Mac Studio M2 Ultra 64GBBudget pick
C95.1 tok/s decode
~$3,999 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
267.7 tok/s
TTFT
723 ms
Safe context
56K
Memory
11.3 GB / 40.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 267.7 tok/s | 1052 ms | 102K |
| Chat | C | Runs well | 267.7 tok/s | 395 ms | 29K |
| Coding | C | Runs well | 267.7 tok/s | 723 ms | 56K |
| RAG | C | Runs well | 267.7 tok/s | 1315 ms | 102K |
| Reasoning | C | Runs well | 267.7 tok/s | 855 ms | 56K |
How Meta Llama 3.1 8B Instruct (8B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D31 |
Q3_K_S | 3 | 3.9 GB | Low | D32 |
NVFP4 | 4 | 4.5 GB | Medium | D32 |
Q4_K_M | 4 | 4.9 GB | Medium | D32 |
Q5_K_M | 5 | 5.8 GB | High | D33 |
Q6_K | 6 | 6.6 GB | High | D33 |
Q8_0 | 8 | 8.6 GB | Very High | D34 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | D38 |
Upgrade options
~$3,999 MSRP
~$3,999 MSRP