Cerebras Systemsconsidered the world’s fastest artificial intelligence chip Wafer Scale Engine 3′ü (WSE-3) was launched. This chip 4 trillion transistors And 900 thousand artificial intelligence cores owner.
Cerebras Systems’ WSE-3: The world’s fastest AI chip
Built on 5nm TSMC process WSE-3, Cerebras CS-3 125 in artificial intelligence supercomputer petaflop can reach peak artificial intelligence performance. This new chip 24 trillion It can efficiently train large artificial intelligence models up to parameters without the need for partitioning.
Features and functions
- 4 trillion transistors and 900,000 AI cores.
- 125 petaflops at peak AI performance.
- 44GB internal SRAM.
- 1.5TB, 12TB and 1.2PB as external memory options.
- Scalable structure up to 2048 CS-3 systems.
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Andrew Feldman, CEO of Cerebras, stated that this third-generation spirit level AI chip is purpose-built for cutting-edge AI work and will help solve big AI challenges. WSE-3developed 5nm process technology It is manufactured using and has 44GB of internal SRAM. Additionally, the chip’s memory can be 1.2 petabytes can be expanded up to .
Energy efficiency and software support
WSE-3 also stands out in terms of energy efficiency; It offers twice the performance of the previous model with the same power consumption. Cerebras Software Framework is now PyTorch 2.0′so developers can do more with less code.
WSE-3 also introduced hardware acceleration for dynamic and unstructured sparsity, which can speed up training times by up to eight times. Cerebras’ WSE-3 chip is making an impact across a variety of industries, from business to governments to international cloud services.
Partnerships with major institutions are leading to significant advances in AI research and patient care. Cerebras, Collaboration with G42 It plans to build some of the world’s largest artificial intelligence supercomputers.
Condor Galaxy 3 of a project called 8 exaFLOP AI It is expected to offer processing power. WSE-3 represents a major step forward in the advancement of artificial intelligence technology. With its extraordinary computing power, scalability and energy-efficient performance, it becomes an indispensable tool for anyone who wants to harness the full power of AI.
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