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@faun shared a link, 6 months ago

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AI didn’t kill Stack Overflow

Stack Overflow once buzzed with collective brainpower. But then, it got too wrapped up in reputation points, a full-on leaderboard obsession. This detour dimmed its shine. It turns out, platforms flourish on real teamwork, not just gamified dick measuring contests. As AI sweeps through the coding wo.. read more

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@faun shared a link, 6 months ago

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From Zero to Hero: Build your first voice agent with Voice Live API

TheVoice Live APIditches the clutter of juggling models. One API call, and voilà—real-time,natural-sounding bots. It’s harnessed over WebSocket, keeping everything sharp and efficient... read more

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@faun shared a link, 6 months ago

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We rewrote large parts of our API in Go using AI: we are now ready to handle one billion databases

Tursooverhauled its API withGoand AI, gunning for 1 billion databases. Think big, act smart. They squeezed every byte by adopting string interning. No more in-memory maps—they swapped them for aSQLite-backedLRU cache. The result? Leaner memory usage and hassle-free proxy bootstrapping... read more

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@faun shared a link, 6 months ago

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Linear Programming for Fun and Profit

Modal’s "resource solver" hacks cloud volatility. It taps into thesimplex algorithmto snag cheap GPUs. Scale-ups? Lightning-fast. Savings? In the millions... read more

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@faun shared a link, 6 months ago

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LLM Optimization: LoRA and QLoRA

Learn how LoRA and QLoRA make it possible to fine-tune huge language models on modest hardware. Discover the adapter approach for scaling LLMs to new tasks—and why quantization is the next step in efficient model training... read more

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@faun shared a link, 6 months ago

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Gaining Strategic Clarity in AI

AI Opportunity Treewelds cutting-edge tech to raw business value. Meanwhile, theAI System Blueprintknits tech tightly to stakeholder priorities. Lean models? They fuse teams, squash doubt, and thrust AI into action with exhilarating speed... read more

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@faun shared a link, 6 months ago

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Building MCP Servers Like a Pro (With a Little Help from yfinance and LLMs)

Hook LLMs to real-time stock data with MCP + yfinance—see how to build, test, and deploy smarter with help from LLMs... read more

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@faun shared a link, 6 months ago

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New AI innovations that are redefining the future for software companies

Azure AI Foundrygives developers the power to masterfully control AI agent workflows and streamline decision-making through a single API and SDK.Agentic DevOpselevates AI agents beyond mere coding assistants, morphing GitHub Copilot into a formidable dev partner eager to wrestle with code reviews an.. read more

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@faun shared a link, 6 months ago

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Rust is Officially in the Linux Kernel

Rust struts into Linux 6.15with the flashy entrance of theNOVA DRM driver.No subtlety here; it's gunning for Nvidia's crown and promising a jetpack for those next-gen RTX beasts. Meanwhile,Fornjot CADwhispers sweet nothings to tinkerers: model anything your Rusty heart desires, straight from code to.. read more

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@faun shared a link, 6 months ago

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How To Structure Terraform Deployments At Scale

Scalrcracks the admin whip with a sharp, flexible hierarchy inTerraform. It lets dev teams roam free in their own isolated territories. Usinginheritance and reusable moduleslike a seasoned parent, it kills bottlenecks and spikes code efficiency... read more

Slurm Workload Manager is an open-source, fault-tolerant, and highly scalable cluster management and scheduling system widely used in high-performance computing (HPC). Designed to operate without kernel modifications, Slurm coordinates thousands of compute nodes by allocating resources, launching and monitoring jobs, and managing contention through its flexible scheduling queue.

At its core, Slurm uses a centralized controller (slurmctld) to track cluster state and assign work, while lightweight daemons (slurmd) on each node execute tasks and communicate hierarchically for fault tolerance. Optional components like slurmdbd and slurmrestd extend Slurm with accounting and REST APIs. A rich set of commands—such as srun, squeue, scancel, and sinfo—gives users and administrators full visibility and control.

Slurm’s modular plugin architecture supports nearly every aspect of cluster operation, including authentication, MPI integration, container runtimes, resource limits, energy accounting, topology-aware scheduling, preemption, and GPU management via Generic Resources (GRES). Nodes are organized into partitions, enabling sophisticated policies for job size, priority, fairness, oversubscription, reservation, and resource exclusivity.

Widely adopted across academia, research labs, and enterprise HPC environments, Slurm serves as the backbone for many of the world’s top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.

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