Unleash AI Performance: How Chiplets and Smart Networks Are Democratizing Custom Silicon by Arvind Sundararajan
🧠Neuromorphic Chips
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The hidden technology that's supercharging AI and high-performance computing
xda-developers.com·16h
🏗️AI Infrastructure
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MIT’s Survey On Accelerators and Processors for Inference, With Peak Performance And Power Comparisons
semiengineering.com·10h
🏗️AI Infrastructure
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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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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
🏗️AI Infrastructure
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Samsung and Nvidia to build an AI megafactory
siliconangle.com·17h
💪ARM Architecture
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·11h
🏗️AI Infrastructure
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Advanced 3D IC Heterogeneous Integration Analysis via Bayesian Optimization and AI-Driven Defect Mapping
👥Digital Twins
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Big Tech keeps splurging on AI. The pressure is ramping up to show why - CNN
news.google.com·13h
🖥computers
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Custom Intelligence: Building AI that matches your business DNA
aws.amazon.com·11h
🏗️AI Infrastructure
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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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Fungus: The Befunge CPU(2015)
🍄Mycelium Networks
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·17h
📱Edge AI
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Scaling is the New “Just Add More RAM” — Why AI Needs a New Algorithm, Not a Bigger Wallet
🏗️AI Infrastructure
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AMD Radeon AI PRO R9700 Performance For OpenCL Workloads
phoronix.com·2d
🖥computers
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How Well Does RL Scale?
🏗️AI Infrastructure
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Where to Buy or Rent GPUs for LLM Inference: The 2026 GPU Procurement Guide
🏗️AI Infrastructure
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