Cybras WSE-3 launches with 900,000 coors to rival Nvidia in the AI ​​Training – News Day

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By BL ALI



Cerebs system, company located in California, opened a large engine of California (WSE-3), the processor created for large Ai Training. Announced on March 13, 2024, The WSE-3 includes 900,000 ai-ai-Sormp-Storm and approximately 4 trillion Transistors. Cybras find competition in the hardware market, serving companies such as NVIDIA with this release. Paul’s specific information and the implications reflects its focus on using AI.

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Detailed processor

WSE-3 is built in Silicon Wafer, Around the dinner sizeUse TsMC’s 5NM process. It offers 125 PEAKFLOPs of Peak Ai Performance, Features 44 gigabytes of Sramit-Chip, and offers 21 Petabytes per second. Compared to WSE-2, new chip chips while keeping energy consumption. Cerebras calls it AI models can be trained with parameters to 24 trillion. Its design Avoid the necessary interventions of the necessary system GPU-GPUTo cut patience. May 25th by the researchers from Sandia, Los Alamos, and Nuclear safety safety; The work twice the wise-3 indicates that it can match this. These qualities are targeted means the need for a modern AI work.

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Effective in AI Training

Powers WSS-3 CS-3 CS-3 CS-3 CS-3Goals need to grow for resources to train large language forms, AI versions, and scientific simulations. Cybras reports performance update 210-20-2 210 H100 in NVIDIA’s NVIDIAAlthough this lacks independent standards. Cerebras Specify the processor’s architecture Training and energy use compared to traditional GPU groups.

The company has Expand its infrastructure through the Galaxy Condor ProjectSupercomputers currently offers 16’s verse compute all over several US sites. The plan is in place Increase this capacity to 36 revealed at the end of 2025. These efforts are intended to support the vast AI management organizations.

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Application and context of industry

WSE-3 launches with increasing demand for special AI hardware. CS-3 system, ride by WSE-3, is Name that one of the “200 best inventions of 2024” And has been used in areas such as Drug discovery and drug modeling. National Lab and Power Company is among its adopters. Research Institute Note that its display can be done Accelerate the project recent restrictions limited to the hardware.

The cost details and integration for WSE-3 remains not to activate The questions about its accessible access is accessible beyond the main organization. Meanwhile, competitors are AMD and Intel have been progressing on their AI hardware proposal, add pressure to the market. WSS-3 rates may influence the long-term role.

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Source: Dryer