NVIDIA288 GB VRAM8,000 GB/s$8/hr

Falcon 3 10B Instruct on B300 SXM 288GB: 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 B300 SXM 288GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
30.7 GB needed / 288 GB available
Decode speed
260.0
tok/s per stream
Aggregate
3120
tok/s @ 8 concurrent
Cost / 1M tokens
$0.7123
1× B300 SXM 288GB
What changes as you add B300 SXM 288GBs
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× B300288 GB30.7 GB260.03120252.3 ms$0.7123✓
2× B300576 GB30.7 GB442.010608141.5 ms$0.4190✓
4× B3001152 GB30.7 GB884.04243285.7 ms$0.2095✓
8× B3002304 GB30.7 GB176816972857.9 ms$0.1047✓
Concurrency vs context length
On 1× B300 SXM 288GB at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K399687.2 MB✓ fits
8K1991.34 GB✓ fits
33K495.37 GB✓ fits
66K2410.74 GB✓ fits
131K1221.47 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 B300 SXM 288GB?

Yes. Falcon 3 10B Instruct at FP16 needs 30.7 GB including the KV cache, and B300 SXM 288GB has 288 GB — so it fits on a single GPU.

How fast is Falcon 3 10B Instruct on B300 SXM 288GB?

260.0 tokens/sec per stream and 3120 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 252.3 ms, and inter-token latency is 3.8 ms.

What does Falcon 3 10B Instruct on B300 SXM 288GB cost per million tokens?

$0.7123 per 1M output tokens at 1× B300 SXM 288GB ($8.00/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 B300 SXM 288GB?

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 B300 SXM 288GB the right choice for Falcon 3 10B Instruct?

It works. Compare $0.7123 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