lambda-labs-gpu-cloud
Über
Diese Claude Skill stellt dedizierte GPU-Cloud-Instanzen von Lambda Labs für ML-Training und Inferenz bereit. Sie ist ideal für Entwickler, die vollen SSH-Zugriff, persistente Speicher oder große Multi-Node-Cluster mit vorinstallierten Stacks wie PyTorch benötigen. Nutzen Sie sie für langlaufende Jobs, bei denen einfache Preisgestaltung und hochperformante GPUs erforderlich sind.
Schnellinstallation
Claude Code
Empfohlennpx skills add davila7/claude-code-templates -a claude-code/plugin add https://github.com/davila7/claude-code-templatesgit clone https://github.com/davila7/claude-code-templates.git ~/.claude/skills/lambda-labs-gpu-cloudKopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren
GitHub Repository
Verwandte Skills
railway-deployment
MetaThis Claude Skill manages Railway deployments for lifecycle operations and troubleshooting. It enables developers to view logs, redeploy, restart, or remove deployments through Railway CLI commands. Use it for deployment visibility and debugging, but note that deleting services requires the railway-environment skill instead.
railway-new
MetaThis skill creates and configures Railway projects and services, handling both initial setup and adding services to existing projects. It triggers when users mention deployment, initialization, or GitHub linking to Railway. Use it for infrastructure scaffolding, but employ a separate skill specifically for database creation.
railway-database
MetaThis skill adds official Railway database services (Postgres, Redis, MySQL, MongoDB) with pre-configured volumes and connection variables. Use it when developers request to add, connect, or wire up databases in their Railway projects. It specifically handles database services while directing other templates to the separate railway-templates skill.
railway-status
MetaThis skill checks the current deployment status and uptime of Railway projects in the current directory. It's triggered by queries like "railway status," "what's deployed," or questions about deployment status and uptime. Use the separate railway-environment skill for configuration or variable queries instead.
