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@faun shared a link, 1 year ago

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Explainable AI Needs Explainable Infrastructure

AWS S3 choked, and prediction accuracy took a nosedive. Voilà: an uninvited reminder thatexplainable infrastructureis crucial for genuine AI transparency. It’s not just a hunch—47% of AI downtime stems from these scaffolding snafus. Luckily, warriors likeOpenTelemetryandGrafanastep up, offering a wa.. read more

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@faun shared a link, 1 year ago

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Prompt chaining reimagined with type inference

Graceusesbidirectional type inferenceto simplify prompt chaining. No more wrestling with schema definitions. Think: less JSON, more wizardry... read more

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@faun shared a link, 1 year ago

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How to Build an Agent

Craft a code-editing agent in under 400 lines. It's just an LLM, a loop, and some enhanced tokens. No rocket science here—just solid, hands-on engineering... read more

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@faun shared a link, 1 year ago

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Open source AI models favor men for hiring, study finds

Open-source AI's at it again. Picks men over women. Shocking, right? EnterLlama-3.1, the rebel. It ignores gender in 6% of cases, which is a small but mighty improvement. Yet, even the upgraded models can't shake the gender wage gap. TakeMinistral, for instance, slapping an 84 log point penalty on w.. read more

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@faun shared a link, 1 year ago

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Perplexity CEO says its browser will track everything users do online to sell 'hyper personalized' ads

Perplexity'snew browser,Comet, prowls beyond its app, sniffing out user data for targeted ads. It mirrors Google's relentless data quests. In a plot twist, they're joining forces withMotorolato sneak their app onto every Razr straight from the factory... read more

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@faun shared a link, 1 year ago

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Agents in your software factory: Introducing the LLM primitive in Dagger

Daggerjust cranked its engine into overdrive with nativeLLMintegration. Now, AI agents can rev through your CI/CD workflows, automating tasks like code reviews with impressive flair. The new configuration lets LLMs jive with programmable building blocks in your code, all securely sandboxed. Consider.. read more

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@faun shared a link, 1 year ago

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A DOGE recruiter is staffing a project to deploy AI agents across the US government

Anthony Jancsoaims to unleashAI agentson more than 300 tasks across federal fronts. Translation: watch out, 70k jobs might vanish. Unsurprisingly, not everyone's cheering; brace for the fireworks... read more

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@faun shared a link, 1 year ago

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v1.33: Mutable CSI Node Allocatable Count

Kubernetes v1.33hits the scene swinging with an alpha feature that's shaking things up: dynamic volume limits. CSI drivers now sharpen pod scheduling accuracy while kicking outdated capacity errors to the curb... read more

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@faun shared a link, 1 year ago

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v1.33: New features in DRA

Kubernetes Dynamic Resource Allocation (DRA)is shaking up device management. Expect tools likeDriver-owned Resource Claim Statusfor tracking device data like a hawk, andPartitionable Devicesto squeeze max juice from resources. Keep an eye out: DRA goes full throttle in v1.34, making device handling .. read more

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@faun shared a link, 1 year ago

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ngrok is also now your Kubernetes ingress

ngrok's Kubernetes Operatortakes the tangle out of K8s networking. Picture this: labyrinthine paths shrink into tidy URLs, and traffic feels the firm hand ofTraffic Policy. Get ready forv1.0. It promises shiny, new features and bids farewell to "edges" in favor of a sleek focus on endpoints. Expect .. 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.