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Reducing CUDA Binary Size to Distribute cuML on PyPI
developer.nvidia.com·3h
🛠️Build Optimization
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Turning a Tinybox Green v2 into a Private AI Home Server
owain.bearblog.dev·4h·
Discuss: Hacker News
🏠Self-hosting
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Why is Kubernetes getting so popular? - Stack Overflow
stackoverflow.blog·10h
🌐Distributed systems
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IPC Mechanisms: Shared Memory vs. Message Queues Performance Benchmarking
howtech.substack.com·6h·
Discuss: r/programming
🔄Cache Coherence
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Monitor your Kubernetes operators to keep applications running smoothly
datadoghq.com·20h
💫IO_uring
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Igalia's Work Improving The Linux Kernel For Helping Steam Play Gaming On ARM64
phoronix.com·6h
📟Terminals
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Performance Analysis Methodology
brendangregg.com·17h
⚡Systems Performance
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Getting up to speed with WGPU
kristof.bearblog.dev·10h
⚙Rust Macros
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Progressive Loading: A Classic Pattern to Scale Modern AI
pub.towardsai.net·16h
⏳Lazy Loading
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Virtualizing NVidia HGX B200 GPUs with Open Source
ubicloud.com·5h
🖥GPUs
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Defending Against Model Weight Exfiltration Through Inference Verification
lesswrong.com·5h
🏗️LLM Infrastructure
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ravikiranvm/aws-finops-dashboard: A terminal-based AWS cost and resource dashboard built with Python and the Rich library. It provides an overview of AWS spend ...
github.com·2h
💻CLI Tools
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Another watercooled 4x GPU server complete!
reddit.com·13h·
Discuss: r/LocalLLaMA
🖥GPUs
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System Observability: Metrics, Sampling, and Tracing
entropicthoughts.com·12h·
Discuss: Hacker News
⚡Systems Performance
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Live Update Orchestrator — The Linux Kernel documentation
docs.kernel.org·17h
💫IO_uring
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Securely deploying AI agents - Claude Docs
platform.claude.com·3h
🛡️AI Security
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mkloubert/codex-docker-env: A template for any kind of project that runs OpenAI's Codex in a safe Docker Compose environment.
github.com·7h
📦Cargo
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KeygraphHQ/shannon: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-awa...
github.com·11h
🏗️LLM Infrastructure
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I scored 100+ architectures on "Hardware Friction." Why KANs fry tensor cores and MoEs have a context trap.
reddit.com·9h·
Discuss: r/LocalLLaMA
⚡Hardware Acceleration
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Your Laptop Is Now an AI Co-Worker: How Local LLMs Supercharge Real Work
pub.towardsai.net·16h
🏗️LLM Infrastructure
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