Enhancing Workflow Efficiency via Dynamic Task Prioritization & Adaptive Resource Allocation
📋Task Queues
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Rethinking Networking for the AI/ML Era
lukew.com·5h
📋Task Queues
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Technology Short Take 189
blog.scottlowe.org·9h
🏰Capability Machines
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Challenging the Fastest OSS Workflow Engine
📡Erlang BEAM
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·6h
⚡Cache-Aware Algorithms
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The hidden technology that's supercharging AI and high-performance computing
xda-developers.com·11h
💾Zig Allocators
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How fast can an LLM go?
🗺️Region Inference
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Show HN: GPU-accelerated sandboxes for running AI coding agents in parallel [video]
🔀SIMD Programming
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Libevpl – event loop engine with unified abstractions for network and block I/O
📜Bytecode
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A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation
arxiv.org·18h
🎪Actor Frameworks
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Getting Hardware for an "Always On" Server/Node
stacker.news·12h
🏰Capability Machines
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Implemented arc-lightning with Rust
🔒Rust Borrowing
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Myths Programmers Believe about CPU Caches
🧠Memory Models
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How to Build Your First MCP Server using FastMCP
hackernoon.com·16h
🎯Ring Buffers
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Where to Buy or Rent GPUs for LLM Inference: The 2026 GPU Procurement Guide
🗺️Region Inference
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Notes from RIPE 91
blog.apnic.net·23h
🌐Network Protocols
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