Access the power of the next generation of AI chips through one of our strategic partnerships and achieve the computational speed needed for your AI applications.
Fast, scalable, and energy-efficient
The best chips designed for AI applications
Over 10 x faster tokens/second/user*:
*Compared to standard GPUs.
19 kW per rack, air cooled – max. 11 kW for inference
10 x more efficient compared to current GPU solutions
The third wave of AI introduces you to the possibilities of neuromorphic computing: a brain-like, massively parallel computing technology with asynchronous processing. Combined with statistical AI, the hybrid SpiNNaker 2 system delivers supercomputing at large scale for real-time AI applications.
Marvel at the size of Cerebras’ WSE-3 – a wafer-scale chip with 4 trillion transistors providing the speed and inference needed for future AI applications.
State-of-the-art output speed (566 tokens/s) and latency (time to first token: 0.23 s) on Llama 3.1 70B
Seamlessly move from training 1B to 1T parameter models. Achieve linear performance improvements when scaling your cluster from one to thousands of Cerebras systems.
WAIYS can rely on more than 10 years experience in designing and building cooling systems for server hardware – from single servers or racks to a complete data center. By using liquid cooling and heat recovery, excessive waste heat can be reutilized for other purposes such as district heating or water desalination.
If you want to know more about exciting opportunities to integrate AI hardware into your systems in the most sustainable, energy-efficient manner – get in touch!
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