Updates and recent posts about Slurm..

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@faun shared a link, 1 year ago

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Empowering Accessibility: Transforming Lives with Lovable.dev and Azure OpenAI

Lovable.devchops down app-building to mere hours with its knack for connectingAzureAPIs through natural language. Forget the weeks-long slog.GPT-4 OmniandAzure OCRtackle everything from expense reporting to advanced voice solutions. AI turns mundane tasks into innovation arenas... read more

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@faun shared a link, 1 year ago

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Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost, and Privacy

xGen-small flips the script.It slashes model size yet juggles 256K tokens like a caffeinated ninja. So much for the old bigger-faster-better mantra. By mixing precise data curation, scalable pre-training, and ironclad privacy, this Salesforce gem rolls out enterprise-ready AI that’s as budget-friend.. read more

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@faun shared a link, 1 year ago

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Getting Started with Semantic Kernel

Semantic Kernelis a developer's best friend, an open-source dynamo for crafting AI apps withlarge language models (LLMs). It cuts through complexity like a hot knife through butter... read more

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@faun shared a link, 1 year ago

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Exploring Google’s Agent Development Kit (ADK)

Google's Agent Development Kit(ADK) cranks up agent creation with LLMs. It dishes out unique agent types, slick orchestration patterns, and a debugging process that's anything but flimsy. Thanks toADK's open-source framework, you can engineer intricate systems that thrive on transparency and auditab.. read more

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@faun shared a link, 1 year ago

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The illusion of conscious AI

Anthropic's Kyle Fishtosses around a bold 15% chance that chatbots might be conscious. Meanwhile,neuroscientistsraise an eyebrow and point out our shaky grasp of how intelligence relates to consciousness... read more

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@faun shared a link, 1 year ago

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HUMAIN and NVIDIA Announce Strategic Partnership to Build AI Factories of the Future in Saudi Arabia

HUMAINjust inked a deal withNVIDIAto spark AI factories in Saudi Arabia, cranking up to500 megawattsvia a colossal sea of GPUs. Picture18,000 NVIDIA GB300 Grace BlackwellAI supercomputers flexing their muscles, crafting massive sovereign AI models. Saudi's digital metamorphosis and Industry 4.0 ambi.. read more

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@faun shared a link, 1 year ago

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Identifying Hidden Cloud Waste in Your Code

Vadim Soloveyblows the whistle on our love affair with so-called "efficient" code. It's smoke and mirrors, he insists. Behind the illusion lurk costly inefficiencies. Solovey demands we shift focus—ditch those endless cloud tweaks for something deeper:code-level fixes. Enter execution profiling and .. read more

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@faun shared a link, 1 year ago

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AI in Incident Management: Balancing Automation & Expertise

AI-driven incident management holds great promise, but what happens when AI fails? Engineers risk losing critical system understanding as AI takes over routine tasks, highlighting the need for human oversight and collaboration in this AI-enhanced future... read more

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@faun shared a link, 1 year ago

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Tales from the cloud trenches: The Attacker doth persist too much, methinks

Hackers snagged some leaked AWS keys and conjured up a "persistence-as-a-service" scheme. They weaved through API Gateways and Lambda like ghostly threads. Dodging revocation? Easy. They whipped up dynamic IAM users faster than you can say "security breach." Telegram buzzed with ConsoleLogin events—.. read more

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@faun shared a link, 1 year ago

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How we optimized LLM use for cost, quality, and safety to facilitate writing postmortems

Postmortem Optimization:Slashing LLM costs while preserving quality and safety. Who said AI can’t spruce up even the most mind-numbing tasks?.. 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.