
MatX, a chip startup, has designed hardware tailored for Large Language Models (LLMs) to provide significantly more computing power for AI labs. The company aims to enable training of GPT-4 and running ChatGPT on a small startup budget. MatX has garnered investments and support from notable figures in the tech industry, including ex-Google engineers, with a focus on creating chips that outperform Nvidia's GPUs in LLM training.
Really smart, out of the box use of LLMs from @figma. https://t.co/n3FsHjhSGo
Revolutionizing AI Chip Design: The Rise of MatX in Silicon Valley #AI #AIinvestors #AIspecificsiliconchips #AlphabetInc #artificialintelligence #computationalefficiency #DanielGross #Disruption #Electronics #Funding #Google #GPUcentric https://t.co/OK88PJhR4Z https://t.co/cl9RbAneh1
IN 1 HOUR! LLM Observability: Building and maintaining high-performance #LLMapps Covering: - What is #LLMObservability? - What #LLMtesting do you need? - How to monitor your app Featuring Prof. @datta_cs and @_jreini Register: https://t.co/oZUbHBP71Z #LLMOps https://t.co/GMpcJNG8KI
