AnalysisTutorial / explainerEfficiency & Inference · Hardware & Compute · MLOps, Tooling & Infrastructure1 source · Oct 16, 2026

Dario: “With open source you can see the source code. Here we can’t see inside the model.” My 0.646 t/s MiMo-2.6-Pro crammed thru 128GB of Jetson AGX Thor: “Yeah, well, that’s just, like, your opinion, man.”

Tracked my first run of MiMo Pro on a Jetson AGX Thor at a scorching 0.646 tokens/sec,.. but it DID technically load and run, so it counts.

Proof1 community thread

Key points

  • Every decoder layer, routed expert, SSD read (..a good bit more) traced and replayable step by step.
  • it's ~566GB of model (FP8), at the blinding speed and architecture of hand-extruded hotdog manufacturing, read from disk mid-inference, painfully shat through 128GB of memory.
  • I think it's fine but decided to maybe take a closer look to see if I could maybe reach factory hotdog manufacturing speeds. like, a small, local hotdog factory..
  • ..poor lil bugger, get well soon Dario!

Sources (1)

Extractive summary: sentences quoted from the sources.

Before this

  1. Oct 16, 2026Tyger: open-weights streaming ASR + full-duplex turn-control in one model
  2. Oct 16, 2026nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-MXFP8
  3. Oct 15, 2026NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning
  4. Oct 15, 2026Prompt tips from Anthropic
  5. Oct 15, 2026StepFun Releases Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context
  6. Oct 15, 2026Welcome FLUX.3 Image Klein in Diffusers

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