Model Detail
NVIDIA-Nemotron-3-Super-120B-A12B-FP8
—NVIDIA-Nemotron-3-Super-120B-A12B-FP8 is a code generation model with 120B parameters released by NVIDIA. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, distributed under a other license.
NVIDIA-Nemotron-3-Super-120B-A12B-FP8 is priced at $0.1/M input tokens and $0.5/M output tokens. Operationally the model offers a 262K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
NVIDIA-Nemotron-3-Super-120B-A12B-FP8 ships with 120B parameters. Total weight footprint is approximately 123.6 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.
NVIDIA-Nemotron-3-Super-120B-A12B-FP8 is best fit for code completion, repository-scale Q&A, and pair-programming integrations, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (262K tokens). It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Apple’s Ternus era begins as Nvidia bets on the whole AI stack
It’s officially the Ternus era at Apple. Tim Cook stepped down as CEO this week, handing the company to former hardware chief John Ternus, whose first memo promised a “huge launch next week” — timing that puts Apple’s next iPhone event on his desk before he’s even settled in. Cook isn’t going far, t

Nvidia launches free tool that links idle computers into a personal AI data center
Nvidia is announcing its new Personal AI Router (PAIR), a free tool that syncs up your home computers for tackling local AI inference tasks with tools like Ollama and LM Studio. Let's get the obvious thing out of the way, despite what its name might imply: PAIR is not a hardware router. It's open-so
Nvidia confirms it will buy Hugging Face for $12.9 billion
Nvidia said Hugging Face hosts over 3 million models and is used by over 18 million developers.

Nvidia is buying Hugging Face for almost $13 billion
Nvidia has agreed to buy Hugging Face for $12.93 billion, bringing one of the most popular hosting platforms for open-source AI models, datasets, and tools under the ownership of the world's biggest AI chipmaker. Hugging Face is an online platform founded in 2016 that gives AI developers a space to
TechCrunch Disrupt 2026’s new Real World AI Stage features Nvidia, robots, and extinct animals
On our new Real World AI stage, we’ll be focusing on the intersection between the digital and physical, and all the ways we’ll continue to see a blending of the two.

Nvidia’s controversial DLSS 5 arrives September 3rd and requires serious GPU horsepower
Nvidia is officially launching DLSS 5 this week, following a divisive announcement in March where we likened the AI upscaling tech to a "real-time generative AI filter for video games" and "motion smoothing for video games, but worse." DLSS 5 will officially be available on RTX 50-series desktop and