Brookfield just launched an ambitious plan to acquire up to $100 billion in AI infrastructure, teaming up with NVIDIA. Its AI cloud unit, Radiant, will build AI factories based on the NVIDIA DSX blueprint, designed to be Vera Rubin-ready for rapid deployment as demand surges.
xAI just struck a major framework agreement with Saudi Arabia's HUMAIN to build its first large-scale compute hub outside the United States. The 500 MW+ facility will pack roughly 18,000 NVIDIA GB300 GPUs to train next-gen Grok models, while rolling out Grok nationwide across government and enterprise systems. It marks a massive win for the Kingdom's push to become a global AI powerhouse.
Anthropic just expanded its partnership with Microsoft, bringing Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 to Microsoft Foundry in public preview. Azure enterprise customers can deploy Claude through existing Azure agreements, while Excel's Agent Mode now lets users tap Claude to build spreadsheets and generate formulas. It removes procurement hurdles for teams wanting frontier reasoning inside Microsoft's ecosystem.
NVIDIA just unveiled Apollo, a family of open AI physics models designed to speed up scientific and industrial simulation. The models cover domains like semiconductors, fluid dynamics, and climate modeling, using architectures like neural operators and transformers. Industry giants like Siemens, Synopsys, and Cadence are already integrating them to run real-time simulations in seconds.
Microsoft CEO Satya Nadella just published a manifesto urging businesses to build their own AI-native capabilities rather than blindly transferring value to Big Tech. Citing Bill Gates' classic definition of a platform, Nadella argued the AI boom must be positive-sum, expanding industries like coding tenfold instead of driving zero-sum hype. Why it matters: He claims the real test of AI isn't record tech valuations, but whether ordinary sectors like pharma and farming see radical transformation.
Nvidia just swept all seven tests in the latest MLPerf Training v5.1 benchmarks, standing as the only platform to submit results across the entire suite. Powered by the new Blackwell Ultra-based GB300 NVL72 system and industry-first NVFP4 precision, a cluster of over 5,000 GPUs trained Llama 3.1 405B in a record 10 minutes. Why it matters: Nvidia is aggressively widening its hardware moat, showing generational jumps in scaling that competitors are still struggling to match.
SoftBank just sold its entire $5.83 billion stake in Nvidia as it doubles down on ChatGPT maker OpenAI. The Japanese tech giant offloaded 32.1 million shares in October to help finance a planned $22.5 billion investment in OpenAI, insisting the exit is about freeing up cash rather than cooling on AI valuations.
Famed "Big Short" investor Michael Burry just took massive bearish positions against Nvidia and Palantir, buying over $1B in put options through his hedge fund. Burry posted warnings comparing today's AI spending surge to the dot-com bubble, prompting Palantir CEO Alex Karp to fire back and call the short "bats–t crazy." Why it matters: Even as tech leaders tout endless growth, prominent contrarian investors are actively wagering on a harsh valuation reset.
Nvidia and startup Starcloud just launched an 80GB H100 GPU into orbit aboard a SpaceX Falcon 9 rocket to see if data centers can truly work in space. The chip is 100 times more powerful than any computer ever flown and will process radar images and run a Google LLM in orbit. If successful, orbital computing could bypass Earth's land, power, and water bottlenecks entirely.
Oracle and NVIDIA just unveiled the OCI Zettascale10 computing cluster, a massive infrastructure play delivering up to 16 zettaflops of peak AI compute. Powered by next-gen NVIDIA GPUs and Spectrum-X Ethernet, it is designed to interconnect millions of GPUs while natively baking NVIDIA NIM and AI Enterprise directly into Oracle's cloud console and flagship database.
NVIDIA just started shipping DGX Spark, a compact desktop AI supercomputer powered by its Grace Blackwell GB10 superchip. It packs 1 petaflop of compute and 128GB of unified memory, allowing developers to run inference on 200B parameter models right on their desks. Jensen Huang even recreated history by hand-delivering one of the first units to Elon Musk at SpaceX.
Nvidia just launched Newton, an open-source GPU-accelerated physics engine co-developed with Google DeepMind and Disney Research, alongside its new Isaac GR00T N1.6 humanoid foundation model. Newton simulates messy, complex physical interactions like walking on snow or handling fragile objects. It gives developers a unified stack to train physical AI in simulation and deploy it safely to real robots.
Factory just raised $50 million in Series B funding while fully rolling out Droids, autonomous software development agents that topped the Terminal Bench leaderboard. Unlike tools locked to a specific IDE, Droids work across CLI, Slack, and browsers to handle refactoring, reviews, and incident response. Why it matters: It shifts AI engineering from autocomplete to full-lifecycle autonomy without breaking existing workflows.
Nvidia just open-sourced its Audio2Face technology, releasing the underlying models, SDK, and complete training framework. The tool analyzes audio to generate real-time facial expressions and lip-syncing for 3D digital characters. This lets game and virtual avatar developers customize and deploy high-fidelity character animations without building facial rigs from scratch.
NVIDIA and OpenAI just announced a landmark partnership to deploy at least 10 gigawatts of AI systems powered by millions of GPUs. Backing the rollout, NVIDIA plans to progressively invest up to $100 billion as capacity comes online. The first gigawatt will deploy in late 2026 on the upcoming Vera Rubin platform to power OpenAI's push toward superintelligence.
NVIDIA and Intel just announced a landmark partnership to co-develop custom data center and PC processors using NVLink. Intel will manufacture custom x86 CPUs for NVIDIA's AI platforms and build PC chips integrating RTX GPU chiplets, backed by a $5 billion equity investment from NVIDIA. The deal tightly marries the dominant x86 ecosystem with NVIDIA's AI compute engine.
Streamlabs just partnered with Inworld and Nvidia to launch the Intelligent Streaming Agent, an AI tool that acts as a 3D co-host, live producer, and tech assistant. It handles live scene-switching, auto-clips victory moments, and alerts streamers if their mic is muted. Solo creators can now run broadcast-level production right from the Streamlabs Desktop app.
NVIDIA just submitted its first MLPerf Inference v5.1 results for the Blackwell Ultra architecture via the GB300 NVL72 rack-scale system. It swept performance records across newly added benchmarks like DeepSeek-R1 and Llama 3.1 405B, delivering roughly 5x higher per-GPU throughput than previous Hopper-based systems.
NVIDIA just introduced Rubin CPX, a new chip system built for massive AI inference workloads like video generation and software coding. By packing video decoding, encoding, and inference onto a single platform, it cuts multi-chip bottlenecks for tasks demanding 1M+ token contexts.
OpenAI is reportedly teaming up with Broadcom to mass-produce its own custom AI chips next year for internal workloads. Broadcom just disclosed a mystery $10 billion chip order that analysts widely pin on OpenAI. Much like Google and Amazon, the ChatGPT maker is moving in-house to slash skyrocketing infrastructure costs and loosen Nvidia's grip.
