Nov. 15, 2023, 4 p.m. | Kyle Wiggers

TechCrunch techcrunch.com

Most companies developing AI models, particularly generative AI models like ChatGPT, GPT-4 Turbo and Stable Diffusion, rely heavily on GPUs. GPUs’ ability to perform many computations in parallel make them well-suited to training — and running — today’s most capable AI. But there simply aren’t enough GPUs to go around. Nvidia’s best-performing AI cards are reportedly […]


© 2023 TechCrunch. All rights reserved. For personal use only.

ai ai chips ai models chatgpt chips cobalt companies designing diffusion enterprise free funding generative generative-ai generative ai models gpt gpt-4 gpu gpus microsoft microsoft ignite running stable diffusion them training turbo

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote