Intel128 GB VRAM3,300 GB/s$2/hr

Qwen 2.5-VL 72B (VLM) on Intel Gaudi 3 128GB: Does It Fit, How Fast, What It Costs

Qwen 2.5-VL 72B (VLM) at FP8 (E4M3) needs 72.0 GB for its weights and 93.5 GB in total at 8K context with 8 concurrent users. That means it fits on a single Intel Gaudi 3 128GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
93.5 GB needed / 128 GB available
Decode speed
44.69
tok/s per stream
Aggregate
536.3
tok/s @ 8 concurrent
Cost / 1M tokens
$1.04
1× Intel Gaudi 3 128GB
What changes as you add Intel Gaudi 3 128GBs
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× Intel128 GB93.5 GB44.69536.31.34 s$1.04✓
2× Intel256 GB93.5 GB75.971823686.0 ms$0.6094✓
4× Intel512 GB93.5 GB151.97293358.0 ms$0.3047✓
8× Intel1024 GB93.5 GB303.929172194.0 ms$0.1524✓
Concurrency vs context length
On 1× Intel Gaudi 3 128GB 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?
4K411.34 GB✓ fits
8K202.68 GB✓ fits
33K510.74 GB✓ fits
66K221.47 GB✓ fits
131K142.95 GB✓ fits
Other GPUs that run Qwen 2.5-VL 72B (VLM)
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB4×3960$0.1403
A100 80GB SXM42×1105$0.6033
H100 SXM5 80GB2×1851$0.7504
AMD MI300X 192GB1×861.3$0.8063
L40S 48GB2×477.4$0.8147
AMD MI325X 288GB1×975.0$0.9972
Frequently asked questions

Can Qwen 2.5-VL 72B (VLM) run on Intel Gaudi 3 128GB?

Yes. Qwen 2.5-VL 72B (VLM) at FP8 (E4M3) needs 93.5 GB including the KV cache, and Intel Gaudi 3 128GB has 128 GB — so it fits on a single GPU.

How fast is Qwen 2.5-VL 72B (VLM) on Intel Gaudi 3 128GB?

44.69 tokens/sec per stream and 536.3 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 1.34 s, and inter-token latency is 22.4 ms.

What does Qwen 2.5-VL 72B (VLM) on Intel Gaudi 3 128GB cost per million tokens?

$1.04 per 1M output tokens at 1× Intel Gaudi 3 128GB ($2.00/hr). That is the marginal hardware cost — add idle capacity, ops, and egress for the real figure.

How much VRAM does Qwen 2.5-VL 72B (VLM) need on Intel Gaudi 3 128GB?

72.0 GB for the weights at FP8 (E4M3), plus 21.5 GB of KV cache for 8 concurrent requests at 8K context — 93.5 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is Intel Gaudi 3 128GB the right choice for Qwen 2.5-VL 72B (VLM)?

It works. Compare $1.04 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 8× RTX 4080 16GB at $0.1052, and the fastest is 4× Cerebras CS-3 (WSE-3) at 44200 tok/s.

Adjust the workload yourself

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

Open in calculator