AMD192 GB VRAM5,300 GB/s$2.5/hr

Qwen 2.5 14B on AMD MI300X 192GB: 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 AMD MI300X 192GB. Every figure is computed by tokcalc's open-source capacity model.

Fits?
Yes, 1 GPU
40.9 GB needed / 192 GB available
Decode speed
123.0
tok/s per stream
Aggregate
1476
tok/s @ 8 concurrent
Cost / 1M tokens
$0.4704
1× AMD MI300X 192GB
What changes as you add AMD MI300X 192GBs
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× AMD192 GB40.9 GB123.01476389.1 ms$0.4704✓
2× AMD384 GB40.9 GB209.25020210.3 ms$0.2767✓
4× AMD768 GB40.9 GB418.320079120.1 ms$0.1383✓
8× AMD1536 GB40.9 GB836.68031875.1 ms$0.0692✓
Concurrency vs context length
On 1× AMD MI300X 192GB at FP16. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K203824.6 MB✓ fits
8K1011.61 GB✓ fits
33K256.44 GB✓ fits
66K1212.88 GB✓ fits
131K625.77 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 MI325X 288GB1×1671$0.5817
A100 80GB SXM41×557.1$0.5983
Intel Gaudi 3 128GB1×919.3$0.6043
H100 SXM5 80GB1×933.2$0.7441
B200 SXM 192GB1×2229$0.7479
Frequently asked questions

Can Qwen 2.5 14B run on AMD MI300X 192GB?

Yes. Qwen 2.5 14B at FP16 needs 40.9 GB including the KV cache, and AMD MI300X 192GB has 192 GB — so it fits on a single GPU.

How fast is Qwen 2.5 14B on AMD MI300X 192GB?

123.0 tokens/sec per stream and 1476 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 389.1 ms, and inter-token latency is 8.1 ms.

What does Qwen 2.5 14B on AMD MI300X 192GB cost per million tokens?

$0.4704 per 1M output tokens at 1× AMD MI300X 192GB ($2.50/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 AMD MI300X 192GB?

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 AMD MI300X 192GB the right choice for Qwen 2.5 14B?

It works. Compare $0.4704 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