NVIDIA96 GB VRAM1,792 GB/s$1.5/hr

Falcon 3 10B Instruct on RTX PRO 6000 Blackwell 96GB: Does It Fit, How Fast, What It Costs

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 RTX PRO 6000 Blackwell 96GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
30.7 GB needed / 96 GB available
Decode speed
58.24
tok/s per stream
Aggregate
698.9
tok/s @ 8 concurrent
Cost / 1M tokens
$0.5962
1× RTX PRO 6000 Blackwell 96GB
What changes as you add RTX PRO 6000 Blackwell 96GBs
Tensor-parallel degree vs VRAM, throughput, and cost. Cost scales linearly with GPU count; decode throughput scales near-linearly too, so cost per token stays roughly flat.
GPUsTotal VRAMVRAM neededDecode tok/sAggregate tok/sTTFTCost / 1M tokFits?
1× RTX96 GB30.7 GB58.24698.92.67 s$0.5962✓
2× RTX192 GB30.7 GB99.0123761.35 s$0.3507✓
4× RTX384 GB30.7 GB198.09505690.4 ms$0.1754✓
8× RTX768 GB30.7 GB396.038019360.2 ms$0.0877✓
Concurrency vs context length
On 1× RTX PRO 6000 Blackwell 96GB at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K113687.2 MB✓ fits
8K561.34 GB✓ fits
33K145.37 GB✓ fits
66K710.74 GB✓ fits
131K321.47 GB✓ fits
Other GPUs that run Falcon 3 10B Instruct
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB1×698.9$0.1987
AMD MI300X 192GB1×2067$0.3360
V100 SXM2 32GB1×351.0$0.3957
A100 40GB SXM41×604.5$0.4136
AMD MI325X 288GB1×2340$0.4155
A100 80GB SXM41×780.0$0.4274
Frequently asked questions

Can Falcon 3 10B Instruct run on RTX PRO 6000 Blackwell 96GB?

Yes. Falcon 3 10B Instruct at FP16 needs 30.7 GB including the KV cache, and RTX PRO 6000 Blackwell 96GB has 96 GB — so it fits on a single GPU.

How fast is Falcon 3 10B Instruct on RTX PRO 6000 Blackwell 96GB?

58.24 tokens/sec per stream and 698.9 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 2.67 s, and inter-token latency is 17.2 ms.

What does Falcon 3 10B Instruct on RTX PRO 6000 Blackwell 96GB cost per million tokens?

$0.5962 per 1M output tokens at 1× RTX PRO 6000 Blackwell 96GB ($1.50/hr). That is the marginal hardware cost — add idle capacity, ops, and egress for the real figure.

How much VRAM does Falcon 3 10B Instruct need on RTX PRO 6000 Blackwell 96GB?

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.

Is RTX PRO 6000 Blackwell 96GB the right choice for Falcon 3 10B Instruct?

It works. Compare $0.5962 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.

Adjust the workload yourself

Same formulas, your context length, concurrency, and quantisation.

Open in calculator