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AWS Partner Highlights
2 AWS Competencies
5+ AWS Customer Launches
Anyscale, the company behind Ray open source, is a fully-managed, enterprise-ready unified AI platform. With Anyscale, companies can build, deploy, and manage all their AI use cases, bringing transformational AI products to market faster.
AWS Partner Website
us
Headquarters
San Francisco
55 Hawthorne St., 9th Floor San Francisco
San Francisco, California 94105
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AWS Partner descriptions are provided by the AWS Partner and are not verified by AWS.
AWS Validated Qualifications
AWS Competencies
  • Machine Learning ISV Competency
  • Generative AI Software Competency
Solutions (2)

Sorted by: A-Z

solution validation level iconAdvanced

Machine Learning ISV Competency | Generative AI Software Competency

Anyscale
Anyscale provides a managed service to accelerate building scalable AI applications on top of Ray. Anyscale comes with secure access controls, SOC 2 certification, and enterprise features that can be fully integrated with public cloud providers and tooling across the data, machine learning, and AI ecosystems. With a unified and integrated developer experience, Anyscale allows developers to focus on building applications and solve business problems. They no longer have to manage infrastructure and, instead, can focus on shipping great products while Anyscale manages the infrastructure in public clouds.
solution validation level iconFoundational

Hosted Anyscale
Anyscale provides a managed service to accelerate building scalable AI applications on top of Ray. Anyscale comes with secure access controls, SOC 2 certification, and enterprise features that can be fully integrated with public cloud providers and tooling across the data, machine learning, and AI ecosystems. With a unified and integrated developer experience, Anyscale allows developers to focus on building applications and solve business problems. They no longer have to manage infrastructure and, instead, can focus on shipping great products while Anyscale manages the infrastructure on Anyscale managed compute.
Case Studies (4)

Sorted by: A-Z

Foundation Models and App Development | Generative AI
10x Cheaper Embedding Computations with Anyscale and Pinecone
The first steps in building a Retrieval-Augmented Generation (RAG) application is to create embeddings of your data. These are representations of meaning and context that vector databases use for search and retrieval. Creating embeddings presents several challenges.
Machine Learning | Platform Solutions
How Anastasia accelerated their ML processes 9x with Ray and Anyscale
Anastasia.ai provides a powerful platform that enables organizations to operate AI capacities at scale with a fraction of the resources and effort traditionally required. Using Ray and Anyscale, Anastasia implementated a new solution that is is 9x faster and has reduced the cost by 87%.
Foundation Models and App Development | Generative AI
How Canva Built a Modern AI Platform Using Anyscale
With Anyscale, Canva can test and evolve new machine learning models up to 12x faster than previously possible while achieving nearly 100% GPU utilization and reducing cloud costs by 50%.
Machine Learning | Platform Solutions
Wildlife Studios serves in-game offers 3X faster with Ray Serve
With Ray and Anyscale, Wildlife Studios delivered a better gaming experience to their players and increased revenue from more relevant and faster served in-game offers while reducing infrastructure costs through better CPU utilization.
Anyscale Customer References (2)
Locations (1)
Headquarters

San Francisco

55 Hawthorne St., 9th Floor San Francisco

San Francisco, California, 94105, United States