RTX 5090 32GBBudget pickC246 tok/s decode
~$1,999 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
50.5 tok/s
TTFT
3837 ms
Safe context
39K
Memory
9.7 GB / 24.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 50.5 tok/s | 5581 ms | 70K |
| Chat | C | Runs well | 50.5 tok/s | 2093 ms | 21K |
| Coding | C | Runs well | 50.5 tok/s | 3837 ms | 39K |
| RAG | C | Runs well | 50.5 tok/s | 6976 ms | 70K |
| Reasoning | C | Runs well | 50.5 tok/s | 4534 ms | 39K |
How Meta Llama 3.1 8B Instruct (8B params) fits at each quantization level on Intel Arc Pro B60 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D32 |
Q3_K_S | 3 | 3.9 GB | Low | D33 |
NVFP4 | 4 | 4.5 GB | Medium | D34 |
Q4_K_M | 4 | 4.9 GB | Medium | D34 |
Q5_K_M | 5 | 5.8 GB | High | D35 |
Q6_K | 6 | 6.6 GB | High | D35 |
Q8_0 | 8 | 8.6 GB | Very High | D37 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | C44 |
Upgrade options
RTX 5090 32GBBudget pick~$1,999 MSRP
~$2,499 MSRP