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

Transcript

1. Introducing Anyscale:
   Accelerate the scaling and
   deployment of AI applications
   Ion Stoica | Anyscale
   Bill Chambers | Anyscale
   Tobias Kaymak | Ricardo
   

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2. Exciting News!
   Anyscale is now
   generally available
   $100M Series C
   funding round
   

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3. 87%
   Market Problem
   Source: Venturebeat 2019
   AI projects don’t make it
   from pilot to production
   

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4. ANYSCALE MISSION
   Accelerate the scaling and
   productionization of AI apps
   

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5. Ray Mission
   We created Ray to make it effortless to scale any
   workload from your laptop to the cloud.
   

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6. Amazing growth in 5 years
   600+
   18000+
   1000s
   Contributors
   GitHub stars
   organizations are using Ray
   25+
   Libraries
   

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7. Introducing Anyscale
   The best way to scale and deploy AI applications on Ray
   

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8. Accelerate the development and deployment of
   AI applications at any scale
   Develop on a laptop
   Instantly scale to the cloud
   

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9. Edit
   Run
   Debug
   Test /
   staging
   Deploy
   Development Production
   AI Application Lifecycle
   

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10. Edit
    Run
    Debug
    Test /
    staging
    Deploy
    Development Production
    AI Application Lifecycle
    

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11. `
    Run
    Debug
    Test /
    staging
    Deploy
    Development Production
    Anyscale: Best of both worlds
    Laptop development experience and cloud scale
    Edit
    

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12. 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
    

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13. 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
    

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14. 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
    

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15. 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
    

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16. 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.
    

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17. DEMO
    

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18. Scaling AI with Anyscale
    Conversation with Tobias Kaymak,
    Sr. Data Engineer, Ricardo
    

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19. Ray Meetup
    Jan 19 - Virtual / SF
    Join the Ray Community
    ray.io/community
    Slack Discuss Forum
    discuss.ray.io
    

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20. SIGN UP TO REQUEST ACCESS
    anyscale.com/signup
    Reduce the time to market on your AI projects
    with Anyscale and Ray
    

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21. Thank you!
    

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