What happens when AI starts building itself?
Richard Socher's new startup has raised $650 million to develop an AI capable of indefinite self-research and improvement, with a commitment to shipping products.
Read on TechCrunch →ScaleOps secures $130M to optimize AI computing infrastructure, addressing GPU shortages and high cloud costs.
Why it matters
This funding round highlights the significant infrastructure challenges and costs associated with the rapid growth of AI. ScaleOps' approach to real-time infrastructure automation is crucial for making AI development and deployment more accessible and sustainable, potentially lowering barriers to entry and accelerating AI innovation by addressing critical resource constraints.
AI needs a lot of powerful computers, which are expensive and hard to get. ScaleOps just got a lot of money to build smarter systems that make these computers work better and cost less for AI companies.
Richard Socher's new startup has raised $650 million to develop an AI capable of indefinite self-research and improvement, with a commitment to shipping products.
Read on TechCrunch →Khosla Ventures has invested $10 million in Synthetic, a new startup by Ian Crosby, which is developing a fully autonomous AI bookkeeping service for other startups.
Read on TechCrunch →Wirestock raised $23M to supply creative multimodal datasets, including images, videos, and 3D content, to AI labs.
Read on TechCrunch →