Welcome to the world of AI-Driven High Performance Computing with SchedMD!
In today’s rapidly evolving technology landscape, the fusion of AI, ML and HPC is revolutionizing the way sites approach complex computing and data-intensive tasks. Harness the potential these groundbreaking technologies allow, with Slurm!
How Can Slurm Help Streamline My HPC Experience?
AI workloads can be unpredictable, but you shouldn’t let that limit your AI potential.
Slurm dynamically adapts to workload changes, harnessing the transformative capabilities of High-Performance Computing (HPC) scheduling to supercharge your AI and ML workflows, reduce processing times, and optimize resource utilization. Take your AI and ML sites to new heights, eliminating resource bottlenecks, optimizing data movement, and unlocking unparalleled performance and efficiency.
Slurm for AI & Machine Learning
First Class GPUs
With first class resource management for GPUs, Slurm allows users to request GPU resources alongside CPUs. This flexibility ensures that jobs are executed quickly and efficiently, while maximizing resource utilization. Maintain this efficiency in AI & ML workloads.
High Throughput & Scalability
Slurm can easily manage performance requirements for small cluster, large cluster, and exascale computer needs. Slurm outperforms competitive schedulers with consistent execution of 500 batch jobs per second. Pair Slurm’s scalability features with AI & ML technology and your computing limits become unprecedented.
Complex Business Rules
Slurm can map to complex business rules and existing organizational priorities, easily establish data governance policies and ensure compliance with industry standards. Our plugin-based architecture makes Slurm adaptable to a variety of conditions that fit your individual organization needs.
Cloud Capabilities
Slurm is not just an on-prem software, but can help sites harness the power of the Cloud. With auto-scaling capabilities, Slurm can automate elastic scaling of instances according to factors like queue depth and job requirements. Slurm can also support hybrid clusters to dynamically offload jobs or to burst nodes into specific cloud projects.
Take Your Computing to the Next Level
Join us on the journey to computational excellence – where innovation meets efficiency, and where Slurm becomes the catalyst for unlocking the full potential of your HPCl workflows. Welcome to a new era of performance and productivity with Slurm!
Praise for SchedMD Support
“We have been a SchedMD support customer for seven years. They’ve always given timely, high quality responses.”
Technical University of Denmark
Slurm for AI & Machine Learning
Artificial Intelligence (AI) and machine learning require enormous datasets and intricate computations that can only be carried out by high-performance computing. Industries that require AI and machine learning increase efficiency, precision, accuracy, and cost savings when using Slurm for their high-performance computing jobs.
Slurm is a job management software that uses small and large Linux clusters. It helps those using AI and machine learning by allocating access to resources, providing a framework for job duration, and managing a queue of pending work. Many see AI and machine learning as the way of the future. Discover how Slurm can also be an integral part of the future by finding out more. Visit SchedMD.com and download Slurm today.
Recent Articles & Publications
AI & Machine Learning FAQs
What security measures does Slurm have in place?
With job and resource isolation capabilities, Slurm allows administrators to define partitions, ensuring that jobs run independently of one another. Partitions ensure sensitive research data is only processed and stored within designated and controlled environments. These isolations help prevent unauthorized access and reduce the risk of data leaks and tampering.
Other checkpoints include comprehensive logging and auditing which tracks user activity, ensuring accountability and traceability in data handling processes. Administrators can also enforce controls and limit access to sensitive research data based on user roles and permissions.
What documentation, training and support resources are available for admin and end users?
SchedMD has a number of services available including:
- Support contracts
- On-site trainings
- Consultations hours
- Custom development
- Configuration Assistance
- Migration Assistance/Proof of Concept
Administrators and users can review Slurm documentation and more information on SchedMD Services.
How does Slurm utilize GPUs?
With first class resource management for GPUs, Slurm allows users to request GPU resources alongside CPUs. This flexibility ensures that jobs are executed quickly and efficiently, while maximizing resource utilization.
Slurm provides features and flexibility that allow for effective GPU resource management including resource allocation, scheduling policies, GPU partitioning, and GPU reporting and monitoring.
It’s important to note that the exact behavior of Slurm in managing GPUs can be customized through its configuration files and policies, making it flexible for various HPC cluster setups.
What monitoring and reporting features does Slurm offer?
Slurm has multiple features and commands in place to help administrators and end users monitor cluster activity, track resource utilization, diagnose performance issues, and integrate with monitoring systems. Learn more about features like squeue, scontrol, sinfo, and more in our Common Slurm Commands blog.
Does Slurm support containerized applications in AI and Machine Learning?
Slurm can support and interact with containers in various ways to manage and execute jobs efficiently.
Slurm supports multiple container runtimes (Docker, Singularity, Shifter) and can be integrated with container orchestrators (Kubernetes, Docker Swarm). Slurm will allocate resources based on job submission requirements and manage the execution of jobs within containers using the specified runtime. The integrated container orchestrator handles the deployment and management of containers across the cluster.
Containers provide isolation between jobs running on the same node, preventing interference and conflicts. Slurm ensures that containers are properly isolated and securely managed within the HPC cluster environment.
Slurm’s support for containers provides users with flexibility in managing and executing jobs in HPC environments, allowing them to leverage container technologies to enhance productivity and resource utilization.
How does Slurm integrate with my site’s existing software and industry tools?
Slurm utilizes REST API, opening a wide array of possibilities for a site’s HPC environment. REST API enables Slurm’s integration with existing software and industry preferred tools. Examples of REST API integrations include:
- Workflow Management systems to orchestrate complex data processing pipelines
- Data analytics platforms to efficiently distribute computational tasks across clusters, dynamically allocating and scaling resources based on workload demands.
- Container orchestration tools to allow users to deploy containerized applications as jobs, manage resources allocation, and scale container instances.
- Monitoring and logging systems to provide administrators with real-time insights on cluster performance, resource utilization, and job execution.
REST API serves as a versatile integration mechanism to enable seamless communication between SLurm and a wide array of tools, empowering users to leverage their HPC resources to the fullest power.
Organize Your Workload Efficiently & Smoothly with SchedMD
Take your efficiency to the next level with Slurm from SchedMD. We can’t wait to do amazing things with you.
