cerebras - Tech News from Simmons Systems

Tech News from Simmons Systems

cerebras

A collection of 6 posts

AI Chip Startups Draw Record Billions to Challenge Nvidia's Inference Dominance

Investors pour billions into AI chip startups aiming to dethrone Nvidia by building specialized hardware for AI inference. These emerging companies argue that purpose-built architectures offer significant energy and cost savings over repurposed gaming GPUs.

Benchmark Raises $225M in Special Vehicles to Back Cerebras AI Chips

Benchmark Capital invests at least $225 million into AI chipmaker Cerebras through two specially created funds. The backing supports Cerebras as it reaches a $23 billion valuation and secures a massive computing deal with OpenAI.

Nvidia CEO Jensen Huang Embraces AI Inference Shift to Protect Chip Dominance

Nvidia reports massive quarterly earnings but faces investor concerns about new AI training methods. CEO Jensen Huang insists the company is well-positioned for the growing shift toward AI inference computing.

OpenAI Explored Buying AI Chip Startup Cerebras in 2017

Newly released legal filings reveal that OpenAI once considered acquiring Cerebras, a custom AI chip startup currently pursuing an IPO. Co-founder Ilya Sutskever suggests routing the purchase through Tesla, though the deal ultimately falls through.

Hot Chips 2021 Showcases New AI Accelerators From Graphcore, Cerebras, and SambaNova

Hot Chips 2021 features detailed architecture reveals from leading machine learning chipmakers Graphcore, Cerebras, and SambaNova. These companies present innovative silicon designs aimed at accelerating AI workloads beyond traditional GPU capabilities.

Cerebras Unveils Trillion-Transistor Wafer-Scale Chip After Solving Massive Design Hurdles

Cerebras emerges from stealth to launch the Wafer Scale Engine, a massive chip with 1.2 trillion transistors designed to accelerate deep learning. The company overcomes significant manufacturing and design challenges by using an entire silicon wafer as a single processor.