Learn how industries are using energy-efficient computing to scale #AI, improve products and services, and reduce emissions and operational costs. Read the blog here. https://
nvda.ws/42uKQro
AI HARDWARE
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Energy-Efficient Computing Scaling AI While Reducing Emissions
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AI-Powered Smart Glasses Integration with Real-Time Answers
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We're teaming up with @brilliantlabsAR to integrate our real-time answers into Frame, their AI-enhanced glasses. You can ask about what you see, instantly — all in your line of sight.
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MLX Framework for Apple Silicon Machine Learning
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Yeah I used MLX, it’s amazing! You find all what you need here. It’s designed for Apple Silicon https://
github.com/ml-explore/mlx
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Outtakes AI Generates Immersive Worlds for Apple Vision Pro
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Outtakes AI posted a demo of its app showcasing the ability to generate immersive worlds on the Vision Pro.
— Rowan Cheung (@rowancheung) 8 février 2024
Apple's headsets + AI are going to enable some truly insane experiences. The Holodeck is becoming a reality.pic.twitter.com/iJ9eKNSzMCOuttakes AI posted a demo of its app showcasing the ability to generate immersive worlds on the Vision Pro. Apple's headsets + AI are going to enable some truly insane experiences. The Holodeck is becoming a reality.
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Model Trained Locally on M3 Max Over 9000 Iterations
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This model was trained locally on M3 Max over 9k iterations. Link to the model
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Vision Pro Missing Features: AI, Zoom, and Object Recognition
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Here are useful functions that are still missing from the Vision Pro: zoom into small and distant objects using the cameras, out-of-body mode, object recognition, voice activated AI assistant (Siri is crap) that integrates with Vision OS functionality, iPhone screen integration.
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GPU utilization troubleshooting: why only 30% despite full memory
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yet here's proof that my GPU utilization is still trash. if forward or backward is ~always happening according to the profiler, and memory is decently full now (at least over 50%)… …then how is my GPU being used only on average 30% of the time? what am i missing here?! help
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PyTorch GPU Utilization Issues: Profiling Forward Backward Pass
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alright y'all. still having GPU utilization issues and against my better judgement i broke out the PyTorch profiler. posting a few screenshots. doesn't seem like I/O is an issue (no gaps) how is GPU util so bad (~30%) if either forward or backward is running almost always?
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NVIDIA Failure Analysis Team Investigates Silicon Board Mysteries
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Meet our dedicated failure analysis team — a small, passionate crew of engineers who investigate and solve silicon and board-level mysteries. #NVIDIAlife