NVIDIA AI AI News, Models and Product Updates

Nvidia Ai news, model releases, product launches, research updates, and major announcements in one place.

Latest Articles

• Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care — Children's Hospital of Philadelphia is using open-source NVIDIA AI tools to generate 3D models of pediatric hearts in seconds, aiming to improve pre-surgical planning for children with congenital heart disease.
• mKernel: Fast Multi-GPU, Multi-Node Fused Kernels — mKernel achieves up to 1.88x speedup on Ring Attention across 16-GPU H200 clusters by fusing computation with NVLink and RDMA communication at tile granularity — targeting the communication bottleneck that limits distributed LLM training at scale.
• GGUF-Metadata Prediction of Single-Sequence llama.cpp Throughput Across Three Systems — llama.cpp inference throughput on Apple M4 Max can be predicted from GGUF file metadata with 13–14% mean error by counting active parameters rather than total parameters — 3–4x more accurate than the naive total-parameter baseline, with weaker results on RTX 5080 at 36% error.
• Jensen Huang took a call from Trump, and showed off something else, too — At the All-In conference, Jensen Huang took a live Trump phone call on Apple's unreleased $1,999 foldable iPhone — 5 weeks before it hits stores — while both men dismissed AI safety concerns as a 'hoax.' The moment also exposed Apple's renewed reliance on Nvidia to run Apple Intelligence, a decade after the two companies parted ways.
• Nvidia CEO Jensen Huang tells Trump ‘we’re not going to let [an AI slowdown] happen’ — Jensen Huang aligned with Trump live on stage at the All-In Summit, both opposing Dario Amodei's call to slow AI capabilities development — a position Musk and Altman had publicly endorsed. Trump called slowdown advocacy a hoax and a potential Chinese psyop; Huang replied 'we're not going to let that happen.'
• Jensen Huang puts Trump on speakerphone onstage to announce robots won’t take over the world — At the All-In Summit, Nvidia CEO Jensen Huang put President Trump on speakerphone before a large crowd, where Trump dismissed AI safety fears as a 'hoax' and insisted 'the robots will not be taking over' — directly contradicting Anthropic CEO Dario Amodei's weekend essay calling for a coordinated slowdown in AI development.
• Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX — Perplexity's Portable Computer AI agent is now available on Windows for NVIDIA GeForce RTX and RTX PRO GPUs with 24GB+ VRAM, running local agentic workflows on a post-trained Qwen 3.8 27B without sending data to the cloud or consuming Perplexity cloud credits.
• Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills — QCon AI presentation from Aletyx CEO Alex Porcelli demonstrates how wrapping LLM agents with DMN (Decision Model and Notation) rules creates auditable, deterministic decision paths — letting business teams own governance logic while engineers maintain architectural control.
• NVIDIA Open-Sources OSMO: One YAML Orchestrates Physical AI Training, Simulation, and Robot Testing — NVIDIA open-sources OSMO under Apache-2.0—a Kubernetes-native orchestrator that lets robotics teams describe training (on GB200/H100), simulation (Isaac Sim on RTX), and hardware-in-the-loop testing (Jetson) in a single YAML file, eliminating cluster-specific glue scripts.
• RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems — RoofLang is a domain-specific language for AI-driven LLM inference architecture search — revealing that DeepSeek V4 achieves 3.5-39.5x higher peak decode throughput than competing models, and enabling an agent to discover new architectures improving DeepSeek V4 Pro by 6.23-50.1% on NVIDIA B300.