What SchedMD does

SchedMD is the primary developer and commercial steward of Slurm, the open-source workload manager that schedules compute jobs across large-scale HPC and AI clusters. Founded by Morris Jette and Danny Auble around the Slurm codebase originally created at Lawrence Livermore National Laboratory in 2001, the company maintains the software under GNU GPL v2.0 and extends it with Slinky (Slurm-Kubernetes interoperability) and the newer Slings product for Kubernetes-native GPU workload management. Slurm is used by approximately 60% of Top500 supercomputers and a majority of leading AI labs (Anthropic, Meta, Mistral) and national laboratories, with demonstrated scaling to 30,000 nodes and 8,000+ GPU clusters.

SchedMD monetizes primarily through commercial support and services rather than software licensing, offering Standard Support, Deployment Services (Proof of Concept), On-Site Training, and Technical Account Manager (TAM) contracts sold directly via its website and inside-sales team. Pricing is quote-based with annual and multi-year subscription cadences. In December 2025 NVIDIA acquired SchedMD to integrate Slurm into its AI Enterprise platform alongside Bright Cluster Manager and Mission Control, while committing to keep Slurm open-source and vendor-neutral. The acquisition also catalyzed a flagship partnership with Google Cloud to embed Slurm in the Cluster Director service on Google Kubernetes Engine.

The company's go-to-market blends open-source community adoption (GitHub distribution, TOP500 visibility, HPC conference presence) with direct enterprise sales of support contracts, supplemented post-acquisition by NVIDIA's hardware-aligned distribution channels and cloud-provider partnerships.

Name

SchedMD

Legal name

SchedMD LLC

Website

https://schedmd.com

Company type

Private

Founded year

2001

Operating status

Acquired

Headcount range

11–50 employees

Short description

SchedMD develops and provides commercial support for Slurm, the open-source workload manager used by roughly 60% of Top500 supercomputers and leading AI labs to schedule HPC and large-scale GPU cluster workloads.

Ownership category

akta.pro rank

Product category

HPC Workload Management Software

NAICS

Software Publishers (513210), Computer Systems Design and Related Services (5415)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Compute Resource Management & Scheduling (Cluster/Workload Managers) (HDABADAK)

Keywords

• Workload management software
• HPC scheduling
• Cluster management
• AI infrastructure scheduling
• Kubernetes orchestration

Headquarters

HQ city

Lehi

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales

Revenue model

1. Commercial Support Services: SchedMD provides direct commercial support and development services for Slurm and Slinky, including Standard Support, Deployment Services (Proof of Concept), On-Site Training, and Technical Account Manager (TAM) services. Customers receive direct access to engineers who actively develop Slurm and Slinky with deep HPC and AI expertise.
2. Slurm Open Source (Community): Slurm is distributed as open-source under GNU GPL v2.0 license, providing the community edition that drives adoption and ecosystem growth. Commercial support contracts complement the open-source offering.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels4 records

Core offering

SchedMD develops and maintains Slurm, the open-source workload manager used by approximately 60% of the world's Top500 supercomputers, and Slinky, the open-source toolkit that enables Slurm to interoperate with Kubernetes. The company monetizes these technologies primarily through commercial support services (Standard Support, Deployment Services, On-Site Training, and Technical Account Management) sold directly to enterprise HPC and AI customers.

Product overview

SchedMD offers a portfolio of open-source workload management products centered around Slurm, the market-leading open-source workload manager for HPC and AI. Slurm is the core product, providing hierarchical job scheduling and resource allocation across compute clusters. Slinky extends Slurm by enabling it to run within Kubernetes environments, combining HPC scheduling with cloud-native orchestration. Slings is NVIDIA's branded implementation for large-scale GPU workload management on Kubernetes. Beyond the open-source tools, SchedMD provides commercial support services including Standard Support, Deployment Services (PoC), On-Site Training, and Technical Account Management (TAM), offering direct access to the engineers who actively develop these products.

Differentiator

Problem solved

Functional benefit

Brands

• Slurm: Open-source workload manager built to efficiently manage workloads at massive scales, used by over half of the top one-hundred systems in the TOP500.
• Slinky

Products and services

• Slurm Open-source workload manager built to efficiently manage nearly any workload, delivering proven throughput at massive scales. Uses a hierarchical structure of controller, nodes, and partitions to allocate jobs based on policies and resources.
• Slinky Open-source integration toolkit enabling Slurm clusters to run inside Kubernetes environments, providing broad hardware support for modern heterogeneous data centers.
• Slings NVIDIA-branded implementation for managing Slurm clusters on Kubernetes, supporting large-scale GPU workloads in enterprise environments.
• Standard Support Commercial annual support subscription giving enterprise customers direct access to SchedMD engineers who actively develop Slurm and Slinky, with deep HPC and AI expertise.
• Deployment Services (PoC) Multi-year contract deployment service that helps data center operators implement Slurm and Slinky, from initial setup through proof-of-concept and customization.
• On-Site Training Multi-year contract in-person training delivered at the customer location by SchedMD engineers with deep HPC and AI workload expertise.
• Technical Account Manager (TAM) Annual dedicated technical account management providing ongoing expert consultation and support for enterprise customers running Slurm and Slinky in production.

Quantifiable outcome

• Scales to 30,000 nodes for HPC workloads
• +3 more outcomes

Named customers6 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration4 records

Feature3 records

Partnerships

Two partnerships are on record, tiered flagship and historical.

• Google CloudflagshipTechnology or Integration · 1 December 2025Google Cloud announced Cluster Director with built-in support for Slurm on Google Kubernetes Engine, developed in partnership with SchedMD. The service automates lifecycle management of AI and HPC clusters, integrating Slurm scheduling with Google Cloud GPU instances (A4X, A4X Max powered by GB200 and GB300 chips).
• Lawrence Livermore National LaboratoryhistoricalStrategic or Co-development Partner · 1 January 2001Slurm originated in 2001 as a collaboration between Lawrence Livermore National Laboratory and several technology companies, establishing the foundational development partnership for the workload manager.

Scale indicators5 records

Recent moves5 records

Expansion highlights5 records

Others

• Bright Computing: Bright Cluster Manager (NVIDIA-owned) provides HPC cluster provisioning and management adjacent to Slurm scheduling and now sits alongside it in NVIDIA's stack.
• CoreWeave: CoreWeave is a GPU cloud provider that runs Slurm and Kubernetes-based scheduling for AI clusters; an ecosystem consumer of and adjacent player to Slurm-style scheduling.
• Volcano (CNCF): Volcano is an open-source Kubernetes-native batch scheduler targeting AI/HPC workloads, representing the cloud-native scheduling approach that Slinky aims to bridge.

Emerging players

• Rescale: Rescale delivers cloud HPC orchestration and scheduling for simulation and AI workloads, overlapping with Slurm in managing large-scale compute jobs.
• Determined AI: Determined AI offers a distributed training platform with cluster scheduling for GPU workloads, comparable to Slurm's role in AI training infrastructure.
• Run:ai: Run:ai (also NVIDIA-owned) provides Kubernetes-based GPU orchestration and scheduling for AI workloads, overlapping with Slurm/Slinky in the AI-cluster scheduling niche.
• HashiCorp Nomad: Nomad is a workload orchestrator and scheduler that can manage batch and HPC-style jobs, intersecting with Slurm's resource-scheduling function.

Direct peers

• Altair (PBS Professional / Grid Engine): Altair develops PBS Professional and Grid Engine HPC workload schedulers, directly competing with Slurm for cluster job scheduling in HPC and enterprise environments.
• Adaptive Computing (Moab/TORQUE): Adaptive Computing builds the Moab HPC scheduler and TORQUE resource manager, direct alternatives to Slurm for policy-based job scheduling on supercomputing clusters.

Broad incumbents

• IBM (Spectrum LSF): IBM Spectrum LSF is a long-established commercial HPC workload manager competing head-to-head with Slurm, offered as part of IBM's broader compute portfolio.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat6 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/SchedMD
• GitHubgithub.com/SchedMD/slurm

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about SchedMD