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v0.1.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 1mo Cloud Management
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agentic-ai cli cloud-gpu gpu homebrew lambda-labs
+4 more
mlops python runpod vastai

Summary

AI summary

Updates Highlights, Install ```bash, and Links across a mixed release.

Full changelog

swm v0.1.0 — Initial open-source release

One CLI to search, provision, and manage cloud GPUs across 10 providers.

Install

# macOS (Homebrew)
brew tap swm-gpu/homebrew-swm && brew install swm

# Python (3.11+)
pipx install swm-gpu

# From source
git clone https://github.com/swm-gpu/swm.git && cd swm && pip install -e .

Highlights

  • 10 GPU providers: RunPod, Vast.ai, Lambda Labs, Vultr, TensorDock, FluidStack, AWS, GCP, Azure, CoreWeave
  • Workspace sync: Push/pull across clouds via S3-compatible storage (B2, S3, GCS)
  • 7 frameworks: vLLM, Open WebUI, Ollama, ComfyUI, SwarmUI, Axolotl, H2O LLM Studio
  • Lifecycle guard: Auto-stop idle pods based on SSH, GPU util, filesystem activity
  • Cost tracking: Per-session tracking with provider billing API reconciliation
  • Agent integration: Drop in a SKILL.md and let Cursor, Codex, or Claude Code manage GPUs
  • Model management: Search HuggingFace Hub, pull models, hot-swap vLLM serving

Binary

  • swm-0.1.0-darwin-arm64 — macOS Apple Silicon (M1/M2/M3/M4)

Links

  • Docs: https://swmgpu.com
  • PyPI: https://pypi.org/project/swm-gpu/

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Beta — feedback welcome: [email protected]