lambda-labs Skill
On-demand GPU cloud instances for ML training. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Deployment, Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
21 days ago · MIT license
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What is lambda-labs Skill?
On-demand GPU cloud instances for ML training. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Deployment use cases
- Data analysis use cases
Declared skill metadata
- Declared author: Orchestra Research
- Declared license: MIT
- Source file: optional-skills/mlops/lambda-labs/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use lambda-labs Skill
- Use it for deployment.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/mlops/lambda-labs/SKILL.md
What it does
On-demand GPU cloud instances for ML training.
Skill instructions
Lambda Labs GPU Cloud Guide to running ML workloads on Lambda Labs GPU cloud with on-demand instances and 1-Click Clusters. When to use Lambda Labs Use Lambda Labs when: - Need dedicated GPU instances with full SSH access - Running long training jobs (hours to days) - Want simple pricing with no egress fees - Need persistent storage across sessions - Require high-performance multi-node clusters (16-512 GPUs) - Want pre-installed ML stack (Lambda Stack with PyTorch, CUDA, NCCL) Key features: - GPU variety: B200, H100, GH200, A100, A10, A6000, V100 - Lambda Stack: Pre-installed PyTorch, TensorFlow, CUDA, cuDNN, NCCL - Persistent filesystems: Keep data across instance restarts - 1-Click Clusters: 16-512 GPU Slurm clusters with InfiniBand - Simple pricing: Pay-per-minute, no egress fees - Global regions: 12+ regions worldwide Use alternatives instead: - Modal: For serverless, auto-scaling workloads - SkyPilot: For multi-cloud orchestration and cost optimization - RunPod: For cheaper spot i
Verified compatibility and discovery
Frequently asked questions
What is lambda-labs?
lambda-labs is a open-source AI agent skill with Copy skill directory. On-demand GPU cloud instances for ML training.
Who is lambda-labs best for?
lambda-labs is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows.
How do I install lambda-labs?
Install or run lambda-labs using Copy skill directory. Check lambda-labs for the latest setup command.
Is lambda-labs actively maintained?
lambda-labs may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
