AMD just acquired World Labs, the spatial AI startup founded in 2024 by AI pioneer Fei-Fei Li. Li will join AMD as Executive Vice President and Chief Scientist, reporting directly to CEO Lisa Su. The deal pairs World Labs' physical-world foundation models with AMD's hardware ecosystem to challenge Nvidia on full-stack embodied intelligence.
AMD just unveiled its 6th Gen EPYC 9006 server CPUs built on TSMC's 2nm Zen 6 architecture, packing up to 256 cores and 512 threads per socket. AMD claims the chips deliver a 174% geomean performance leap over Intel Xeon 6980P in agentic AI pipelines like orchestration and database retrieval.
AMD just launched Helios, a massive rack-scale AI platform packing 72 Instinct MI455X GPUs to rival Nvidia's Vera Rubin NVL72. The system offers 2.9 exaflops of FP4 compute and 31 TB of HBM4, with AMD claiming a 15% edge in compute and 50% more memory capacity. Heavyweights like Microsoft, OpenAI, and Anthropic have already signed on.
AMD and Cerebras just teamed up on a disaggregated AI inference solution, pairing AMD Helios rackscale systems with the Cerebras Wafer-Scale Engine. AMD tackles heavy prompt processing while Cerebras handles ultra-fast token decoding, promising up to 5x higher tokens per second per watt. It is built for real-time agentic workflows and launches on Cerebras Cloud in H2 2026.
OpenAI just teamed up with NVIDIA, AMD, Broadcom, Intel, and Microsoft to release MRC, a new networking protocol for AI supercomputers. Published through the Open Compute Project, it sprays packets across hundreds of paths and routes around failures in microseconds. It is already powering massive GB200 clusters to train frontier models without disruption.
AMD just announced a massive multi-year partnership with Meta to deploy up to 6GW of AMD Instinct GPUs, kicking off with an initial 1GW rollout in the second half of 2026. The deal includes custom silicon based on AMD’s MI450 architecture, next-gen Venice EPYC CPUs, and performance-based warrants for Meta to acquire up to 160 million AMD shares. Why it matters: Meta is aggressively diversifying away from Nvidia to secure power and slash infrastructure costs.
Fei-Fei Li’s spatial AI startup World Labs just raised a massive $1B round, powered by a $200M strategic investment from design software titan Autodesk. The deal connects World Labs' generative 3D world models with Autodesk’s creative pipelines, initially targeting gaming and film production. Why it matters: Moving generative AI from flat 2D visuals into physics-aware 3D environments marks the industry's next big leap.
AMD and OpenAI just announced a massive deal to deploy 6 gigawatts of AMD GPUs for next-gen AI infrastructure. The rollout kicks off in the second half of 2026 with an initial 1-gigawatt deployment of Instinct MI450 chips. AMD is also granting OpenAI warrants for up to 160 million shares tied to delivery milestones.
Microsoft just made Windows ML generally available, letting developers deploy local ONNX models directly across AMD, Intel, Nvidia, and Qualcomm chips. Windows now automatically handles execution providers in the background, shaving hundreds of megabytes off app bundle sizes. It brings real-time, privacy-first local AI to Windows 11 24H2 PCs.
Nvidia and AMD just agreed to pay the U.S. government 15% of their revenue from AI chip sales to China. President Donald Trump said he originally demanded 20% before Jensen Huang negotiated a 5% discount. The deal walks back recent bans on chips like the H20 and opens the door for a trimmed-down Blackwell model to enter China.
Intel's new CEO Lip-Bu Tan reportedly conceded to employees that the company has fallen out of the top 10 semiconductor makers and that it is "too late" to catch Nvidia in AI model training. Facing massive losses and layoffs, Intel plans to abandon the training race and redirect its focus to edge AI on PCs and autonomous agents.
AMD just acquired Sacramento-based photonics startup Enosemi to bolster its in-house AI hardware development, with terms kept under wraps. The move centers on co-packaged optics (CPO), which fuses optical transceivers directly into switch silicon to kill off bulky pluggable transceivers. Why it matters: Optical interconnects are essential for scaling next-gen AI clusters, letting AMD better take on Nvidia's unified rack systems.
OpenAI CEO Sam Altman, AMD's Lisa Su, and Microsoft's Brad Smith just testified before the U.S. Senate on winning the global AI race. Altman framed AI as bigger than the internet and pushed for massive energy and computing buildouts, while executives warned that overly strict export controls risk pushing foreign buyers toward Chinese rivals.
Stability AI just teamed up with AMD to release ONNX-optimized versions of Stable Diffusion 3.5 and SDXL, engineered specifically for Radeon GPUs and Ryzen AI APUs. The new builds run up to 3.8x faster than standard PyTorch models while keeping full image quality intact. It is a major local AI performance win for AMD hardware users, ready to drop into ONNX Runtime workflows or Amuse 3.0.
Microsoft just rolled out its exclusive Copilot Plus PC features to Intel and AMD devices via the latest Windows 11 update. The update brings real-time Live Captions, Paint Cocreator, and Photos AI editing beyond Qualcomm chips. The widely discussed Recall feature, however, still lacks a general rollout date.
AMD just previewed its next-gen Radeon RX 9070 and 9070 XT GPUs at CES, built on a new 4nm RDNA 4 architecture. The biggest shift is FSR 4, which now relies on machine learning upscaling powered by dedicated on-die AI accelerators. Both cards drop in Q1, though specs and prices remain under wraps.
xAI just closed a massive $6 billion Series C funding round, pushing its valuation to $45 billion. Backed by Nvidia, AMD, and Sequoia, the fresh cash will help double its 100,000-GPU supercluster and accelerate the rollout of its next-generation Grok models.
AMD just released and open-sourced Nitro Diffusion, a pair of one-step text-to-image models based on Stable Diffusion 2.1 and PixArt-Sigma. Trained on AMD Instinct MI250 accelerators, they match full-step visual quality in a single inference step for both data centers and edge PCs. Code and weights are now up on Hugging Face and GitHub.
The world’s second-fastest supercomputer, Frontier, just simulated the observable universe at an unprecedented scale using 9,000 AMD-powered nodes. By calculating dark matter and gas dynamics rather than simple gravity, the 1.4-exaFLOP system completed hydrodynamic modeling roughly 300 times faster than expected. Why it matters: Exascale computing is smashing scientific simulation ceilings, setting up massive compute gains for future AI and climate models.
AMD just launched Amuse 2.2 Beta, bringing support for Stable Diffusion 3.5 to Ryzen AI 300 and Radeon 7000 hardware. The update introduces offline high-quality modes and XDNA super-resolution, boosting native output resolutions up to 2048x2048 pixels. Why it matters: Local generative AI on everyday AMD laptops is finally getting fast, painless, and sharp.
