modal-serverless-gpu SKILL.md skillA
modal-serverless-gpu 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/modal-serverless-gpu@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/modal/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Nov 25, 2025
- Size
- 8,555 bytes
- Repository stars
- 13,718
- License
- MIT
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
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
# Modal Serverless GPU Comprehensive guide to running ML workloads on Modal's serverless GPU cloud platform. ## When to use Modal **Use Modal when:** - Running GPU-intensive ML workloads without managing infrastructure - Deploying ML models as auto-scaling APIs - Running batch processing jobs (training, inference, data processing) - Need pay-per-second GPU pricing without idle costs - Prototyping ML applications quickly - Running scheduled jobs (cron-like workloads) **Key features:** - **Serverless GPUs**: T4, L4, A10G, L40S, A100, H100, H200, B200 on-demand - **Python-native**: Define infrastructure in Python code, no YAML - **Auto-scaling**: Scale to zero, scale to 100+ GPUs instantly - **Sub-second cold starts**: Rust-based infrastructure for fast container launches - **Container caching**: Image layers cached for rapid iteration - **Web endpoints**: Deploy functions as REST APIs with zero-downtime updates **Use alternatives instead:** - **RunPod**: For longer-running pods with persistent state - **Lambda Labs**: For reserved GPU instances - **SkyPilot**: For multi-cloud orchestration and cost optimization - **Kubernetes**: For complex multi-service architectures …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/modal-serverless-gpu@sha256:219757503f846845The 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_zyotyvnxtwfihdgl)
2 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 (8555 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_zyotyvnxtwfihdgl GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/modal-serverless-gpu GET https://markdownregistry.com/api/v1/blob/219757503f84684534b3efe5616822ad17e6dc5c6cad127e6b46033a429d38ba
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.