Interesting question. Not sure this is possible. However, this also shouldn't be necessary for the book. The code works on both CPU and GPU machines (the code is written that it automatically uses a compatible GPU if available)
COMPUTING
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Tree Attention: GPU-Based Long-Context Decoding for LLMs
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Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters https://
bit.ly/3ZNUMgn #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Enterprise Workloads Cloud Migration and On-Premises Persistence
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If you're interested in enterprise workloads shifting to cloud *and* the stubbornness of workloads remaining on-premises, @cote
's analysis is always thoughtful. I recommend reading this newsletter (and most everything he publishes) -
IBM z16 Launch: Key Differences from z15 Revealed
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How is @IBMZ 16 different from z15? Here is PJ Catalano's elevator pitch at #IBMTechXchange.
— Helen Yu (@YuHelenYu) 1 novembre 2024
It brought back the fond memory of #IBMZ15 launch in #NYC in 2019. That's where I met @avrohomg @StevenDickens3 @Kevin_Jackson @craigmullins
The IBM z16™ represents a significant… pic.twitter.com/xGbdkCBPBLHow is @IBMZ 16 different from z15? Here is PJ Catalano's elevator pitch at #IBMTechXchange. It brought back the fond memory of #IBMZ15 launch in #NYC in 2019. That's where I met @avrohomg @StevenDickens3 @Kevin_Jackson @craigmullins The IBM z16™ represents a significant
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Edge Computing Models: Necessity and Importance
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Its even necessary, to have models that run on the edge
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Google TPU Evolution: SeaStar to JellyFish Hardware Journey
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Amin Vahdat and I gave a brief presentation about the origin and development of Google's TPUs over ~a decade at this week's Google TGIF meeting. Presenter costumes were encouraged, so I went as a SeaStar (codename for TPUv1 ) & Amin went as a JellyFish (codename for TPUv2).
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NVIDIA HOVER: Efficient Motor Skills Learning with 1.5M Parameters
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NVIDIA GEAR lab is breaking new ground. With just 1.5M parameters, HOVER proves that mastering complex motor skills doesn’t require huge models. Using NVIDIA simulation suite, which accelerates physics by 10,000x, humanoids can learn a year’s worth of motion in under an hour. pic.twitter.com/LjWJhw0Fpl
— Chubby♨️ (@kimmonismus) 1 novembre 2024NVIDIA GEAR lab is breaking new ground. With just 1.5M parameters, HOVER proves that mastering complex motor skills doesn’t require huge models. Using NVIDIA simulation suite, which accelerates physics by 10,000x, humanoids can learn a year’s worth of motion in under an hour.
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Oasis: First AI-Generated Real-Time Video Game Without Engine
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> Oasis: First Real-Time Video Game Without a Game Engine! 🎮@DecartAI & @Etched just released Oasis – a fully AI-generated video game running at 20 FPS (frames per second). The model takes keyboard inputs and generates everything – physics, rules, graphics – on the fly,… pic.twitter.com/DU6l3PBfhF
— m_ric (@AymericRoucher) 1 novembre 2024> Oasis: First Real-Time Game Without a Game Engine! @DecartAI & @Etched just released Oasis – a fully AI-generated video game running at 20 FPS (frames per second). The model takes keyboard inputs and generates everything – physics, rules, graphics – on the fly,
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speedAI Revolutionizes Precision Farming With Edge-Optimized AI
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The 4th Agricultural Revolution is here. Our speedAI® technology is revolutionizing #AgTech robotics with edge-optimized AI acceleration – making #precisionfarming possible and practical. Explore the future of sustainable in our latest whitepaper. https://
untether.ai/download-resou
rce/?label=AI+in+Agriculture+Whitepaper&dl=httpswww.untether.aidownloadai-in-agriculture-whitepaper-10-18-24tmstv1729276075
…