lambda-labs-gpu-cloud SKILL.md skillA
lambda-labs-gpu-cloud from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/lambda-labs-gpu-cloud@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
09-infrastructure/lambda-labs/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Nov 25, 2025
- Size
- 12,153 bytes
- Repository stars
- 13,718
- License
- MIT
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Lambda Labs GPU Cloud Comprehensive 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 instances and serverless endpoints - **Vast.ai**: For GPU marketplace with lowest prices ## Quick start ### Account setup …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/lambda-labs-gpu-cloud@sha256:9d1dc3fcb83bf0deThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_vssgdkuhldybnjbf)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Nov 25, 2025.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12153 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vssgdkuhldybnjbf GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/lambda-labs-gpu-cloud GET https://markdownregistry.com/api/v1/blob/9d1dc3fcb83bf0de14717e58c13f49989b2bc307b12febcf040ef9d28fedc0a7
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.