The LGTM (Page 101)

The LGTM

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DGX Spark’s Nemotron 3 Super Benchmark Is Useful Because It Measures Stability, Not Just Speed

DGX Spark’s Nemotron 3 Super Benchmark Is Useful Because It Measures Stability, Not Just Speed

The most useful number in the latest DGX Spark Nemotron benchmark is not 23.45 tokens per second. It is zero. Zero crashes. Zero out-of-memory errors. A same-evening NVIDIA Developer Forum post reports Nemotron-3-Super-120B-A12B-NVFP4 running on a single DGX Spark at 23.45 tokens/sec for a tg128 single-session test,

Nemotron 3 Nano Looks Fast on Jetson Thor — Until Concurrency Makes the Runtime Tell the Truth

Nemotron 3 Nano Looks Fast on Jetson Thor — Until Concurrency Makes the Runtime Tell the Truth

Jetson Thor can run serious local AI models now. That is no longer the interesting part. The interesting part is that a same-day NVIDIA Developer Forum benchmark shows exactly where the glossy edge-AI story starts paying rent: concurrency, runtime support, kernel selection, and parser glue. A user tested NVIDIA’s

AgentMemory 0.9.11 Shows the Agent Plugin Format War Is Really About Portable Authority

AgentMemory 0.9.11 Shows the Agent Plugin Format War Is Really About Portable Authority

AgentMemory 0.9.11 looks, at first glance, like a small integration release: a Codex plugin manifest, a marketplace entry, and a fix for an OpenClaw memory-slot bug. That undersells it. The release is a useful snapshot of where coding-agent infrastructure is going: memory, hooks, skills, MCP servers, and host

AnyFlow Is NVIDIA’s Argument That Video Diffusion Needs a Throttle, Not Just a Bigger Engine

AnyFlow Is NVIDIA’s Argument That Video Diffusion Needs a Throttle, Not Just a Bigger Engine

Video-generation products do not need a sacred sampler setting. They need a throttle. That is the practical argument hiding inside NVIDIA’s new AnyFlow checkpoints on Hugging Face. AnyFlow is framed as an “any-step” video diffusion framework: a single distilled model should adapt to arbitrary inference budgets instead of being

NVIDIA’s Wan2.2 FP8/NVFP4 Checkpoints Are the Boring Part of Video AI That Actually Matters

NVIDIA’s Wan2.2 FP8/NVFP4 Checkpoints Are the Boring Part of Video AI That Actually Matters

The least glamorous part of generative video is becoming the part that matters: not whether the demo clip looks impressive, but whether the model can be served, measured, rolled back, and kept inside a cost envelope without turning every request into a GPU bonfire. NVIDIA’s new FP8 and NVFP4