Recent execution records
Your accessible records, including published history. This is not a list of currently running machines.
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Confidential and proprietary. This system and its contents are the property of Clovertex. Access is restricted to authorised users and all activity is logged and monitored. Unauthorised use, copying, or disclosure is prohibited.
Execution history, accessible evidence, and your next step.
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Your accessible records, including published history. This is not a list of currently running machines.
How efficiently jobs use what they request, from scheduler accounting, and what to fix first.
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Measured telemetry supports performance claims. Workflow inference explains dependencies. General guidance supplies background. Ask the assistant to identify which sources support each answer.
Explore workflow optimization ->Every retrieved attempt keeps its own identity and provenance.
Trial limit: 1 GB per dataset. Larger datasets depend on your configured storage, compute and workflow limits.
Choose one file per dataset. Files are stored privately for your account. Uploading does not run a job or train the AI. Application compatibility must be validated before execution.
Storage belongs to your signed-in account. cryoSPARC execution requires licensing clearance; SBGrid also requires selecting an entitled tool. Uploads are stored in Cloud Storage, not automatically copied to Filestore.
CTF estimation on one 2D MRC2014 micrograph: import -> CTF estimation. This profile does not process raw movies or perform reconstruction. Enter the acquisition settings for your dataset; do not copy settings from an unrelated experiment.
Every job the scheduler recorded, per dataset: what was requested, what was used. Read from the dataset's accounting; efficiency is shown only where the rows carry CPU time and peak memory.
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Launch scientific applications, pipelines, and governed cloud compute from one workspace - sized, priced, and provisioned for you.
No starred apps yet - open any environment and tap the ☆ on an app to pin it here.
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Cost and budget by user.
Efficiency, waste and what to fix first, from scheduler accounting. Two datasets, never blended; every figure names its dataset. Opened in its own window so it can stay beside the console.
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Guides for Numen on Google Cloud. These are the documents in the repository, uploaded on every deploy, so what you read here is what the platform does.
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Only developers see this tab. The build journal is generated from the deploy guide (one Part per feature: what and why) and the commits on main (how); the deploy log says who put which revision live, and when.
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