.0 tok/s | 26988 ms | 63K |
| Reasoning | C | Runs well | 13.0 tok/s | 17542 ms | 36K |
How Llama 3.3 70B (70B params) fits at each quantization level on Mac Studio M3 Ultra 256GB (184.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | D33 |
Q3_K_S | 3 | 34.3 GB | Low | D33 |
NVFP4 | 4 | 39.2 GB | Medium | D34 |
Q4_K_M | 4 | 42.7 GB | Medium | D34 |
Q5_K_M | 5 | 50.4 GB | High | D35 |
Q6_K | 6 | 57.4 GB | High | D36 |
Q8_0 | 8 | 74.9 GB | Very High | D38 |
F16Best for your GPU | 16 | 143.5 GB | Maximum | C44 |
ollama run llama-3.3-70bhuggingface-cli download llama-3.3-70bUpgrade options
~$8,000 MSRP
~$15,000 MSRP
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