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  4. High-frequency traders invest in AI computing power
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Hardware & Compute

High-frequency traders invest in AI computing power

The Decoder: Wall Street's fastest traders are building data centers and backing chip startups to stay ahead in AI

High-frequency traders like Jane Street and Hudson River Trading are now racing each other for AI computing power. The article Wall Street's fastest traders are building data centers and backing chip startups to stay ahead in AI appeared first on The Decoder.

Get smart on it

High-frequency trading firms are investing heavily in AI computing infrastructure, including building their own data centers, signing major cloud contracts, and funding chip startups. These traders increasingly rely on machine learning to predict market moves, and one executive estimates that compute spending is now ten to twenty times higher than before ChatGPT launched. Industry leaders view rising costs and fast-aging chips as significant risks, though some executives believe avoiding investment in AI infrastructure poses an even greater danger.

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Meta plans up to $95 billion in stock sales to fund its AI buildout

Meta plans to sell new stock to raise money for its AI infrastructure buildout. The article Meta plans up to $95 billion in stock sales to fund its AI buildout appeared first on The Decoder.

Hardware & ComputeOpen story →

SpaceX locks in $40B GPU financing deal with Apollo

SpaceX has locked in a binding commitment for roughly $40 billion in financing to pay for AI chips and related data center equipment, the company disclosed in a regulatory filing Monday. In a statement, SpaceX called it the “largest committed GPU financing” ever.

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Nvidia's DSX POD could cut AI data center setup from six months to as little as 14 days

Nvidia wants AI data centers to ship fully preassembled in containers. The article Nvidia's DSX POD could cut AI data center setup from six months to as little as 14 days appeared first on The Decoder.

Also reported by NVIDIA Blog

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Google Cloud Launches Agent Compute Engine: A MicroVM per AI Agent

Google Cloud has announced Agent Compute Engine, a compute service built specifically for AI agents. Google Agent Compute Engine gives each agent its own hardware-isolated microVM. The sandbox holds zero credentials. The service already powers Gemini as an agent for work tasks. Google unveiled it this week at AGNTCon + MCPCon. Customer preview is targeted for the coming months. The pitch: VM-grade isolation with container-like speed and density. TL;DR Unit: One hardware-isolated microVM

Also reported by The Decoder

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Amazon’s Trainium Takes a Strike at the Training King

Trainium has already proven itself in the realm of inference. Anthropic is running production inference and RL rollouts on Trainium2 and Trainium3. Historically, Trainium has been great for inference but not the best fit for research training. In inference, the model architecture changes at a much slower pace compared to training, where researchers iterate on many different experiments and ablations of model architecture and need a stack that covers a broad API surface. In the past, that is wher

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Nvidia Unveils DSX POD Amid Greenpeace Protest

Nvidia says its DSX POD can slash AI data center deployment times, but its Berlin launch also underscored growing backlash over the industry’s rapid expansion.