Skip to main content

SkyPilot: An intercloud broker for the clouds

Project description

SkyPilot

Documentation GitHub Release Join Slack

Run LLMs and AI on Any Cloud


:fire: News :fire:

  • [Nov, 2023] Example: Using Axolotl to finetune Mistral 7B on the cloud (on-demand and spot): example
  • [Sep, 2023] Mistral 7B, a high-quality open LLM, was released! Deploy via SkyPilot on any cloud: Mistral docs
  • [Sep, 2023] Case study: Covariant transformed AI development on the cloud using SkyPilot, delivering models 4x faster cost-effectively: read the case study
  • [Aug, 2023] Cookbook: Finetuning Llama 2 in your own cloud environment, privately: example, blog post
  • [July, 2023] Self-Hosted Llama-2 Chatbot on Any Cloud: example
  • [June, 2023] Serving LLM 24x Faster On the Cloud with vLLM and SkyPilot: example, blog post
  • [April, 2023] SkyPilot YAMLs for finetuning & serving the Vicuna LLM with a single command!

SkyPilot is a framework for running LLMs, AI, and batch jobs on any cloud, offering maximum cost savings, highest GPU availability, and managed execution.

SkyPilot abstracts away cloud infra burdens:

  • Launch jobs & clusters on any cloud
  • Easy scale-out: queue and run many jobs, automatically managed
  • Easy access to object stores (S3, GCS, R2)

SkyPilot maximizes GPU availability for your jobs:

  • Provision in all zones/regions/clouds you have access to (the Sky), with automatic failover

SkyPilot cuts your cloud costs:

  • Managed Spot: 3-6x cost savings using spot VMs, with auto-recovery from preemptions
  • Optimizer: 2x cost savings by auto-picking the cheapest VM/zone/region/cloud
  • Autostop: hands-free cleanup of idle clusters

SkyPilot supports your existing GPU, TPU, and CPU workloads, with no code changes.

Install with pip:

pip install "skypilot[aws,gcp,azure,ibm,oci,scp,lambda,kubernetes]"  # choose your clouds

To get the latest features/updates, install from source or the nightly build:

pip install -U "skypilot-nightly[aws,gcp,azure,ibm,oci,scp,lambda,kubernetes]"  # choose your clouds

Current supported providers (AWS, Azure, GCP, Lambda Cloud, IBM, Samsung, OCI, Cloudflare, any Kubernetes cluster):

SkyPilot

Getting Started

You can find our documentation here.

SkyPilot in 1 Minute

A SkyPilot task specifies: resource requirements, data to be synced, setup commands, and the task commands.

Once written in this unified interface (YAML or Python API), the task can be launched on any available cloud. This avoids vendor lock-in, and allows easily moving jobs to a different provider.

Paste the following into a file my_task.yaml:

resources:
  accelerators: V100:1  # 1x NVIDIA V100 GPU

num_nodes: 1  # Number of VMs to launch

# Working directory (optional) containing the project codebase.
# Its contents are synced to ~/sky_workdir/ on the cluster.
workdir: ~/torch_examples

# Commands to be run before executing the job.
# Typical use: pip install -r requirements.txt, git clone, etc.
setup: |
  pip install torch torchvision

# Commands to run as a job.
# Typical use: launch the main program.
run: |
  cd mnist
  python main.py --epochs 1

Prepare the workdir by cloning:

git clone https://github.com/pytorch/examples.git ~/torch_examples

Launch with sky launch (note: access to GPU instances is needed for this example):

sky launch my_task.yaml

SkyPilot then performs the heavy-lifting for you, including:

  1. Find the lowest priced VM instance type across different clouds
  2. Provision the VM, with auto-failover if the cloud returned capacity errors
  3. Sync the local workdir to the VM
  4. Run the task's setup commands to prepare the VM for running the task
  5. Run the task's run commands

SkyPilot Demo

Refer to Quickstart to get started with SkyPilot.

More Information

To learn more, see our Documentation and Tutorials.

Runnable examples:

Follow updates:

Read the research:

Support and Questions

We are excited to hear your feedback!

For general discussions, join us on the SkyPilot Slack.

Contributing

We welcome and value all contributions to the project! Please refer to CONTRIBUTING for how to get involved.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skypilot-nightly-1.0.0.dev20231129.tar.gz (739.8 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file skypilot-nightly-1.0.0.dev20231129.tar.gz.

File metadata

File hashes

Hashes for skypilot-nightly-1.0.0.dev20231129.tar.gz
Algorithm Hash digest
SHA256 68613ae23cd99807859d1163526cd5ed9da2293ac91bbf9017ec88f2114bb6c8
MD5 f366c5060641c5760a4607ab000d51e4
BLAKE2b-256 698d145b031e4c9a38c30439c766ab0990c1540856a7cd5732f194dfefde5d97

See more details on using hashes here.

File details

Details for the file skypilot_nightly-1.0.0.dev20231129-py3-none-any.whl.

File metadata

File hashes

Hashes for skypilot_nightly-1.0.0.dev20231129-py3-none-any.whl
Algorithm Hash digest
SHA256 0b204d479385f0bac6f59acc9ec05dd73aab8a58e12e24af6f85462c05d9c989
MD5 522fedf8d78c836d817b1d115c670934
BLAKE2b-256 39b30c2f3268187f68a7498d649dbc6d4d3800079b37bb92a866b9ae1904253a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page