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

Mixtral 8x22B (MoE) on AMD MI300X 192GB: Does It Fit, How Fast, What It Costs

Mixtral 8x22B (MoE) at AWQ 4-bit needs 77.6 GB for its weights and 92.6 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
92.6 GB needed / 192 GB available
Decode speed
141.3
tok/s per stream
Aggregate
1696
tok/s @ 8 concurrent
Cost / 1M tokens
$0.4095
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 GB92.6 GB141.316961.01 s$0.4095✓
2× AMD384 GB92.6 GB240.35766523.0 ms$0.2409✓
4× AMD768 GB92.6 GB480.523066276.5 ms$0.1204✓
8× AMD1536 GB92.6 GB961.192262153.3 ms$0.0602✓
Concurrency vs context length
On 1× AMD MI300X 192GB at AWQ 4-bit. KV cache scales linearly with context, so this is the number of users your GPUs can actually serve.
ContextConcurrent usersKV per requestFits?
4K121962.1 MB✓ fits
8K601.88 GB✓ fits
33K157.52 GB✓ fits
66K715.03 GB✓ fits
131K330.06 GB✓ fits
Other GPUs that run Mixtral 8x22B (MoE)
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB4×7799$0.0712
A100 80GB SXM42×2176$0.3064
H100 SXM5 80GB2×3645$0.3811
L40S 48GB2×940.0$0.4137
AMD MI325X 288GB1×1920$0.5064
Intel Gaudi 3 128GB1×1056$0.5261
Frequently asked questions

Can Mixtral 8x22B (MoE) run on AMD MI300X 192GB?

Yes. Mixtral 8x22B (MoE) at AWQ 4-bit needs 92.6 GB including the KV cache, and AMD MI300X 192GB has 192 GB — so it fits on a single GPU.

How fast is Mixtral 8x22B (MoE) on AMD MI300X 192GB?

141.3 tokens/sec per stream and 1696 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 1.01 s, and inter-token latency is 7.1 ms.

What does Mixtral 8x22B (MoE) on AMD MI300X 192GB cost per million tokens?

$0.4095 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 Mixtral 8x22B (MoE) need on AMD MI300X 192GB?

77.6 GB for the weights at AWQ 4-bit, plus 15.0 GB of KV cache for 8 concurrent requests at 8K context — 92.6 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is AMD MI300X 192GB the right choice for Mixtral 8x22B (MoE)?

It works. Compare $0.4095 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 8× RTX 4080 16GB at $0.0534, and the fastest is 4× Cerebras CS-3 (WSE-3) at 87040 tok/s.

Adjust the workload yourself

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

Open in calculator