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

Qwen 3 32B on RTX PRO 6000 Blackwell 96GB: Does It Fit, How Fast, What It Costs

Qwen 3 32B at FP8 (E4M3) needs 32.0 GB for its weights and 49.2 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
49.2 GB needed / 96 GB available
Decode speed
54.60
tok/s per stream
Aggregate
655.2
tok/s @ 8 concurrent
Cost / 1M tokens
$0.6359
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 GB49.2 GB54.60655.28.44 s$0.6359✓
2× RTX192 GB49.2 GB92.8222284.24 s$0.3741✓
4× RTX384 GB49.2 GB185.689112.13 s$0.1870✓
8× RTX768 GB49.2 GB371.3356431.08 s$0.0935✓
Concurrency vs context length
On 1× RTX PRO 6000 Blackwell 96GB at FP8 (E4M3). KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K591.07 GB✓ fits
8K292.15 GB✓ fits
33K78.59 GB✓ fits
66K317.18 GB✓ fits
131K134.36 GB✓ fits
Other GPUs that run Qwen 3 32B
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB2×2228$0.1247
AMD MI300X 192GB1×1938$0.3584
L40S 48GB2×1074$0.3621
AMD MI325X 288GB1×2194$0.4432
A100 80GB SXM41×731.3$0.4558
Intel Gaudi 3 128GB1×1207$0.4604
Frequently asked questions

Can Qwen 3 32B run on RTX PRO 6000 Blackwell 96GB?

Yes. Qwen 3 32B at FP8 (E4M3) needs 49.2 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 32B on RTX PRO 6000 Blackwell 96GB?

54.60 tokens/sec per stream and 655.2 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 8.44 s, and inter-token latency is 18.3 ms.

What does Qwen 3 32B on RTX PRO 6000 Blackwell 96GB cost per million tokens?

$0.6359 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 32B need on RTX PRO 6000 Blackwell 96GB?

32.0 GB for the weights at FP8 (E4M3), plus 17.2 GB of KV cache for 8 concurrent requests at 8K context — 49.2 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 32B?

It works. Compare $0.6359 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 8× RTX 3080 10GB at $0.0294, and the fastest is 2× Cerebras CS-3 (WSE-3) at 24863 tok/s.

Adjust the workload yourself

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

Open in calculator