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Chamber

Your AIOps Teammate for GPU Infrastructure·usechamber.io

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Chamber is an AIOps platform for GPU infrastructure that deploys AI agents to autonomously monitor, root-cause, and remediate GPU workload issues across clouds and clusters. It provides a SaaS control plane with a lightweight agent installed via Helm into customers' Kubernetes or Slurm clusters, offering fleet-wide dashboards, cost forecasting, and cross-cloud orchestration. Its conversational AI agent, Chambie, answers infrastructure questions and takes remediation actions from Slack, CLI, or the web console.

What it's for

Monitor GPU workloads in real-time across clusters and cloudsRoot-cause failed or underperforming training jobs in plain EnglishAutonomously remediate infrastructure issues before they impact researchCross-cloud workload orchestration and schedulingAnswer natural-language infrastructure questions via Slack, CLI, or UITrack GPU cost, utilization, and team-level metricsForecast future GPU spend based on historical usageDetect and isolate failing GPU hardware before it corrupts training runs

Features 15

  • Advanced orchestration with fair-share scheduling and budget-based governance
  • AI-powered root cause analysis for GPU failures
  • Automatic fault detection and isolation of failing GPUs
  • Automatic team dashboards generated from Kubernetes labels
  • Autonomous remediation of infrastructure issues
  • Chambie AI agent for natural-language infrastructure queries via Slack, CLI, or UI
  • Cost forecasting based on historical usage patterns
  • Cross-cloud GPU fleet monitoring and visibility
  • Fleet-wide metrics, cost analytics, and utilization tracking
  • Intelligent workload orchestration and scheduling
  • One Helm command deployment
  • Programmable API, CLI, and Python SDK for automation
  • Weights & Biases and experiment tracker integration
  • Workload Explorer with full history and advanced filtering
  • Zero-config auto-discovery of GPUs, workloads, and teams

At a glance

free tierself-hostableAPI
TypeWeb app
DeploymentHybrid
PlatformsWeb
ForAI Researchers & MLEs, Platform Engineers, Engineering Managers, Executives & Finance
CompanyChamber Inc. · 2024

Integrations

SlackWeights & BiasesAWSGCPAzureKubernetesSlurmemailwebhooks

Complianceself-reported

SOC 2 Type ISOC 2 Type II

Resources

Pricing

Pricing is tailored per customer (from startups to enterprises). A free GPU monitoring tier is available with no credit card required to start. Enterprise pricing applies for full platform access.

FreeFree

Described in llms.txt as 'Free GPU monitoring tier available'; no credit card required to start.

Free GPU monitoring tier

EnterpriseQuote

Quote-based; pricing page says 'Talk to us and we'll put together the right plan for your setup.' Enterprise pricing for full platform access per llms.txt.

Last checked 28 days ago·