>
Father jumps overboard to save daughter after she fell from Disney Dream cruise ship
Terrifying new details emerge from Idaho shooting ambush after sniper-wielding gunman...
MSM Claims MAHA "Threatens To Set Women Back Decades"
Peter Thiel Warns: One-World Government A Greater Threat Than AI Or Climate Change
xAI Grok 3.5 Renamed Grok 4 and Has Specialized Coding Model
AI goes full HAL: Blackmail, espionage, and murder to avoid shutdown
BREAKING UPDATE Neuralink and Optimus
1900 Scientists Say 'Climate Change Not Caused By CO2' – The Real Environment Movement...
New molecule could create stamp-sized drives with 100x more storage
DARPA fast tracks flight tests for new military drones
ChatGPT May Be Eroding Critical Thinking Skills, According to a New MIT Study
How China Won the Thorium Nuclear Energy Race
Sunlight-Powered Catalyst Supercharges Green Hydrogen Production by 800%
They had 0.86 PetaFLOPS of performance on the single wafer system. The waferchip was built on a 16 nanomber FF process.
The WSE is the largest chip ever built. It is 46,225 square millimeters and contains 1.2 Trillion transistors and 400,000 AI optimized compute cores. The memory architecture ensures each of these cores operates at maximum efficiency. It provides 18 gigabytes of fast, on-chip memory distributed among the cores in a single-level memory hierarchy one clock cycle away from each core. AI-optimized, local memory fed cores are linked by the Swarm fabric, a fine-grained, all-hardware, high bandwidth, low latency mesh-connected fabric.
Wafer-scale chips were a goal of computer great Gene Amdahl decades ago. The issues preventing wafer-scale chips have now been overcome.
In an interview with Ark Invest, the Cerebras CEO talks about how they will beat Nvidia to make the processor for AI. The Nvidia GPU clusters take four months to set up to start work. The Cerebras can start being used in ten minutes. Each GPU needs two regular Intel chips to be usable.