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Best LLM inference providers. Groq vs. Cerebras: Which Is the Fastest AI Inference Provider?
dev.to·5d·
Discuss: DEV
⏱️Real-time Analytics
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
🤖AI
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Apache Spark: The Engine Powering the Modern Data Revolution
netcomlearning.com·3d·
Discuss: DEV
🏗data engineering
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The Multiprocessor Mindset: Safety vs. Liveness (A Beginner’s Guide)
dev.to·5d·
Discuss: DEV
🔄Concurrency
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Talks Worth Watching – Week of 2025-12-22
hftuniversity.com·5d·
Discuss: r/programming
🛡️Memory Safety
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AMD Strix Halo vs Nvidia DGX Spark: Which AI workstation comes out on top?
theregister.com·2d·
Discuss: Hacker News
📈Performance Profiling
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The Anti-Cloud AI Manifesto: Meet “Ratio,” the DSL That Runs Game-Grade Intelligence on a Laptop
hackernoon.com·4d
⚙️Query Compilers
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Autonomous ASIC Root Cause Analysis
semiengineering.com·4d
🔬Code Analysis
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Training Compute-Optimal Large Language Models
paperium.net·5d·
Discuss: DEV
📋Tokei
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Weight Transformations in Bit-Sliced Crossbar Arrays for Fault Tolerant Computing-in-Memory: Design Techniques and Evaluation Framework
arxiv.org·5d
⚡SIMD Optimization
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Build a RAG Pipeline with n8n: Visual Workflows vs. Code-First
blog.does.center·5d·
Discuss: DEV
🔧Data Engineering
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Think Your Python Code Is Slow? Stop Guessing and Start Measuring
towardsdatascience.com·1d
🔬Code Analysis
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Training a Model on Multiple GPUs with Data Parallelism
machinelearningmastery.com·1d
🔢NumPy
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Embedding-Based Tool Selection for AI Agents
zarar.dev·6d·
Discuss: Hacker News
🏗data engineering
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Optimizing LLM inference on Amazon SageMaker AI with BentoML’s LLM- Optimizer
aws.amazon.com·3d
⚙️Query Compilers
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Attention from First Principles
metaworld.me·4d·
Discuss: Lobsters, Hacker News
🔢NumPy
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DesignFutures November 2025: Chiplets, Scalable Verification and New Logic Models
alpinumconsulting.com·4d·
Discuss: DEV
🏛️Lakehouse Architecture
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How to build agentic AI when your data can’t leave the network
blog.logrocket.com·4d
🎮Reinforcement Learning
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PardoX: Processing 640M Rows on a Standard Laptop — The High-Performance Rust ETL Engine
medium.com
·5d·
Discuss: DEV
📊Column Stores
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TPU Architecture Deep Dive: Google's 7 Generations — Introl
introl.io·5d
🏗️Hardware Architecture
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