Falcon 3 10B Instruct at FP16 needs 20.0 GB for its weights and 30.7 GB in total at 8K context with 8 concurrent users. That means it fits on a single H200 SXM5 141GB. Every figure is computed by tokcalc's open-source capacity model.
| GPUs | Total VRAM | VRAM needed | Decode tok/s | Aggregate tok/s | TTFT | Cost / 1M tok | Fits? |
|---|---|---|---|---|---|---|---|
| 1× H200 | 141 GB | 30.7 GB | 156.0 | 1872 | 367.4 ms | $0.5935 | ✓ |
| 2× H200 | 282 GB | 30.7 GB | 265.2 | 6365 | 199.3 ms | $0.3491 | ✓ |
| 4× H200 | 564 GB | 30.7 GB | 530.4 | 25459 | 114.6 ms | $0.1746 | ✓ |
| 8× H200 | 1128 GB | 30.7 GB | 1061 | 101837 | 72.3 ms | $0.0873 | ✓ |
| Context | Concurrent users | KV per request | Fits? |
|---|---|---|---|
| 4K | 180 | 687.2 MB | ✓ fits |
| 8K | 90 | 1.34 GB | ✓ fits |
| 33K | 22 | 5.37 GB | ✓ fits |
| 66K | 11 | 10.74 GB | ✓ fits |
| 131K | 5 | 21.47 GB | ✓ fits |
| GPU | GPUs | Aggregate tok/s | Cost / 1M tok |
|---|---|---|---|
| RTX 5090 32GB | 1× | 698.9 | $0.1987 |
| AMD MI300X 192GB | 1× | 2067 | $0.3360 |
| V100 SXM2 32GB | 1× | 351.0 | $0.3957 |
| A100 40GB SXM4 | 1× | 604.5 | $0.4136 |
| AMD MI325X 288GB | 1× | 2340 | $0.4155 |
| A100 80GB SXM4 | 1× | 780.0 | $0.4274 |
Yes. Falcon 3 10B Instruct at FP16 needs 30.7 GB including the KV cache, and H200 SXM5 141GB has 141 GB — so it fits on a single GPU.
156.0 tokens/sec per stream and 1872 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 367.4 ms, and inter-token latency is 6.4 ms.
$0.5935 per 1M output tokens at 1× H200 SXM5 141GB ($4.00/hr). That is the marginal hardware cost — add idle capacity, ops, and egress for the real figure.
20.0 GB for the weights at FP16, plus 10.7 GB of KV cache for 8 concurrent requests at 8K context — 30.7 GB total. Every extra concurrent user at long context costs more, so leave headroom.
It works. Compare $0.5935 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 4× RTX 3080 10GB at $0.0551, and the fastest is 1× Cerebras CS-3 (WSE-3) at 7800 tok/s.
Same formulas, your context length, concurrency, and quantisation.