Expanse

Predict GPU, memory, and runtime requirements for compute workloads before execution

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Expanse to determine compute requirements for machine learning and high-performance computing workloads before launching them. By connecting to your existing Kubernetes or SLURM cluster, the system collects telemetry and predicts required GPU memory, total runtime, and completion probabilities. You can inspect jobs from the terminal or automatically right-size resource requests across training and inference fleets. When workloads crash, the diagnostic feature examines your code, logs, and telemetry to identify the exact cause of failure and generate code fixes for your developers.

What Expanse does

Predict job runtime and GPU memory consumptionIdentify the root cause of cluster job failuresConnect telemetry collectors to SLURM or KubernetesAnalyze simulation scripts before queue submissionGenerate code fix prompts from execution logsRight-size GPU allocations for inference modelsPredicts required GPU memory and runtime before jobs enter the queueCalculates completion probability distributions for AI and HPC workloadsIntegrates directly alongside SLURM and Kubernetes schedulersIdentifies root causes of failed jobs from logs, metrics, and codeGenerates targeted fix prompts for coding assistants to resolve job failuresContinuously learns cluster behavior to improve resource prediction accuracyProvides automated resource right-sizing for continuous inference workloads