InferenceX Research

Articles

Benchmark write-ups on agentic inference, AgentX results, and chip and serving-stack economics.

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11 min read

B200 NVFP4 vs H200 INT4 on Kimi K2.5/K2.6: Up to 2.95x Better Performance per Dollar

On vLLM 8K/1K the NVFP4 path on B200 is 2.71x–2.95x cheaper per million tokens than H200 INT4 across the entire 30–90 tok/s/user serving band, and 2.45x–2.74x cheaper than B200 INT4 on the same silicon. Both factors decompose cleanly into B200's HBM bandwidth, HBM capacity, and NVFP4 tensor cores

  • benchmark
  • gpu
  • inference
  • +6

6 min read

GB200 NVL72 vs B200 on Kimi K2.5: 3.1x from Wide EP vLLM

Rack scale NVLink on NVL72 lets Dynamo vLLM run Kimi K2.5 wide EP up to Decode EP 16, taking peak throughput from 4,021 to 12,587 tok/s/GPU on 8k/1k NVFP4

  • benchmark
  • gpu
  • inference
  • +7

6 min read

AMD MI355X Kimi K2.5 Inference: 7.7x Throughput, Up To 15x Interactivity in 25 Days on vLLM

vLLM PR #35850 Fixed AITER MLA Dispatch on MI355X CDNA4, Unlocking Kimi K2.5 Inference Performance at TP=8, Shipped in vLLM 0.18

  • benchmark
  • gpu
  • inference
  • +5