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Lightning-AI
Profil créateur GitHub

Lightning-AI

Vue par dépôt de 11 skills collectés dans 2 dépôts GitHub.

skills collectés
11
dépôts
2
mis à jour
23 oct. 2026
carte des dépôts

Où se trouvent les skills

Principaux dépôts par nombre de skills collectés, avec leur part dans ce catalogue créateur et leur couverture métier.

explorateur de dépôts

Dépôts et skills représentatifs

lightning-billing
non classé

Read and manage Lightning AI billing - credit balances for a user, org or teamspace (with transaction history), spend reports broken down by resource type, user, teamspace, day or single resource (jobs, Studios, deployments, sandboxes, storage, LLM/assistant…

14 oct. 2026
lightning-litdata
non classé

Preprocess and stream training datasets with LitData, choose raw or optimized storage, configure media serialization, resume data loaders, and diagnose cloud I/O, caching and multi-worker failures. Use when the user works with litdata, StreamingDataset,…

14 oct. 2026
lightning-pipelines
non classé

Build, update, schedule, inspect and troubleshoot Lightning AI pipelines with dependent CPU/GPU jobs, Studio snapshots and shared data. Use when the user wants a multi-step workflow, recurring training, schedule replacement, or logs from a specific pipeline…

14 oct. 2026
lightning-artifacts
non classé

Publish a local file (HTML report, PDF, image, dataset sample, build output) to Lightning AI and get a durable, public lightning.ai/artifacts/ link that never expires and renders inline in the browser. Also lists the artifacts drive, unpublishes (revokes)…

13 oct. 2026
lightning-jobs
non classé

Launch and manage batch jobs on Lightning AI - run commands on cloud CPUs/GPUs from a Docker image or a Studio snapshot, monitor status, show live progress with an ETA and setback tracking (status-line bar + Monitor events), fetch logs, SSH into a running job…

12 oct. 2026
lightning-cost-estimation
non classé

Estimate and compare what a workload costs on Lightning AI - fetch live per-hour GPU/CPU machine prices from the accelerator catalog for every cloud (Lightning Cloud, AWS, GCP, Lambda Labs, Nebius, Voltage Park), size hardware for a model, then quote a…

6 oct. 2026
lightning-studios
non classé

Manage Lightning AI Studios (cloud dev machines with CPUs/GPUs) - create, start, stop, delete studios, switch machine types, run commands in them (including long detached runs with live progress tracking), upload/download files, and SSH in. Use when the user…

6 oct. 2026
lightning-deployments
non classé

Deploy and operate services on Lightning AI - run Docker containers or HuggingFace models (vLLM) behind autoscaled HTTPS endpoints, manage replicas, releases, endpoint auth, and logs. Use when the user wants to deploy an API, model server, or container to…

1 oct. 2026
Affichage de 8 skills collectés sur 10.
2 dépôts affichés sur 2
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