Blackwell

2026-11-02

MODELS · 1 SOURCE · NVIDIA Developer

NVIDIA releases Cosmos Framework with Cosmos 3 Nano simulation recipes and NIM microservices

NVIDIA announced the Cosmos Framework, a modular platform of world foundation models and developer tools for physical AI that supports training, RL, optimization and inference across models including Cosmos 3, Alpamayo, GR00T, Qwen and pi0.5. The release includes Cosmos 3 Nano simulation recipes and example checkpoints (PyTorch/vLLM-Omni), NIM microservices for accelerated inference (quantization, speculative decoding, KV-cache-aware routing) with ~2–3x speedups on H200 GPUs, and guidance on GPU memory use (Cosmos3-Nano: ~58 GiB BF16; ~44 GiB FP8 with offloading); a livestream is scheduled for Nov. 5.

7.0

2026-10-28

MODELS · 4 SOURCES · NVIDIA Developer · Hugging Face · TechCrunch AI · The Decoder

NVIDIA releases Nemotron-Personas datasets and fine-tuning workflow for France and Belgium

NVIDIA published Nemotron-Personas datasets for France and Belgium — part of its Nemotron data program covering locale-grounded persona datasets for 12 countries — and outlined a workflow for post-training Nemotron models with persona-guided synthetic conversations to improve local accuracy and behavior. The French and Belgian datasets (the latter spanning Dutch, French, German, and English) were created with partners Pleias and KU Leuven to help adapt open models to regional rules, terminology, and cultural nuance.

8.0

2026-09-22

CODING · 1 SOURCE · NVIDIA Developer

NVIDIA documents TensorRT LLM adaptations for confidential Blackwell (B200) inference

NVIDIA published guidance and measured results showing how TensorRT LLM adapts to confidential computing on Blackwell B200 hardware, including CC-aware memory selection, async token readback, using the GPU %globaltimer for autotuning, and communication-path detection when NVLS multicast is unavailable. In their tests, CC-enabled runs retained about 96.1–98.2% of token throughput versus CC-off, with per-token latency (TPOT) within roughly 1.2–4.3% of baseline.

7.0

2026-08-24

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA says Vera Rubin and Blackwell set new standard for agentic AI performance per watt

According to a post on NVIDIA Developer, the company's new architectures—Vera Rubin and Blackwell—set a new standard for performance per watt for agentic AI workloads, the form of inference that spans multi-step workflows, tool use and subagent coordination. NVIDIA frames these improvements as boosting efficiency for running complex AI agents, though specific benchmark details belong to the source announcement.

7.0