Unleash AI Performance: How Chiplets and Smart Networks Are Democratizing Custom Silicon by Arvind Sundararajan
🧠Neuromorphic Chips
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Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
arxiv.org·1d
📱Edge AI
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Multimodal LLM Assistant for Chip Physical Design (National Taiwan Univ., UCLA, NVIDIA)
semiengineering.com·2d
🧠Neuromorphic Chips
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Extropic claims its new AI chip (TSU) is 10,000x more energy-efficient than GPUs
🧠Neuromorphic Chips
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Raising the Bar on ML Model Deployment Safety
uber.com·14h
📱Edge AI
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AMD Radeon AI PRO R9700 Performance For OpenCL Workloads
phoronix.com·1d
🖥computers
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NVIDIA and Oracle to Build US Department of Energy’s Largest AI Supercomputer for Scientific Discovery - NVIDIA Newsroom
news.google.com·2d
🏗️AI Infrastructure
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How Well Does RL Scale?
🏗️AI Infrastructure
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Sparse Adaptive Attention “MoE”: How I Solved OpenAI’s $650B Problem With a £700 GPU
🏗️AI Infrastructure
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Motherboard marketing has officially gone too far
xda-developers.com·4h
🖥computers
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Artificial neurons that replicate biological function for improved chips
🧠Neuromorphic Hardware
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Expanding our NVIDIA partnership: Now shipping A4X Max, Vertex AI Training, and more
cloud.google.com·2d
🏗️AI Infrastructure
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AI Is Burning Through Graphics Cards
🏗️AI Infrastructure
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Nvidia reveals Vera Rubin Superchip for the first time — incredibly compact board features 88-core Vera CPU, two Rubin GPUs, and 8 SOCAMM modules
🖥computers
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AI Model Growth Outpaces Hardware Improvements
spectrum.ieee.org·15h
🏗️AI Infrastructure
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AMD Could Enter ARM Market with Sound Wave APU Built on TSMC 3nm Process
🧠Neuromorphic Chips
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