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 A100 40GB SXM4. 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× A100 | 40 GB | 30.7 GB | 50.38 | 604.5 | 1.10 s | $0.4136 | ✓ |
| 2× A100 | 80 GB | 30.7 GB | 85.64 | 2055 | 566.8 ms | $0.2433 | ✓ |
| 4× A100 | 160 GB | 30.7 GB | 171.3 | 8221 | 298.4 ms | $0.1216 | ✓ |
| 8× A100 | 320 GB | 30.7 GB | 342.6 | 32885 | 164.2 ms | $0.0608 | ✓ |
| Context | Concurrent users | KV per request | Fits? |
|---|---|---|---|
| 4K | 29 | 687.2 MB | ✓ fits |
| 8K | 14 | 1.34 GB | ✓ fits |
| 33K | 3 | 5.37 GB | ✓ fits |
| 66K | 1 | 10.74 GB | ✓ fits |
| 131K | 0 | 21.47 GB | ✗ does not fit |
| 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 |
| AMD MI325X 288GB | 1× | 2340 | $0.4155 |
| A100 80GB SXM4 | 1× | 780.0 | $0.4274 |
| Intel Gaudi 3 128GB | 1× | 1287 | $0.4317 |
Yes. Falcon 3 10B Instruct at FP16 needs 30.7 GB including the KV cache, and A100 40GB SXM4 has 40 GB — so it fits on a single GPU.
50.38 tokens/sec per stream and 604.5 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 1.10 s, and inter-token latency is 19.9 ms.
$0.4136 per 1M output tokens at 1× A100 40GB SXM4 ($0.9000/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 $0.4136 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.