AI Briefing#nvidia
The latest AI and developer news about #nvidia, with the original source and a short summary.
The latest AI and developer news about #nvidia, with the original source and a short summary.
The family includes reference-based and reference-free variants released on Hugging Face under OpenMDW-1.1 and Apache 2.0 licenses.
The model enables precise pixel-level changes without unintentionally altering unrelated details, addressing a common limitation of latent-space generators.
The funding, led by Schwarz Group, aims to develop frontier models and secure cyber defense systems for democratic nations, countering reliance on US and Chinese AI providers.
Amazon, Microsoft, and Alphabet plan to spend up to $600 billion combined on AI infrastructure this year.
The new architecture uses a Mixture-of-Experts model and fused GPU kernels to deliver near-ranking-level performance at 300x fewer FLOPs than the 2024 system.
The laptops start at $2,599 and feature a Blackwell RTX GPU and Grace CPU superchip with up to 1 petaflop of FP4 AI performance.
Open-weight model supports 40 languages and speaker diarization, with a 30B parameter architecture using 4B active parameters per token.
The consortium uses NVIDIA infrastructure and open-source tools to process 'dark data' from 18 institutions, aiming to discover causal mechanisms of brain aging by year three.
Nvidia and Meta are expanding their partnership to deploy Vera Rubin infrastructure for next-generation AI agents.
Analysis of $126.8B in funding reveals AI infrastructure holds 50% of capital but only 18% of rounds, while non-AI sectors dominate deal volume.
The company plans to initially raise $35 billion through underwritten public equity offerings before securing an additional $60 billion via an at-the-market program.
Nvidia, AMD, and Broadcom are set to act as cornerstone investors in the offering, which follows Meta's projection of up to $145bn in capital spending this year.
cuTile kernels that boost Mamba-2 forward propagation speed by up to 1.82x on B300 GPUs have been released.
The open-source tool unlocks hardware limits on GA102-GA106 chips, boosting BF16 GEMM throughput by up to 81% and LLM prefill speeds by 14-36%.
NVIDIA has released Nemotron 3.5 Bolt E4B, a small model for interactive agents that operates on 4GB VRAM.
Kazakhtelecom has deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty, with plans to add over 1,000 more units next year.
Tests show NVIDIA OpenShell blocks malicious scripts in default mode (0/10 leaks), but enabling auto-approve allows data exfiltration in 12 of 12 trials.
The model uses a separate motion branch connected via cross-attention to handle arbitrary skeletons and register motion in 3D scenes.
The feature uses Oblivious HTTP and remote attestation to protect data in transit and verify hardware isolation on NVIDIA H100 GPUs.
The open-source project, licensed under Apache 2.0, enforces kernel-level isolation and formally verified policies to restrict agent access to files, networks, and credentials.
The platform uses a dynamic knowledge graph and agentic AI to correlate infrastructure and workload telemetry, helping operators trace issues across hundreds of thousands of GPUs.
Ultimate members get ray tracing support for the new campaign, while Fire TV Stick users can now buy memberships directly via Amazon.
European financial institutions, including Revolut and Stripe, leverage NVIDIA accelerated computing and open weight models to build proprietary intelligence and optimize costs.
The expanded platform includes five cloud-native data blueprints, support for fine-tuning open models like GR00T and QWEN, and Cosmos 3 Nano variants that enable up to 2x faster inference.