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

Llama 3 70B on AMD MI300X 192GB: Does It Fit, How Fast, What It Costs

Llama 3 70B at FP8 (E4M3) needs 70.6 GB for its weights and 92.1 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
92.1 GB needed / 192 GB available
Decode speed
73.19
tok/s per stream
Aggregate
878.3
tok/s @ 8 concurrent
Cost / 1M tokens
$0.7906
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 GB92.1 GB73.19878.31.81 s$0.7906✓
2× AMD384 GB92.1 GB124.42986923.0 ms$0.4651✓
4× AMD768 GB92.1 GB248.911945476.5 ms$0.2325✓
8× AMD1536 GB92.1 GB497.747781253.3 ms$0.1163✓
Concurrency vs context length
On 1× AMD MI300X 192GB 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?
4K901.34 GB✓ fits
8K452.68 GB✓ fits
33K1110.74 GB✓ fits
66K521.47 GB✓ fits
131K242.95 GB✓ fits
Other GPUs that run Llama 3 70B
Same workload, same quantization — ranked by value (tokens per dollar-hour).
GPUGPUsAggregate tok/sCost / 1M tok
RTX 5090 32GB4×4039$0.1376
A100 80GB SXM42×1127$0.5916
H100 SXM5 80GB2×1888$0.7358
L40S 48GB2×486.8$0.7988
AMD MI325X 288GB1×994.3$0.9778
Intel Gaudi 3 128GB1×546.9$1.02
Frequently asked questions

Can Llama 3 70B run on AMD MI300X 192GB?

Yes. Llama 3 70B at FP8 (E4M3) needs 92.1 GB including the KV cache, and AMD MI300X 192GB has 192 GB — so it fits on a single GPU.

How fast is Llama 3 70B on AMD MI300X 192GB?

73.19 tokens/sec per stream and 878.3 tok/s aggregate with continuous batching at 8 concurrent users. Time to first token is 1.81 s, and inter-token latency is 13.7 ms.

What does Llama 3 70B on AMD MI300X 192GB cost per million tokens?

$0.7906 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 Llama 3 70B need on AMD MI300X 192GB?

70.6 GB for the weights at FP8 (E4M3), plus 21.5 GB of KV cache for 8 concurrent requests at 8K context — 92.1 GB total. Every extra concurrent user at long context costs more, so leave headroom.

Is AMD MI300X 192GB the right choice for Llama 3 70B?

It works. Compare $0.7906 per 1M tokens against the alternatives below — the cheapest option that fits the same workload is 8× RTX 4080 16GB at $0.1031, and the fastest is 4× Cerebras CS-3 (WSE-3) at 45076 tok/s.

Adjust the workload yourself

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

Open in calculator