NVIDIA A100 40GBBudget pickB79.3 tok/s decode
~$10,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
45.7 tok/s
TTFT
4237 ms
Safe context
8K
Memory
25.1 GB / 32.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 45.7 tok/s | 6162 ms | 8K |
| Chat | C | Runs well | 45.7 tok/s | 2311 ms | 8K |
| Coding | C | Runs well | 45.7 tok/s | 4237 ms | 8K |
| RAG | C | Tight fit | 45.7 tok/s | 7703 ms | 8K |
| Reasoning | C | Runs well | 45.7 tok/s | 5007 ms | 8K |
How Gemma 2 27B (27B params) fits at each quantization level on RTX PRO 4500 Blackwell 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | D36 |
Q3_K_S | 3 | 13.2 GB | Low | D38 |
NVFP4 | 4 | 15.1 GB | Medium | D39 |
Q4_K_M | 4 | 16.5 GB | Medium | C40 |
Q5_K_M | 5 | 19.4 GB | High | C42 |
Q6_KBest for your GPU | 6 | 22.1 GB | High | C44 |
Q8_0 | 8 | 28.9 GB | Very High | C44 |
F16 | 16 | 55.4 GB | Maximum | F0 |
ollama run gemma-2-27bhuggingface-cli download gemma-2-27bUpgrade options
NVIDIA A100 40GBBudget pick~$10,000 MSRP