we’re building over 5 gigawatts of Stargate compute with Oracle:
HARDWARE
-
US AI Sector Needs 50 Gigawatts Power by 2028
By
–
Training the world’s most capable AI models in the United States is a national security imperative. But this will take substantial investments in energy and computing power. We estimate America’s AI sector will need at least 50 gigawatts of electrical power by 2028.
-
OpenAI and Oracle Launch 4.5GW Stargate AI Data Center Expansion
By
–
It's official: we're developing 4.5 gigawatts of additional Stargate data center capacity with Oracle in the U.S (for a total of 5+ GWs!). And our Stargate I site in Abilene, TX is starting to come online to power our next-generation AI research.
-
Stable Diffusion Models Now Supported AMD Ryzen 300
By
–
Multiple Stable Diffusion models are now supported in Amuse 3.1 with @AMD Ryzen 300 Series processors! You can learn more here
-
MIT handheld interface trains robots for manufacturing tasks
By
–
A new handheld interface from MIT gives anyone the ability to train a robot for tasks in fields like manufacturing. The versatile tool can teach a robot new skills using one of three approaches: natural teaching, kinesthetic training, & teleoperation: https://
bit.ly/4nTAw6F -
Top robotics innovations: hot-swap humanoids and robot self-training
By
–
Top stories in robotics today: – UBTech’s hot-swappable humanoid
– Robots grow by eating other robots
– China’s Unitree readies its IPO – MIT’s device lets anyone train robots
– Quick hits on other robotics news Read more: https://
robotnews.therundown.ai/p/robot-swaps-
its-own-battery-works-24-7
… -
Meta Plans Manhattan-Sized Data Center in Major AI Push
By
–
Zuckerberg annonce que Meta va construire un centre de données de la taille de Manhattan dans sa nouvelle offensive sur l’IA ; ils prévoient d’y investir des centaines de milliards. LA taille de tout Manhattan… C’est dingue l’argent qui coule dans les data centers
-
Edge AI: Balancing Latency, Efficiency and Power Optimization
By
–
“Edge AI isn’t just about accuracy — it’s about balancing latency, efficiency & power. Model choice, quantisation & hardware‑aware compilation make real‑time edge inference possible.” Great guide via @Wevolver Your thoughts? https://
eu1.hubs.ly/H0lTnWm0 -
AI Infrastructure and Startup Investment Opportunities Ahead
By
–
1) AI infrastructure(data centers, land, power) 2) Creating or investing in AI startups. Every market is up for grabs and we're going to see the biggest acquisitions ever. I'm getting more involved in both. 😉
-
Kimi K2 on Mac Studios: Premium AI Hardware Setup Cost
By
–
Closest you can get right now is probably Kimi K2 on a pair of Mac Studios, for about $20,000 https://t.co/9hzx5y3nmJ
— Simon Willison (@simonw) 20 juillet 2025Closest you can get right now is probably Kimi K2 on a pair of Mac Studios, for about $20,000