AI & Tech Newsletter

AI Agents Are Thirsty for Power

Silicon Valley is shifting away from chatbot queries toward a future filled with resource-intensive agentic AI—and it's driving the data center buildout.

Nvidia is the central bank of AI

https://archive.ph/kt50V

GPT-6 Astra appears to show a "step change" in spatial reasoning based on early benchmarks

In a new robotics benchmark, GPT-6 Astra shows major gains in spatial understanding. On StationeryBench, the model completed 7 out of 100 tasks with dual-arm robots, while competitor MolmoAct2 couldn't finish a single one. A researcher calls it a "step change in spatial…

Nvidia wants to pour up to $10 billion into Anthropic's record-breaking IPO

Nvidia is in talks to invest up to $10 billion in Anthropic's planned IPO, Reuters reports. At a target valuation of $2 trillion, it would be the largest IPO in history. Most of that money will likely end up right back at Nvidia in chip orders. The article Nvidia wants to pour…

I spent $4,000 on a robot dog from China

On a sunny morning in June, I walked to work with a quadruped robot beside me. I’ve never gotten more attention from strangers. A bunch of people snapped pictures of my robot dog. Several people asked me questions. Was it mine? (Yes.) Did I build it? (No.) Was it being used for…

Mecka AI nears $500M valuation in Sequoia-led deal amid rush for robot training data

The round for the two-year-old startup is coming together months after Mecka announced its Series A.

The Waymo effect: how AI is quietly making research less collaborative

Jensen Huang explains why Nvidia will grow an astounding 70% next year

Nvidia has its finger in every pie, and sees another year of plenty in its future, Jensen Huang says. But, he insists, its deals are not circular.

Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

Manufacturing floors, warehouses and production lines rarely stay fixed — tasks change, layouts shift and new products arrive, and most robots can’t keep up without significant reprogramming. Skild AI’s new S1 robot foundation model helps address this, designed to learn…

Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies

The global robotaxi market — physical AI’s first commercial breakthrough — is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world’s busiest and most complex…

High-Throughput Structure Prediction with BioNeMo Inference Runtime

Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA... Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist…

d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment

AI inference chipmaker d-Matrix today announced it will use NVLink Fusion to connect its next-generation Raptor XPUs to NVIDIA’s AI infrastructure platform — joining a growing roster of ecosystem partners. By connecting Raptor to NVIDIA NVLink scale-up and Spectrum-X scale-out…

Powering AI is an architecture problem

On July 22, 2026, a transmission line fault in Ashburn, Virginia—the heart of the world’s largest data center cluster—knocked more than 3 gigawatts of load off the grid in seconds. And it wasn’t the first time. Two years earlier, a single failed surge arrester dropped roughly 60…

From Wafer-Out to First Token: Codifying Supply Chain Expertise with Nemotron and Palantir Foundry

NVIDIA has one of the largest and most complex supply chains in the world, and its performance is measured from wafer-out to first token. The interval is in two... NVIDIA has one of the largest and most complex supply chains in the world, and its performance is measured from…

Aussie neolab building AI operating system raises $10m

Some of Australia’s top AI minds have raised $10 million for a new venture building the missing natural language layer that lets large language models safely and reliably control robots and other complex systems. Anton van den Hengel, Stephen Gould and Paul Dalby debuted…

CUDA Toolkit 13.4 Adds Windows on Arm Support and Greater Control over Shared GPUs

Every NVIDIA CUDA Toolkit release adds functionality and performance improvements that help developers get more from NVIDIA GPUs and the broader NVIDIA software... Every NVIDIA CUDA Toolkit release adds functionality and performance improvements that help developers get more…

NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC

At the IBC conference, running Sept. 11-14 in Amsterdam, the creative, technology and business communities are coming together to turn ideas into action and discuss innovations across the media and entertainment industries. More than 44,000 attendees from 170+ countries are…

How GPT-5.6 Sol helps run quantum computing experiments

See how an MIT researcher uses GPT-5.6 Sol with Codex to autonomously run quantum computing experiments, analyze results, and calibrate qubits.

Introducing CUDA Rust: Two Tracks for Writing GPU Kernels

In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and... In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are…

The complex corporate web behind a $3.2 billion AI data center

In early June, a fire broke out in a still-unfinished building at the Lake Mariner data center in Somerset, New York, exposing just how little the local fire department knew about what it was walking into. Firefighters reportedly found no working alarm, no suppression system…

Building a Memory-Driven Agent with NVIDIA NemoClaw

Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts without this context must reconstruct it... Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts…

Frontier Reasoning Reaches the Edge: How to Deploy and Optimize Models on NVIDIA Jetson

Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of multi-step reasoning were too large to run... Running reasoning and agentic AI at the edge has been harder than it needs to be. Until recently, models capable of…

Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026

Frontier intelligence is going local. At IFA 2026, NVIDIA, Microsoft and its partners are teaming up to provide faster inference and new tools that make agents easier to set up and run locally on NVIDIA hardware. New compact NVIDIA RTX Spark Windows PCs are also coming in…

NVIDIA PAIR Virtual Inference Router Expands Available Compute on Your Local Network

AI agents are learning to do more by working together. A lead agent can break a complex task into smaller jobs and assign those jobs to specialized subagents.... AI agents are learning to do more by working together. A lead agent can break a complex task into smaller jobs and…