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1.
Is the future of data centers portable? Runware builds a pod to find out (techcrunch.com)
2.
Micro-Agent: Beat Frontier Models with Collaboration Inside Model API (news.ycombinator.com)
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OpenAI, Broadcom Develop Custom Chip for AI Inference (feeds.content.dowjones.io)
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OpenAI reveals its first AI processor: Jalapeño (theverge.com)
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$200 'socketed' Nvidia AI GPU for servers hacked into a PCIe card with custom PCB and 3D-printed cooling — modded Tesla V100 SMX data center GPU runs AI LLMs and is more efficient than many modern midrange offerings in AI inference (tomshardware.com)
6.
Cheaper tokens, bigger bills: The new math of AI infrastructure (venturebeat.com)
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Google’s latest Tensor processors take an environment-friendly route, but what about the cost? (androidauthority.com)
8.
Intel Arc Pro B70 and Arc Pro B65 GPUs bring 32GB of RAM to AI and pro apps — bigger Battlemage finally arrives, but it's not for gamers (tomshardware.com)
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Arm jumps 13% in premarket after saying first in-house chip set to generate $15 billion in revenue (cnbc.com)
10.
Startup Gimlet Labs is solving the AI inference bottleneck in a surprisingly elegant way (techcrunch.com)
11.
Meta's new MTIA lineup joins hyperscalers' unified push for dedicated inferencing chips — companies diversify AI chips in effort to diversify from sole reliance on Nvidia (tomshardware.com)
12.
How to watch Jensen Huang’s Nvidia GTC 2026 keynote — and what to expect (techcrunch.com)
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How to watch Jensen Huang’s Nvidia GTC 2026 keynote (techcrunch.com)
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Meta reveals four new MTIA chips built for AI inference — to be released on a six-month cadence (tomshardware.com)
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Meta rolls out in-house AI chips weeks after massive Nvidia, AMD deals (cnbc.com)
16.
Five Things to Know About Nvidia’s $20 Billion Licensing Deal (feeds.content.dowjones.io)
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