We're headed to KubeCon 2024 in Salt Lake City, Nov 12-15! Visit booth 43 to see how Anyscale's KubeRay operator and RayTurbo optimize AI workloads, enhancing platform performance and scalability. Learn why Ray is the standard for AI on Kubernetes—book a meeting with us here: https://lnkd.in/gRrRAMdF
Anyscale
Software Development
San Francisco, California 34,897 followers
Scalable compute for AI and Python
About us
Scalable compute for AI and Python Anyscale enables developers of all skill levels to easily build applications that run at any scale, from a laptop to a data center.
- Website
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https://anyscale.com
External link for Anyscale
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2019
Products
Anyscale
AIOps Platforms
The Anyscale Platform offers key advantages over Ray open source. It provides a seamless user experience for developers and AI teams to speed development, and deploy AI/ML workloads at scale. Companies using Anyscale benefit from rapid time-to-market and faster iterations across the entire AI lifecycle.
Locations
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Primary
San Francisco, California 94105, US
Employees at Anyscale
Updates
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Intel Capital is hosting an exclusive event at the NYSE on Tuesdays 11/12 to discuss the latest AI breakthroughs powered by LLMs, multimodal AI, and agent-based AI. If you're attending, be sure to connect with Chad Carlisle, Ravindra Gupta, and Hank Ritter from the Anyscale team to learn how Anyscale is shaping the GenAI landscape. #AI #LLM #MultimodalAI #AgentAI #EnterpriseAI
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We’re excited to be at the KubenCon conference November 12-15! Visit booth 43 to talk with our team about KubeRay and learn how Anyscale and our operator for Kubernetes optimizes AI platforms with RayTurbo. Hope to see you there! #AI #Ray #Kubecon2024
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We’re partnering with Astronomer to address the need for scalable, efficient ML & AI workflows. With Ray’s distributed computing power—optimized for performance with Anyscale's RayTurbo—combined with Airflow’s orchestration and the Astronomer platform, this collaboration delivers a complete solution for managing complex workflows. Read more here: https://lnkd.in/gdCydJFb
😵 The demand for scalable, efficient, and manageable workflows has never been greater. As ML workflows grow in complexity and scale, data teams face the challenge of managing vast amounts of data and computational tasks across distributed environments. 🤝 To address the challenges of complex and scalable workflows, we have joined forces with Anyscale to offer complete solutions in the form of the Ray and Anyscale Providers by Astronomer. 🔋 Together, Astronomer and Anyscale offer a comprehensive solution for orchestrating and scaling ML and AI, seamlessly combining Airflow’s powerful workflow management with Ray’s distributed computing capabilities - whether through open-source flexibility or managed scalability. 📖 Read today's blog post for an overview and key features of the integration: https://bit.ly/40nPmZV
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Excited for our upcoming Ray Meetup on 10/29 to discuss how distributed computing is driving real-world AI innovations! Sign up today: https://lu.ma/biporq36
Join Kai-Hsun Chen and the Anyscale Team on Tues 10/29 for our next Ray Meetup! We'll be talking all things distributed computing and how it's being applied in real-world AI projects. Whether you're new to this or have some experience, there's something for everyone. Don't miss out—sign up here: https://lu.ma/biporq36 #RayMeetup #AI #Anyscale #Ray
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Great interview with Runway and Savannah Peterson about how AI tools are transforming the filmmaking landscape! 🎥 Runway is democratizing the creative process for filmmakers, empowering both newcomers and seasoned pros to experiment with ideas before heavy investment. AI Tools like those Runway builds with their Gen-3 Alpha are able to lower production costs by providing faster, scalable processing. Powered by @anyscalecompute, Runway is enabling filmmakers to visualize risky concepts early, allowing them to iterate quickly and confidently decide whether to pursue larger, more ambitious stories. Full clip here: https://lnkd.in/g7vqV9TR
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Great insights from Motional on scaling ML pipelines and how they're leveraging Ray to drive their autonomous vehicle tech forward! Ray is leading the charge in AI innovation, managing the massive data and compute demands of autonomous systems. With Anyscale's Ray, teams can seamlessly optimize the 3 key phases—preprocessing, training, and deployment—accelerating the development and scalability of AI models critical for powering autonomous vehicles. Read their full article here: https://lnkd.in/gcN94Thd #Ray #AI
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Join Kai-Hsun Chen and the Anyscale Team on Tues 10/29 for our next Ray Meetup! We'll be talking all things distributed computing and how it's being applied in real-world AI projects. Whether you're new to this or have some experience, there's something for everyone. Don't miss out—sign up here: https://lu.ma/biporq36 #RayMeetup #AI #Anyscale #Ray
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Introducing the AI Compute Engine: Ray In an interview with SiliconANGLE & theCUBE at Ray Summit 2024, Robert Nishihara explains the "AI Complexity Wall"—as AI scales, managing compute resources, data movement, and accelerators becomes increasingly challenging. Ray simplifies these complexities by managing compute resources including CPUs and GPUs, optimizing data movement, and streamlining workload execution—making it easier to scale across diverse data types and accelerators. Watch the full interview here: https://lnkd.in/gf2-WsV3
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Ray Summit 2024 delivered exciting product announcements and key insights into the future of scalable AI 🚀 Highlights include: 🔹 Breaking down the AI Complexity Wall 🚧 with Ray as the AI Compute Engine to power scalable AI 🙌 🔹 RayTurbo Anyscale's supercharged Ray runtime 🔹 Introducing the Anyscale Operator for Kubernetes 🔹 Announcing Anyscale availability on Google Cloud Partners and Amazon Web Services (AWS) Marketplaces ...just to name a few! Missed the event or keynotes? 🤔 No worries—catch all the highlights from Day 1 below 👇 https://lnkd.in/g8wHHcqh