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Lightning-AI
GitHub 제작자 프로필

Lightning-AI

2개 GitHub 저장소에서 수집된 9개 skills를 저장소 단위로 보여줍니다.

수집된 skills
9
저장소
2
업데이트
2026년 10월 7일
저장소 지도

skills가 있는 위치

수집된 skill 수가 많은 주요 저장소와 이 제작자 카탈로그 내 비중, 직업 분포를 보여줍니다.

저장소 탐색

저장소와 대표 skills

lightning-artifacts
미분류

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

2026년 9월 28일
lightning-blog
미분류

Write, edit, illustrate and publish posts on the Lightning AI blog (lightning.ai/blog) with the `lightning` CLI - create a draft, import Markdown with the bundled md2blocks.py, write the body as EditorJS blocks, rasterize SVG charts to dark-mode PNGs and…

2026년 9월 28일
lightning-cost-estimation
미분류

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…

2026년 9월 28일
lightning-deployments
미분류

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…

2026년 9월 28일
lightning-jobs
미분류

Launch and manage batch jobs on Lightning AI - run commands on cloud CPUs/GPUs from a Docker image or a Studio snapshot, monitor status, fetch logs, SSH into a running job or multi-machine worker, collect artifacts, and run multi-machine (distributed)…

2026년 9월 28일
lightning-llm-gateway
미분류

Call hosted LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, open-weights models) through the Lightning AI models API / LLM gateway - chat, streaming, multi-turn conversations, images, and model metadata; plus the teamspace model checkpoint registry. Use…

2026년 9월 28일
lightning-sandboxes
미분류

Run code in Lightning AI Sandboxes - fast, isolated ephemeral VMs with optional persistence, snapshots, custom images, Docker-in-sandbox (docker / docker compose), network egress policies, file I/O, public port URLs, and interactive PTY sessions. Use when the…

2026년 9월 28일
lightning-studios
미분류

Manage Lightning AI Studios (cloud dev machines with CPUs/GPUs) - create, start, stop, delete studios, switch machine types, run commands in them, upload/download files, and SSH in. Use when the user wants to work with lightning.ai Studios, needs a cloud GPU…

2026년 9월 28일
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