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 Intel Gaudi 3 128GB. 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× Intel | 128 GB | 30.7 GB | 107.3 | 1287 | 217.9 ms | $0.4317 | ✓ |
| 2× Intel | 256 GB | 30.7 GB | 182.3 | 4376 | 124.8 ms | $0.2539 | ✓ |
| 4× Intel | 512 GB | 30.7 GB | 364.6 | 17503 | 77.4 ms | $0.1270 | ✓ |
| 8× Intel | 1024 GB | 30.7 GB | 729.3 | 70013 | 53.7 ms | $0.0635 | ✓ |
| Context | Concurrent users | KV per request | Fits? |
|---|---|---|---|
| 4K | 160 | 687.2 MB | ✓ fits |
| 8K | 80 | 1.34 GB | ✓ fits |
| 33K | 20 | 5.37 GB | ✓ fits |
| 66K | 10 | 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 Intel Gaudi 3 128GB has 128 GB — so it fits on a single GPU.
107.3 tokens/sec per stream and 1287 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 217.9 ms, and inter-token latency is 9.3 ms.
$0.4317 per 1M output tokens at 1× Intel Gaudi 3 128GB ($2.00/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 $0.4317 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.