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

Qwen 3 8B on RTX PRO 6000 Blackwell 96GB: Does It Fit, How Fast, What It Costs

Qwen 3 8B at FP16 needs 16.0 GB for its weights and 25.7 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
25.7 GB needed / 96 GB available
Decode speed
72.80
tok/s per stream
Aggregate
873.6
tok/s @ 8 concurrent
Cost / 1M tokens
$0.4770
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 GB25.7 GB72.80873.62.14 s$0.4770✓
2× RTX192 GB25.7 GB123.829701.09 s$0.2806✓
4× RTX384 GB25.7 GB247.511881558.3 ms$0.1403✓
8× RTX768 GB25.7 GB495.047524294.2 ms$0.0701✓
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?
4K132618.5 MB✓ fits
8K661.21 GB✓ fits
33K164.83 GB✓ fits
66K89.66 GB✓ fits
131K419.33 GB✓ fits
Other GPUs that run Qwen 3 8B
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB1×873.6$0.1590
AMD MI300X 192GB1×2584$0.2688
V100 SXM2 32GB1×438.8$0.3166
A100 40GB SXM41×755.6$0.3309
AMD MI325X 288GB1×2925$0.3324
A100 80GB SXM41×975.0$0.3419
Frequently asked questions

Can Qwen 3 8B run on RTX PRO 6000 Blackwell 96GB?

Yes. Qwen 3 8B at FP16 needs 25.7 GB including the KV cache, and RTX PRO 6000 Blackwell 96GB has 96 GB — so it fits on a single GPU.

How fast is Qwen 3 8B on RTX PRO 6000 Blackwell 96GB?

72.80 tokens/sec per stream and 873.6 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 2.14 s, and inter-token latency is 13.7 ms.

What does Qwen 3 8B on RTX PRO 6000 Blackwell 96GB cost per million tokens?

$0.4770 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 Qwen 3 8B need on RTX PRO 6000 Blackwell 96GB?

16.0 GB for the weights at FP16, plus 9.7 GB of KV cache for 8 concurrent requests at 8K context — 25.7 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is RTX PRO 6000 Blackwell 96GB the right choice for Qwen 3 8B?

It works. Compare $0.4770 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 4× RTX 3080 10GB at $0.0441, and the fastest is 1× Cerebras CS-3 (WSE-3) at 9750 tok/s.

Adjust the workload yourself

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

Open in calculator