Nvidia just teamed up with Apple and Google to power Apple's Private Cloud Compute using Blackwell GPUs with Confidential Computing. The expanded infrastructure runs on Google Cloud to handle next-gen Apple Intelligence features, with hardware-rooted encryption ensuring no one can peek at your data.
Nvidia just launched Nemotron 3 Ultra, an open 550B MoE model with 55B active parameters tailored for complex multi-turn agent workflows. It combines Mamba and Transformer layers to slash agentic task costs by up to 30% while pushing 5x higher throughput than comparable open models. Nvidia also rolled out a 4B safety guardrail and a sub-100ms multilingual speech model.
Microsoft just unveiled the Surface RTX Spark Dev Box, a compact desktop PC engineered specifically for local-first AI development. Packing an NVIDIA RTX Spark superchip with 128GB of unified memory, the box delivers up to 1 petaflop of compute to run 120B+ parameter models on your desk without racking up cloud API bills. It hits the U.S. later this year.
Microsoft just transformed Windows 11 into a playground for AI agents at Build 2026. The update introduces Microsoft Execution Containers (MXC) to box in and manage local agents safely, built-in WSL containers, and an Intelligent Terminal with live agent debugging. It also packs new on-device SLMs dubbed Aion 1.0 alongside heavy AI dev hardware. It is a clear push to keep agent workflows local and secure.
Nous Research just launched Hermes Desktop in public preview, letting users run its Hermes Agent natively on local machines without relying on the cloud. First demoed during Jensen Huang's GTC keynote, the app brings the complete agent system directly to your own hardware.
Perplexity just announced a hybrid local-server inference orchestrator for its Personal Computer tool. Instead of making you choose between local privacy and cloud horsepower, the system automatically routes sensitive tasks like finances to on-device silicon while offloading heavy lifting to frontier server models. The Intel-partnered feature rolls out this July.
Microsoft is preparing to unveil a wave of major updates at Build, led by its first in-house reasoning model, MAI-Thinking-1. The company is also set to showcase a distraction-free Windows 11 developer experience and a unified Copilot super app. Why it matters: Microsoft is leaning heavily into local AI compute on Windows to win back developer trust.
NVIDIA just unveiled Cosmos 3 at GTC Taipei, an open-world foundation model built to give robots and autonomous vehicles physical common sense. Using a mixture-of-transformers setup, it combines visual reasoning with native action prediction, spitting out joint angles and trajectory points directly. It is now open-sourced on Hugging Face to help embodied AI predict before it moves.
Microsoft just unveiled the Surface Laptop Ultra, packing an NVIDIA Blackwell RTX GPU, up to 128GB of unified memory, and 1 petaflop of AI compute. The machine is designed to run 120-billion-parameter models directly on device and features a 2,000-nit mini-LED display. It launches later this year.
NVIDIA just unveiled the DGX Station for Windows at GTC Taipei, cramming the GB300 Grace Blackwell Ultra Desktop Superchip into a deskside workstation. It packs up to 748GB of coherent memory and 20 petaflops of FP4 compute, enabling local inference for 1-trillion-parameter models and hundreds of simultaneous agents. Systems from Dell, HP, and ASUS roll out in Q4.
NVIDIA just expanded its Hyperion autonomous driving ecosystem to accelerate Level 4 robotaxi deployments across the globe. Foxconn plans to launch commercial fleets in Taiwan by 2028, while Uber and Autobrains are prepping a Munich rollout later this year. Why it matters: NVIDIA wants to become the indispensable turnkey computing and safety stack powering commercial robotaxi fleets worldwide.
NVIDIA just unveiled the Isaac GR00T Reference Humanoid Robot at GTC Taipei, an open blueprint that pairs a Unitree H2 Plus chassis and Sharpa tactile hands with its new Jetson Thor AI computer. It covers the full stack from simulation to real-world deployment, aiming to save researchers from cobbling together fragmented hardware and software. Stanford, ETH Zurich, and Ai2 are already on board, with hardware shipping late 2026.
NVIDIA just unveiled Vera, its first CPU purpose-built for AI agents and modern data centers, and it is already in full production. Built with 88 custom Olympus cores, the processor delivers 1.8x faster task completion than traditional x86 chips. AI leaders like OpenAI, Anthropic, and ByteDance are already lining up to adopt systems arriving this fall.
NVIDIA and Microsoft just unveiled RTX Spark, a new superchip purpose-built for personal AI agents on Windows PCs. Packing up to 128GB unified memory and 1 petaflop of AI compute, it can run 120-billion-parameter models locally. RTX Spark laptops and desktops from Asus, Dell, and Lenovo will arrive this fall.
Nvidia just open-sourced SANA-Streaming, a 2B diffusion model that edits minute-long high-res videos in real time while they play. By combining linear recurrent blocks with attention, it hits 24 FPS at 720p on an RTX 5090 while keeping source motion locked in. Code and weights are now up on GitHub and Hugging Face.
NVIDIA just introduced Gamma World, an interactive world model that scales generative simulation from single-agent setups to multiple players and robots. Operating at 24 FPS without pre-built geometry, it renders shared environments from coordinated multi-agent actions. Why it matters: multiplayer games and embodied robotics can now run entirely inside generative worlds.
Nvidia just introduced LocateAnything, a visual grounding framework that lets you pinpoint and crop any object in an image using plain text descriptions. By decoding bounding boxes in parallel rather than token-by-token and training on a massive 138-million-sample dataset, it boosts dense object detection speeds by up to 10x while maintaining high localization accuracy.
Nvidia just introduced PiD, a pixel diffusion decoder designed to replace traditional VAEs and eliminate blurry high-resolution AI images. By turning decoding and upsampling into a four-step diffusion process, it renders 2K images from latents in under one second on an RTX 5090. Why it matters: It wipes out the slowest, most blur-prone bottleneck in modern image generation.
Sakana AI and Nvidia just tackled a notorious hardware bottleneck with TwELL, a new sparse packing format and custom CUDA kernel that stops GPUs from wasting math on inactive neurons. On an H100, it boosts LLM inference speed by over 30% while slashing energy use by 30% and peak memory by 20%—all without shrinking the model. Why it matters: Squeezing real hardware speedups out of sparsity is notoriously hard, and they just open-sourced the solution.
Anthropic just struck a deal with SpaceX to take over all capacity at the Colossus 1 data center, securing over 220,000 NVIDIA GPUs. The massive compute boost allows Anthropic to instantly double Claude Code's rate limits for paid plans, eliminate peak-hour restrictions, and raise Claude Opus API caps, while also exploring future orbital AI compute.
