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

Qwen 2.5 14B on Intel Gaudi 3 128GB: Does It Fit, How Fast, What It Costs

Qwen 2.5 14B at FP16 needs 28.0 GB for its weights and 40.9 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
40.9 GB needed / 128 GB available
Decode speed
76.61
tok/s per stream
Aggregate
919.3
tok/s @ 8 concurrent
Cost / 1M tokens
$0.6043
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 GB40.9 GB76.61919.3293.1 ms$0.6043✓
2× Intel256 GB40.9 GB130.23126162.7 ms$0.3555✓
4× Intel512 GB40.9 GB260.51250296.3 ms$0.1777✓
8× Intel1024 GB40.9 GB520.95000963.2 ms$0.0889✓
Concurrency vs context length
On 1× Intel Gaudi 3 128GB at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K124824.6 MB✓ fits
8K621.61 GB✓ fits
33K156.44 GB✓ fits
66K712.88 GB✓ fits
131K325.77 GB✓ fits
Other GPUs that run Qwen 2.5 14B
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB2×1697$0.1637
AMD MI300X 192GB1×1476$0.4704
AMD MI325X 288GB1×1671$0.5817
A100 80GB SXM41×557.1$0.5983
H100 SXM5 80GB1×933.2$0.7441
B200 SXM 192GB1×2229$0.7479
Frequently asked questions

Can Qwen 2.5 14B run on Intel Gaudi 3 128GB?

Yes. Qwen 2.5 14B at FP16 needs 40.9 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 14B on Intel Gaudi 3 128GB?

76.61 tokens/sec per stream and 919.3 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 293.1 ms, and inter-token latency is 13.1 ms.

What does Qwen 2.5 14B on Intel Gaudi 3 128GB cost per million tokens?

$0.6043 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 14B need on Intel Gaudi 3 128GB?

28.0 GB for the weights at FP16, plus 12.9 GB of KV cache for 8 concurrent requests at 8K context — 40.9 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 14B?

It works. Compare $0.6043 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 8× RTX 3080 10GB at $0.0386, and the fastest is 8× RTX 3080 10GB at 11517 tok/s.

Adjust the workload yourself

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

Open in calculator