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@kala shared a link, 12 hours ago

FAUN.dev()

Why system architects now default to Arm in AI data centers

Architects rebase infrastructure torack-levelsystems. They anchor designs onArm NeoverseCPUs. Goal: balance energy, thermals, memory bandwidth, and sustained throughput. Benchmarks showGraviton4(Neoverse) outperforms comparableAMDandIntelEC2instances on price/performance for generative AI, DB, ML, a.. read more

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@kala shared a link, 12 hours ago

FAUN.dev()

Claude now creates interactive charts, diagrams and visualizations

Claude (beta) renders inline, temporary charts, diagrams, and visualizations in chat viaClaude Visual Composer. Visuals stay editable on request. Enabled by default. Claude can opt to generate visuals or follow direct prompts. Integrates withFigma,Canva, andSlack... read more

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@environmentalbit3940 started using tool werf , 22 hours, 55 minutes ago.

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@environmentalbit3940 started using tool VictoriaMetrics , 22 hours, 55 minutes ago.

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@environmentalbit3940 started using tool SaltStack , 22 hours, 55 minutes ago.

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@environmentalbit3940 started using tool Python , 22 hours, 55 minutes ago.

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@environmentalbit3940 started using tool Pulumi , 22 hours, 55 minutes ago.

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@environmentalbit3940 started using tool Kubernetes , 22 hours, 55 minutes ago.

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@environmentalbit3940 started using tool Grafana , 22 hours, 55 minutes ago.

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@environmentalbit3940 started using tool Go , 22 hours, 55 minutes ago.

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.