Cerebras Systems has officially launched Qwen3‑235B, a cutting-edge AI model with full 131,000-token context support, setting ...

It was only a few months ago when waferscale compute pioneer Cerebras Systems was bragging that a handful of its WSE-3 engines lashed together could run circles around Nvidia GPU instances based on ...

Cerebras achieves its speed advantage through a novel chip architecture that keeps entire AI models on a single wafer-sized processor, eliminating the memory bottlenecks that plague GPU-based systems.

The partnership brings together NinjaTech's proprietary AI models with Cerebras's wafer-scale architecture to deliver unprecedented speed.

According to Cerebras, this architecture allows WSEs to achieve over 10 times faster training and inference than an 8-GPU Nvidia system.

Cerebras Systems today announced the launch of Qwen3-235B with full 131K context support on its inference cloud platform. This milestone represents a breakthrough in AI model performance, combining ...

Cerebras contends that Groq is using 8-bit quantization to hit their performance targets, which reduces the model size, compute overhead, and memory pressure at the expense of some loss in accuracy.

NinjaTech AI, a Silicon Valley-based agentic AI company, today announced: Super Agent: A revolutionary all-in-one General Purpose AI Agent with ...

Cerebras Systems is differentiating itself from Nvidia through its unique chip architecture. While AMD and Cerebras are both expanding, Nvidia is still likely to remain the chip king.

According to Cerebras, this architecture allows WSEs to achieve over 10 times faster training and inference than an 8-GPU Nvidia system.

According to Cerebras, this architecture allows WSEs to achieve over 10 times faster training and inference than an 8-GPU Nvidia system.