>
Venezuelan migrant influencer who sparked fury with TikTok squatting tips is a fugitive...
Moderna Vaccine Recipients Have Greater Risk Of Developing Chronic Condition: Study
China's Xi Meets With US CEOs, Including Blackstone's Schwarzman...
Dollar Down 20% Since 2020, Biden Blames Greed
Scientists Close To Controlling All Genetic Material On Earth
Doodle to reality: World's 1st nuclear fusion-powered electric propulsion drive
Phase-change concrete melts snow and ice without salt or shovels
You Won't Want To Miss THIS During The Total Solar Eclipse (3D Eclipse Timeline And Viewing Tips
China Room Temperature Superconductor Researcher Had Experiments to Refute Critics
5 video games we wanna smell, now that it's kinda possible with GameScent
Unpowered cargo gliders on tow ropes promise 65% cheaper air freight
Wyoming A Finalist For Factory To Build Portable Micro-Nuclear Plants
High-Speed Railway Progresses Towards 200-mph Dallas-Houston Line
27 Ft-tall 3D-printed Structure Built by New Robot | ICON's Multi-Story Robotic Construction Sys
They had 0.86 PetaFLOPS of performance on the single wafer system.
The problem was to solve a large, sparse, structured system of linear equations of the sort that arises in modeling physical phenomena—like fluid dynamics—using a finite-volume method on a regular three-dimensional mesh. Solving these equations is fundamental to such efforts as forecasting the weather; finding the best shape for an airplane's wing; predicting the temperatures and the radiation levels in a nuclear power plant; modeling combustion in a coal-burning power plant; and or making pictures of the layers of sedimentary rock in places likely to contain oil and gas.
The massive speedup was enabled by:
1. The memory performance on the CS-1.
2. The high bandwidth and low latency of the CS-1's on-wafer communication fabric.
3. A processor architecture optimized for high bandwidth computing.
Cerebras CS-1 has the world's largest chip. It is 72 square inches (462 cm2) and the largest square that can be cut from a 300 mm wafer. The chip is about 60 times the size of a large conventional chip like a CPU or GPU. It provides much-needed breakthrough in computer performance for deep learning.
They have delivered CS-1 systems to customers around the world, where they are providing an otherwise impossible speed boost to leading-edge AI applications in fields ranging from drug design to astronomy, particle physics to supply chain optimization, to name just a few applications.