A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.
Updates and recent posts about Slurm..
ย Activity
@kala added a new tool INTELLECT-3 , 5ย months ago.
ย Activity
@devopslinks added a new tool Lustre , 5ย months ago.
Course
@eon01 published a course, 5ย months, 1ย week ago
Founder, FAUN.dev
Course
@eon01 published a course, 5ย months, 1ย week ago
Founder, FAUN.dev
Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
Course
@eon01 published a course, 5ย months, 1ย week ago
Founder, FAUN.dev
Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
Course
@eon01 published a course, 5ย months, 1ย week ago
Founder, FAUN.dev
Link
@anjali shared a link, 5ย months, 1ย week ago
Customer Marketing Manager, Last9
Instrument Jenkins With OpenTelemetry
Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.
Course
@eon01 published a course, 5ย months, 1ย week ago
Founder, FAUN.dev
End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector
The full journey from nothing to production
Story
@laura_garcia shared a post, 5ย months, 1ย week ago
Software Developer, RELIANOID
๐ฅ ๐๐น๐ฎ๐ฐ๐ธ ๐๐ฟ๐ถ๐ฑ๐ฎ๐ ๐ฎ๐ ๐ฅ๐๐๐๐๐ก๐ข๐๐: ๐๐ ๐ฐ๐น๐๐๐ถ๐๐ฒ ๐ฃ๐ฟ๐ผ๐บ๐ผ๐๐ถ๐ผ๐ป๐ ๐๐ฟ๐ฒ ๐๐ถ๐๐ฒ! ๐ฅ
This year, weโre taking Black Friday to the next level โ with ๐๐ฎ๐ถ๐น๐ผ๐ฟ๐ฒ๐ฑ ๐ฝ๐ฟ๐ผ๐บ๐ผ๐๐ถ๐ผ๐ป๐ designed specifically for our users, partners, and customers, who will receive their ๐ฒ๐ ๐ฐ๐น๐๐๐ถ๐๐ฒ ๐ผ๐ณ๐ณ๐ฒ๐ฟ ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐น๐ tomorrow, perfectly matched to their environment โก๏ธ ๐ ๐๐๐๐๐ผ๐บ๐ถ๐๐ฒ๐ฑ ๐ข๐ณ๐ณ๐ฒ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐๐๐ฒ๐ฟ๐ ๐ก๐ฒ๐ฒ๐ฑ. ๐ ๐๐ผ ๐๐ผ๐ ๐๐ฎ๐ป๐ ๐๐ผ ๐ธ๐ป๐ผ..
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 commandsโsuch as srun, squeue, scancel, and sinfoโgives users and administrators full visibility and control.
Slurmโs 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 worldโs top supercomputers, offering a battle-tested, flexible, and highly configurable framework for large-scale distributed computing.
