Tooling51d ago
NVIDIA agrees to acquire Hugging Face for $12.93B; Hub stays open and multi-cloud
NVIDIA CEO Jensen Huang announced an agreement to acquire Hugging Face for about $12.93B. NVIDIA says the Hub remains an open platform for the whole ecosystem, supporting open/open-weight models plus multi-cloud and multi-accelerator deployment, without requiring NVIDIA compute. This upgrades earlier acquisition-talk reports into a public confirmed deal.
Release4d ago
NVIDIA open-sources Flora, the robotics data engine behind GR00T: three models that caption and score robot video at roughly 1/125 the cost of GPT-6 Astra
On Oct 20, NVIDIA's GEAR lab (Jim Fan's team) open-sourced Flora, a model suite that turns human and robot manipulation video into timestamped action captions, process rewards, outcome rewards and rubric scores. It includes Flora-Captioner 27B and Flora-Rewarder 27B (both on Qwen3.5-27B) and Flora-TempSeg 9B (a LoRA on Qwen3.5-9B), with weights on Hugging Face under an NVIDIA non-commercial license. NVIDIA says it is the in-house data engine used to train GR00T, labeling 200,000 hours of video a day on 512 GB300s, matching GPT-6 Astra on annotation quality at roughly 125x lower cost.
Release1d ago
NVIDIA open-sources Nemotron 3.5 Bolt E4B 4GB, a Gemma 4 E4B-based small model for local assistants, characters and robots with tool use
On 2026-10-23 (15:41 UTC) the official @NVIDIAAI account announced Nemotron 3.5 Bolt E4B 4GB, a small open model for local assistants, interactive characters and robots that can hold a conversation and use tools. The official Hugging Face model card says it is post-trained from Gemma-4-E4B-it, has 8B total parameters (4B effective), ships in Q4_K_M quantization, supports up to 64K input and 64K output tokens, and has a switchable thinking mode, plus a DFlash speculative-decoding drafter and a BF16 version. Weights, data and recipes are open under the OpenMDW-1.1 license, with commercial use allowed. On the model card the 4GB build scores 55.60 on MultiChallenge (Gemma4 E4B-it at the same quantization 39.36, Qwen3.5 4B 52.23), but trails Qwen3.5 4B on Tau2-Bench (52.32) and BFCL-v3 (67.31).
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