NVIDIA32 GB VRAM1,792 GB/s$0.5/hr

Falcon 3 10B Instruct on RTX 5090 32GB: 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 5090 32GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
30.7 GB needed / 32 GB available
Decode speed
58.24
tok/s per stream
Aggregate
698.9
tok/s @ 8 concurrent
Cost / 1M tokens
$0.1987
1× RTX 5090 32GB
What changes as you add RTX 5090 32GBs
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× RTX32 GB30.7 GB58.24698.93.17 s$0.1987✓
2× RTX64 GB30.7 GB99.0123761.60 s$0.1169✓
4× RTX128 GB30.7 GB198.09505815.2 ms$0.0585✓
8× RTX256 GB30.7 GB396.038019422.6 ms$0.0292✓
Concurrency vs context length
On 1× RTX 5090 32GB at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K17687.2 MB✓ fits
8K81.34 GB✓ fits
33K25.37 GB✓ fits
66K110.74 GB✓ fits
131K021.47 GB✗ does not fit
Other GPUs that run Falcon 3 10B Instruct
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
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
Intel Gaudi 3 128GB1×1287$0.4317
Frequently asked questions

Can Falcon 3 10B Instruct run on RTX 5090 32GB?

Yes. Falcon 3 10B Instruct at FP16 needs 30.7 GB including the KV cache, and RTX 5090 32GB has 32 GB — so it fits on a single GPU.

How fast is Falcon 3 10B Instruct on RTX 5090 32GB?

58.24 tokens/sec per stream and 698.9 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 3.17 s, and inter-token latency is 17.2 ms.

What does Falcon 3 10B Instruct on RTX 5090 32GB cost per million tokens?

$0.1987 per 1M output tokens at 1× RTX 5090 32GB ($0.5000/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 5090 32GB?

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 5090 32GB the right choice for Falcon 3 10B Instruct?

It works. Compare $0.1987 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