All model and GPU pairings
Kimi K3 2.8TAMD CDNA 4

Running Kimi K3 on MI355X

Quick answer

Kimi K3 sustains 5,542 tokens/s per GPU on MI355X at 50 tokens/s per user, which works out to $0.075 per million tokens at hyperscaler pricing, served by vLLM. Fastest measured TTFT: 0.7 ms; fastest TPOT: 0.0 ms (each the best across all configs, not one run).

Benchmarked configs

19

Serving engines

ATOM¹, vLLM

Precisions

fp4

Run dates

2026-09-102026-09-10

Throughput at every interactivity target

Serving is a trade-off: push more concurrent users through a GPU and each user's tokens arrive slower. The ladder below reads the measured frontier at each per-user speed target on the AgentX agentic coding workload, using the best engine and precision at that point.

Per-user targetTokens/s per GPU$ / 1M tokensEnginePrecision
30 tok/s7,729$0.054vLLMfp4
50 tok/s5,542$0.075vLLMfp4
75 tok/s2,901$0.14vLLMfp4
100 tok/s--vLLMfp4
150 tok/s--vLLMfp4
200 tok/s--vLLMfp4

What serving actually costs

Converting the 50 tokens/s per user operating point to $ per million total tokens across rental pricing tiers from the SemiAnalysis AI Cloud TCO model.

Pricing tier$ / GPU / hr$ / 1M tokens
Owning at Large Hyperscaler Volume$1.50$0.075
Retail$2.90$0.15

Frequently asked questions

How fast is Kimi K3 on MI355X?
At an interactivity target of 50 tokens/s per user on the AgentX agentic coding workload, MI355X sustains 5,542 tokens/s per GPU serving Kimi K3 with vLLM in FP4. Peak measured throughput across all configs is 11,323 tokens/s per GPU.
How much does it cost to serve Kimi K3 on MI355X?
$0.075 per million total tokens at large-hyperscaler-volume ownership $/GPU/hr pricing, at 50 tokens/s per user. The retail rental tier is tabulated above; slower interactivity targets lower the cost further.
Which serving engines run Kimi K3 on MI355X?
The runs behind this page used ATOM¹, vLLM in FP4. Engines are rebuilt and re-benchmarked continuously, so the best config can change between visits.
How are these Kimi K3 numbers measured?
Every number is measured on real MI355X hardware by the InferenceX fleet, sweeping concurrency on the AgentX agentic coding workload to trace the throughput-versus-interactivity frontier; the newest run landed on 2026-09-10. The same derivation powers the InferenceX overview leaderboard.

Explore the data