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nemotron

A collection of 20 posts

NIMStats Gets the NVIDIA NIM Problem Right: Benchmark the Endpoint You Actually Use

NIMStats Gets the NVIDIA NIM Problem Right: Benchmark the Endpoint You Actually Use

The most useful inference benchmark is usually not the one with the cleanest chart. It is the one that keeps running after everyone stops looking. NIMStats is a tiny open-source dashboard for NVIDIA NIM endpoints, and its value is exactly that kind of boring persistence: run the same checks every

NVIDIA’s Tiny Nemotron-CLIMB Models Are for People Who Cannot Afford to Guess at Scale

NVIDIA’s Tiny Nemotron-CLIMB Models Are for People Who Cannot Afford to Guess at Scale

NVIDIA’s Nemotron-CLIMB release is not trying to impress anyone in a chatbot arena. That is why it is worth paying attention to. The company published Nemotron-CLIMB Proxy Base Models on Hugging Face: two small decoder-only language models, one with 62 million parameters and one with 350 million, trained from

Nemotron CLIMB Is NVIDIA Admitting the Expensive Part of Scaling Laws Needs Cheaper Test Fixtures

Nemotron CLIMB Is NVIDIA Admitting the Expensive Part of Scaling Laws Needs Cheaper Test Fixtures

The least glamorous way to save millions of dollars in AI is to find out your training recipe is bad before you run it at the size where the invoice becomes memorable. That is the real story behind NVIDIA’s Nemotron-CLIMB proxy models: two small base models, 62M and 350M

NVIDIA’s New Streaming ASR Model Is the Boring Multilingual Agent Component Everyone Eventually Needs

NVIDIA’s New Streaming ASR Model Is the Boring Multilingual Agent Component Everyone Eventually Needs

The most important model releases are usually not the ones that make the best demo reel. They are the ones that remove a piece of glue code from a production system. NVIDIA’s new Nemotron 3.5 ASR Streaming Multilingual 0.6B is that kind of release: a 600 million-parameter

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

Valid Bash Is Not Safe Bash: NVIDIA’s Small-Model Benchmark Is Really an Agent Security Warning

Valid Bash Is Not Safe Bash: NVIDIA’s Small-Model Benchmark Is Really an Agent Security Warning

The most important sentence in NVIDIA’s new Bash-generation research is not the benchmark result. It is the premise: Bash is “one of the most flexible and powerful interfaces exposed to AI agents.” That is the polite version. The less polite version is that a coding agent producing shell commands