How much does Chamber cost?

No public prices; plans are tailored to fleet size, infrastructure and team needs through a conversation with the founders. The customer's own GPU and cloud costs are separate.

What are the best alternatives to Chamber?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Chamber among SRE and DevOps agents are Bluebricks, Cleric, NeuBird, Anyshift. Each is graded on the same public evidence, and no vendor pays for placement.

Does Chamber support MCP and tool calling?

Full under the Agentic Index verification standard. Chamber publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: Customers get a Python SDK, a CLI and webhooks. An API reference covers workloads, metrics, capacity and health, and further pages cover SDK authentication and the API reference. Chamber homepage and docs llms.txt index, 2026-09-29. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Chamber have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Chamber publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: Admin and Member roles control access by team membership, alongside deny by default agent policies and credential scoping across tenants. Chamber reports SOC 2 Type I and II. There is no stated SSO or SCIM. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Chamber be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Chamber publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: The agent installs in the customer's own cluster with one Helm command (EKS and GKE guides, plus a standalone agent), data stays in the customer environment and only anonymized operational metadata reaches Chamber. Chamber homepage and docs. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Chamber

Also known as: Chambie

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SRE / DevOps agentindependentVerified 2026-09-29

Entry priceCustom plans tailored to fleet size, quoted in a conversation with the founders. No prices are published.Full pricing detail

AIOps agent for ML teams: Chambie runs in the customer's own GPU cluster, diagnoses failed training jobs, applies typed fixes under risk tiered Slack approvals, and reclaims idle GPUs.

Chamber builds AIOps agents for machine learning teams. Its agent, Chambie, installs in the customer's own Kubernetes or Slurm cluster with one Helm command, discovers nodes and workloads on its own, and keeps data in the customer's environment, sending only anonymized operational metadata to Chamber. It checks the fleet on a five minute heartbeat, runs scheduled reviews such as daily cost reports, and responds to cluster events within about a minute, diagnosing failed training jobs (out of memory errors, NCCL timeouts, ECC errors, stragglers), applying typed fixes such as requeue, reconfigure and rerun from checkpoint, and packing idle GPU capacity.

Action is tiered by risk. Reads run automatically, low risk writes run after a dry run preview, and high risk or destructive actions need explicit approval in Slack through signed, single use buttons, with dual approval for the most destructive tier. Deny by default policies cap GPUs, budgets and tools, and the agent cannot change its own permissions. Every action is logged with its risk tier, reasoning, evidence, approver and outcome. Resolved incidents become reusable patterns in a Pattern Bank, and failed fixes feed a Failure Journal of prevention rules.

Teams work with Chamber in Slack, a web console, a CLI and a Python SDK. It reports SOC 2 Type I and II, uses Admin and Member roles scoped by team, and prices custom plans by fleet size through a conversation with the founders. It is a Y Combinator Winter 2026 company.

Vendor details

Canonical URL

https://www.usechamber.io/

Funding status

Y Combinator (Winter 2026); raising a seed round. Seattle. Founded by Charles Ding (CEO), Andreas Bloomquist, Jason Ong and Shaocheng Wang, former Amazon, AWS and Meta infrastructure engineers.

Company status

independent

Use cases & customers

Primary use cases

Autonomous diagnosis and remediation of failed GPU training runsGPU fleet monitoring, root cause analysis and healthGPU capacity optimization, right sizing and schedulingNatural language training job submission from Slack, CLI or SDK

Target customers

ML research and engineering teams running distributed trainingMid to large enterprises with large GPU fleetsTeams on Kubernetes, Slurm or hybrid GPU infrastructure

Deployment options

In-cluster (agent deploys into the customer's own cluster)KubernetesSlurmHybridSingle Helm command install

Integrations

Installs in Kubernetes (including EKS and GKE) or Slurm clusters with one Helm command, with a standalone agent and OpenTelemetry integration for metrics. Works through Slack, email, a web console, a CLI, a Python SDK and webhooks.

In practice

A training run dies at 3am on an NCCL timeout. Chambie diagnoses it, requeues or reruns from checkpoint, and posts what happened in Slack.

You will not let an agent cancel jobs on its own. Chamber's high risk actions wait for signed Slack approval, with dual approval for destructive ones.

GPUs sit idle during CPU heavy phases. Chamber detects idle capacity and packs other work onto it within your policy and budget caps.

Sources & related URLs

Research sources

https://www.usechamber.io/ https://docs.usechamber.io/introduction https://www.ycombinator.com/companies/chamber https://www.ycombinator.com/launches/P9j-chamber-autopilot-for-ai-infrastructure https://www.producthunt.com/products/chamber-autopilot-for-ai-infrastructure

Agentic Index coverage score

9.5 / 14 capabilities · 68%

Integrations & Tool Calling	Full
The in-cluster agent acts on Kubernetes (EKS, GKE) and Slurm workloads through typed fixes (requeue, reconfigure, rerun from checkpoint), submits and cancels jobs and creates or releases allocations under tenant policy, with Slack, email, webhooks and OpenTelemetry integrations. SourceChamber homepage and docs, Safety and Governance and llms.txt index; docs.usechamber.io/ai-ops/safetyread 2026-09-29
Workflow Orchestration	Partial
The agent runs its own fixed loop of observation, diagnosis, recommendation, action, verification and learning, with model tiers per step. Customers set policy on tools, budgets and approvals, but there is no stated builder, branching or multi agent flow they control. Sourcedocs.usechamber.io/ai-ops/how-it-worksread 2026-09-29
Knowledge Grounding & RAG	Partial
Diagnosis correlates logs, metrics and workload state collected from the cluster per incident, and there is no stated maintained index over the customer's documents or runbooks. The Pattern Bank holds patterns learned from past incidents, not customer documents. Sourcedocs.usechamber.io/ai-ops/how-it-worksread 2026-09-29
Human Oversight & Guardrails	Full
Actions are tiered by risk. Reads run automatically, low risk writes run after a dry run preview, and high risk actions (large jobs, cancellations, allocation releases) need explicit Slack approval through signed, single use buttons that expire in 30 minutes, with dual approval for tier 4. Deny by default policies cap GPUs and budgets, and the agent cannot modify its own permissions. Sourcedocs.usechamber.io/ai-ops/safetyread 2026-09-29
Security, Identity & Governance	Full
Admin and Member roles control access by team membership, alongside deny by default agent policies and credential scoping across tenants. Chamber reports SOC 2 Type I and II. There is no stated SSO or SCIM. Sourcedocs.usechamber.io/platform/user-managementread 2026-09-29
Observability & Auditability	Full
Every action is logged with its type, risk tier, reasoning, supporting evidence, approver identity, outcome and timestamp. The log is kept for compliance review and can be exported to governance tools, giving a per action record of what the agent did. Sourcedocs.usechamber.io/ai-ops/safetyread 2026-09-29
Memory & State Persistence	Partial
A Pattern Bank, where every resolved incident becomes a reusable pattern, and a Failure Journal of unsuccessful fixes carry learning across incidents, written by the agent. That memory has no stated scope or lifetime, and customers have no stated way to edit or delete it. Sourcedocs.usechamber.io/ai-ops/how-it-worksread 2026-09-29
Deployment & Data Residency	Full
The agent installs in the customer's own cluster with one Helm command (EKS and GKE guides, plus a standalone agent), data stays in the customer environment and only anonymized operational metadata reaches Chamber. SourceChamber homepage and docs llms.txt index; usechamber.ioread 2026-09-29
Prebuilt Agents / Templates / Packs	Partial
One agent, Chambie, ships with a set of supported scenarios (failed training jobs, idle GPUs, node health). Those scenarios belong to the one agent and are not separate products, and Chamber publishes no template or agent catalog. SourceChamber homepage and docs llms.txt index; usechamber.ioread 2026-09-29
Triggers & Channel Coverage	Full
The agent wakes on a five minute heartbeat that checks whether anything is wrong, on scheduled tasks such as daily cost reports, and on cluster events within 30 seconds to a minute, reporting in Slack. Nobody has to ask. Sourcedocs.usechamber.io/ai-ops/how-it-worksread 2026-09-29
Model Flexibility & Routing	Not documented
Tasks are routed between Fast, Reasoning and Critical model tiers, but the providers are not named and there is no stated customer model choice. Sourcedocs.usechamber.io/ai-ops/how-it-worksread 2026-09-29
APIs / SDKs / MCP Extensibility	Full
Customers get a Python SDK, a CLI and webhooks. An API reference covers workloads, metrics, capacity and health, and further pages cover SDK authentication and the API reference. SourceChamber homepage and docs llms.txt index; usechamber.ioread 2026-09-29
Testing, Debugging & Optimization	Partial
Each fix is verified, and a Failure Journal turns unsuccessful fixes into prevention rules as a learning loop. Dry run previews check an action before it runs, but there is no stated evaluation harness or scored test of the agent. Sourcedocs.usechamber.io/ai-ops/how-it-worksread 2026-09-29
Browser / Computer-use	Not documented
Chamber acts through the cluster agent, typed tools, Slack, a CLI and an SDK, with no stated browser, desktop or computer control. Sourcedocs.usechamber.io/ai-ops/safetyread 2026-09-29

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Custom plans tailored to fleet size, quoted in a conversation with the founders. No prices are published.

A custom plan sized by fleet size, infrastructure and team needs. The customer's own GPU and cloud costs are separate.

Cost watchouts

The customer keeps paying its own GPU and cloud costs. Chamber's fee is custom and not published.

Variable cost rationale

Chamber prices each plan by fleet size, so the fee grows with the size of the fleet it manages, along with infrastructure and team needs. The customer's own GPU and cloud spend, which the agent is meant to reduce, sits outside Chamber's fee. No rate, cap or minimum is published, so nothing public limits the fee as the fleet grows.

Sales call required

Yes, required for paid access

Free / trial

None published

Lowest paid plan

Not published

Key ambiguities

No price, tier, free plan or trial is published. Every plan is set in a conversation with the founders.

Agentic Index verified 2026-09-29

Official pricing page

Related vendors

Alternatives to Chamber

The closest documented capability profiles to Chamber among SRE and DevOps agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Bluebricks10.5 / 14Fuller documented coverage on Workflow Orchestration and Knowledge Grounding & RAG
Cleric10.0 / 14Adds documented Model Flexibility & Routing
NeuBird11.0 / 14Adds documented Model Flexibility & Routing
Anyshift8.5 / 14Fuller documented coverage on Knowledge Grounding & RAG
Better Stack9.5 / 14Fuller documented coverage on Workflow Orchestration and Knowledge Grounding & RAG
Causely9.5 / 14Fuller documented coverage on Knowledge Grounding & RAG and Prebuilt Agents, Templates & Packs

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Chamber with other vendors →Compare all SRE and DevOps agents →See where Chamber ranks →

Data confidence: high

Head to head

Chamber vs Ciroos AI