Clusterfudgebuilt for AI infrastructure teams

Take control of your AI infrastructure with Clusterfudge. Monitor GPU clusters, diagnose hardware issues, optimize resource allocation, and provide seamless tooling for researchers. Eliminate infrastructure complexity so your team can focus on innovation.

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Infrastructure management made simple

Everything platform engineers need

Manage your AI infrastructure from a single platform. Monitor resources, allocate GPUs, track utilization, and support your research teams.

GPU Monitoring

Track GPU usage, memory, temperature and health. Get alerts for hardware issues before they impact your researchers.

Resource Allocation

Allocate GPUs to teams and projects. Monitor utilization and optimize resources to maximize ROI.

Slurm Integration

Seamless integration with Slurm for job scheduling. Monitor queues, job status, and resource usage.

Usage Reporting

Generate detailed reports on GPU utilization, power consumption, and resource allocation to inform capacity planning.

Researcher Tooling

Provide seamless tools for your researchers: web dashboard, VS Code extension, and Python API for launching jobs.

Infrastructure Automation

Automate common tasks like node recovery, disk cleanup, and GPU configuration to reduce operational burden.

Easy setup

Run Clusterfudge in one-line, with zero config and no dependencies.

Sign up

Sign up to get an API key and personalised command to run our agent — Fudgelet.Sign up to get an API key and personalised command to run our agent — Fudgelet.

Run Fudgelet

Run Fudgelet on your compute node. This auto-detects GPUs and allows it to run workloads.Run Fudgelet on your compute node. This auto-detects GPUs and allows it to run workloads.

Launch workloads

Launch notebooks and workstations via the web, or write your own launches using our Python API.Launch notebooks and workstations via the web, or write your own launches using our Python API.

$ curl https://get.clusterfudge.com/run.sh |
 API_KEY=<your-api-key> bash

Resource Management

Optimize resource utilization

Identify underutilized resources, track GPU allocation by team, and make data-driven capacity planning decisions. Our detailed metrics help you maximize the ROI of your AI infrastructure investments and ensure researchers have the resources they need.

Slurm Integration

Streamline job management

Seamlessly integrate with Slurm for efficient job scheduling. Monitor queue times, job status, and resource usage from a unified dashboard. Identify bottlenecks and optimize your cluster configuration for maximum throughput.

Dashboard showing Slurm job scheduling and monitoring

Ready to transform your AI infrastructure?

Join leading AI labs using Clusterfudge to streamline infrastructure management, maximize resource utilization, and accelerate research.

30 day free trial →