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

Mistral 7B v0.3 on AMD MI300X 192GB: Does It Fit, How Fast, What It Costs

Mistral 7B v0.3 at FP16 needs 14.5 GB for its weights and 23.1 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
23.1 GB needed / 192 GB available
Decode speed
237.9
tok/s per stream
Aggregate
2855
tok/s @ 8 concurrent
Cost / 1M tokens
$0.2432
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 GB23.1 GB237.92855215.7 ms$0.2432✓
2× AMD384 GB23.1 GB404.59707123.2 ms$0.1431✓
4× AMD768 GB23.1 GB808.93882876.6 ms$0.0715✓
8× AMD1536 GB23.1 GB161815531053.3 ms$0.0358✓
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?
4K330549.8 MB✓ fits
8K1651.07 GB✓ fits
33K414.29 GB✓ fits
66K208.59 GB✓ fits
131K1017.18 GB✓ fits
Other GPUs that run Mistral 7B v0.3
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 3090 24GB1×504.2$0.1377
RTX 5090 32GB1×965.3$0.1439
RTX 4090 24GB1×543.0$0.2046
V100 SXM2 32GB1×484.8$0.2865
A100 40GB SXM41×834.9$0.2994
AMD MI325X 288GB1×3232$0.3008
Frequently asked questions

Can Mistral 7B v0.3 run on AMD MI300X 192GB?

Yes. Mistral 7B v0.3 at FP16 needs 23.1 GB including the KV cache, and AMD MI300X 192GB has 192 GB — so it fits on a single GPU.

How fast is Mistral 7B v0.3 on AMD MI300X 192GB?

237.9 tokens/sec per stream and 2855 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 215.7 ms, and inter-token latency is 4.2 ms.

What does Mistral 7B v0.3 on AMD MI300X 192GB cost per million tokens?

$0.2432 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 Mistral 7B v0.3 need on AMD MI300X 192GB?

14.5 GB for the weights at FP16, plus 8.6 GB of KV cache for 8 concurrent requests at 8K context — 23.1 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is AMD MI300X 192GB the right choice for Mistral 7B v0.3?

It works. Compare $0.2432 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 4× RTX 3080 10GB at $0.0399, and the fastest is 1× Cerebras CS-3 (WSE-3) at 10773 tok/s.

Adjust the workload yourself

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

Open in calculator