Recursive, the AI research company led by Richard Socher, has signed a multi-year, $410 million agreement with Amazon Web Services to run its automated AI research system, putting the bulk of its funding into a single cloud contract. The company came out of stealth in May 2026 with $650 million at a $4.65 billion valuation, which makes the AWS commitment close to two-thirds of everything it has raised. Recursive's own site puts the team at more than 25 people across San Francisco and London… [...]
Amazon Web Services is threading its AI-powered security infrastructure directly into the coding environments built by two of its fiercest rivals — and in doing so, it is making a bold bet that cont [...]
Amazon Web Services on Tuesday launched one of the most consequential enterprise AI plays in the company's 20-year history, simultaneously bringing OpenAI's most powerful models to its Bedro [...]
Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run their AI on a familiar base of hyperscalers and model [...]
Amazon Web Services on Tuesday announced a new class of artificial intelligence systems called "frontier agents" that can work autonomously for hours or even days without human intervention, [...]
Cerebras Systems, the Silicon Valley chipmaker that built the world's largest commercial AI processor, erupted onto the Nasdaq on Wednesday, opening at $350 per share — nearly double its $185 I [...]
The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement.Alexia Jolicoe [...]
One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult t [...]
Generative AI’s rapid transition from text-based chatbots to high-fidelity media—spanning images, video, spatial 3D, and audio—has exposed a glaring bottleneck in the modern tech stack: infrastr [...]
Across 170 enterprises, AI infrastructure has moved decisively into production — two-thirds now run AI workloads live and three in 10 run them at scale — while the ability to account for what that [...]