InferWeave
About
What InferWeave is, what the public dashboard shows and does not show, and the privacy stance: which fields are published and which are deliberately withheld.
Fixture data (no live surface yet).
What InferWeave is
InferWeave is a platform for deploying and serving inference workloads across a shared cluster. The public dashboard is its read-only, pseudonymous view: aggregate capacity and health, model and deployment identities, and benchmark metadata.
What the public dashboard shows and does not show
The dashboard is metadata only: aggregate counts and identifiers, never the text a user wrote or a model produced.
Published fields
- snapshotTotals: aggregate counts only — total/healthy nodes and deployments, active requests
- nodeId: pseudonymous, rotatable node identifier (no private address)
- nodeStatus: health classification (healthy / stale) from metadata telemetry
- nodeCapabilities: capability tags such as gpu model and cpu size
- modelId: model repository identifier
- deploymentFingerprint: model repository@revision, KV precision, max context tokens and serving state
- benchmarkRecords: numeric benchmark results (ttft, decode throughput) with measurement source
Deliberately withheld
- promptText: request text a user wrote — never published
- responseText: text a model produced — never published
- credentials: API keys, tokens or other secrets
- userIdentity: user emails or account details
- privateNodeAddress: stable private node addresses or wallet mappings
- locationData: home or geolocation data
- perRequestDetail: per-request or per-user telemetry beyond aggregate counts