Summary: VAST Data raised $1 billion in a Series F at a $30 billion valuation, more than tripling from $9.1 billion, with Drive Capital and Access Industries co-leading and Nvidia, Fidelity, and NEA participating. More than $500 million is secondary capital. The company reports $4 billion in cumulative bookings, $500 million-plus in committed ARR, and […]<br /> This story continues at The Next Web [...]
Processing 200,000 tokens through a large language model is expensive and slow: the longer the context, the faster the costs spiral. Researchers at Tsinghua University and Z.ai have built a technique [...]
For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]
Your web gateway can't see it. Your cloud access broker can't see it. Your endpoint protection can't see it. And yet 95% of organizations experienced browser-based attacks last year, ac [...]
In short: AI coding startup Cursor (Anysphere) is in talks to raise at least $2 billion at a $50 billion valuation, co-led by Andreessen Horowitz, Thrive Capital, and Nvidia, nearly doubling its Novem [...]
When an AI agent loses context mid-task because traditional storage can't keep pace with inference, it is not a model problem — it is a storage problem. At GTC 2026, Nvidia announced BlueField- [...]
In short: Anthropic has received investor offers valuing the company at approximately $800 billion, more than doubling its $380 billion valuation from a $30 billion funding round closed just two month [...]
Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]
It’s the question on everyone’s minds and lips: Are we in an AI bubble?It's the wrong question. The real question is: Which AI bubble are we in, and when will each one burst?The debate over w [...]
Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the mo [...]