NVIDIA just open-sourced a transport protocol that powers OpenAI's Blackwell clusters. It opened MRC, a new RDMA transport protocol for massive AI training clusters. Instead of pushing GPU traffic through one fragile path, MRC spreads a single connection across multiple network
AI HARDWARE
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Anthropic’s Compute Constraint Versus OpenAI’s Position
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exactly. Anthropic's biggest constraint is compute, by far. OpenAI has – in this regard – a much better position
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Conversation between Nvidia and HWChase17
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ndu.digital/productpage -
World’s Largest Chip Fabrication Facility Under Consideration
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This is one of several locations under consideration for what will be the largest and most advanced chip fabrication facility in the world
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QNAP Launches QAI NAS Server for LLM and GenAI Workloads
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QNAP Unveils QAI NAS Edge AI Storage Server for LLM and GenAI! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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LLM pricing per token mirrors SaaS era, buy a GPU
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Charging $ per 1M tokens
Is basically the SaaS era of LLMs That’s why I keep saying Buy a GPU -
OpenAI Accelerates AI Agent Phone Development Ahead of IPO
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Major leaks about the new OpenAI Phone: -OpenAI is reportedly accelerating development of its first AI agent phone, with mass production potentially starting in the first half of 2027. -One possible reason is strategic timing: the device could support a stronger IPO narrative
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SK Hynix and Samsung Lead in AI Supply Chain Value
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I'm European, it feels good to fight back and hold the line
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Texas confirms massive blue collar talent bottleneck for AI infrastructure
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No it literally says 458,900,000 page views and 327,800,000 visitors
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Choose Hardware First, Then the Inference Engine Follows
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You don’t pick an Inference Engine You pick a Hardware Strategy Then the Engine follows Inference Engines Breakdown (Cheat Sheet at the bottom) > llama.cpp
runs anywhere
CPU, GPU, Mac, weird edge boxes
best when VRAM is tight and RAM is plenty
hybrid offload, GGUF,
