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Introducing Anyscale: Accelerate scaling and deployment of AI / ML

Anyscale
December 16, 2021

Introducing Anyscale: Accelerate scaling and deployment of AI / ML

We are excited to announce the general availability (GA) of the Anyscale managed Ray platform.

We created Ray to enable every developer to effortlessly scale their AI/ML workloads from the laptop to the cloud without needing to built and manage complex infrastructure, or become a distributed systems expert. The Anyscale platform builds on that vision and brings the power of instant scaling on Ray to a much larger community.

Join our special Anyscale GA launch event with Ray creators and Anyscale founders, Robert Nishihara and Ion Stoica, for an overview and live demo.

Session highlights include:
- Infinite laptop experience: Accelerate development and experimentation through instant access to cloud scale with a laptop-like experience.
- Production jobs & services: Effortlessly deploy AI workflows and models into production
- Unified compute: Manage the full AI lifecycle on a single platform

Anyscale

December 16, 2021
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  1. Introducing Anyscale: Accelerate the scaling and deployment of AI applications

    Ion Stoica | Anyscale Bill Chambers | Anyscale Tobias Kaymak | Ricardo
  2. Ray Mission We created Ray to make it effortless to

    scale any workload from your laptop to the cloud.
  3. Amazing growth in 5 years 600+ 18000+ 1000s Contributors GitHub

    stars organizations are using Ray 25+ Libraries
  4. Accelerate the development and deployment of AI applications at any

    scale Develop on a laptop Instantly scale to the cloud
  5. ` Run Debug Test / staging Deploy Development Production Anyscale:

    Best of both worlds Laptop development experience and cloud scale Edit
  6. INFINITE LAPTOP EXPERIENCE Accelerate AI development with instant access to

    cloud scale from your laptop Write once. Run anywhere. Scale from laptop to cloud with zero code changes Simple Python APIs Compose distributed applications in native Python code Distributed ML libraries ecosystem Unify the end-to-end AI lifecycle on a single, scalable platform Dependency packaging Auto sync local environment and files to the cloud
  7. INFINITE LAPTOP EXPERIENCE Accelerate AI development with instant access to

    cloud scale from your laptop Write once. Run anywhere. Scale from laptop to cloud with zero code changes Simple Python APIs Compose distributed applications in native Python code Distributed ML libraries ecosystem Unify the end-to-end AI lifecycle on a single, scalable platform Dependency packaging Auto sync local environment and files to the cloud Edit Run Debug Develop, at scale, on a laptop
  8. PRODUCTION-READY Effortlessly deploy AI models & workflows into production Production

    jobs & services Deploy ML workflows & models into production with ease Serverless experience Elastic scaling with no runtime limits or GPUs restrictions CLIs, APIs & SDKs Automate and integrate into your workflows (eg. CI/CD) Observability & alerting Track health with event logs and prebuilt dashboards Run Test / stage Deploy Edit Debug
  9. PRODUCTION-READY Effortlessly deploy AI models & workflows into production Production

    jobs & services Deploy ML workflows & models into production with ease Serverless experience Elastic scaling with no runtime limits or GPUs restrictions CLIs, APIs & SDKs Automate and integrate into your workflows (eg. CI/CD) Observability & alerting Track health with event logs and prebuilt dashboards
  10. ANYSCALE ADVANTAGE Amplify your Ray journey on a managed platform

    from the creators of Ray 100% managed infrastructure Eliminate your operations load with a fully-managed service Multi-cloud enabled Run the same code on any cloud with no code changes.
  11. Ray Meetup Jan 19 - Virtual / SF Join the

    Ray Community ray.io/community Slack Discuss Forum discuss.ray.io
  12. SIGN UP TO REQUEST ACCESS anyscale.com/signup Reduce the time to

    market on your AI projects with Anyscale and Ray