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.
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.
Thrilled to be working with the AWS EKS team as a launch partner for our new Anyscale Operator for Kubernetes!
Reach out to our team and see how RayTurbo on EKS can supercharge your AI Platform.
https://lnkd.in/gAYxqUJ3
I'm really excited about Anyscale expanding RayTurbo to run on EKS. If you're using Ray or Kubernetes for AI Training or Inference, this is worth a look.
Last chance to join our webinar TODAY on RayTurbo! RayTurbo delivers improved performance, cost, and efficiency for workloads ranging from data processing to model training and model serving.
Come learn why RayTurbo is the leading option for Ray users to supercharge their AI initiatives.
https://lnkd.in/egfumWWM
Ray powers 1M+ clusters monthly across top organizations, setting the standard for AI workloads.
Anyscale’s RayTurbo optimizes Ray, delivering 4.5x faster data processing, up to 60% lower costs, and more efficient model serving—essential for scaling AI workloads.
Learn more about RayTurbo at our webinar tomorrow, October 10 🚀
Don't miss out on learning how RayTurbo can supercharge your AI initiatives.
Register today! https://lnkd.in/egfumWWM
Want to learn more about RayTurbo?
Join our Oct 10 webinar to explore how it delivers:
✅ Up to 4.5x faster data processing compared to Open Source Ray
✅ Up to 6x lower LLM batch inference costs compared to Bedrock
✅ Up to 60% lower costs with spot instances compared to Open Source Ray
✅ Up to 50% fewer nodes for online model serving compared to Open Source Ray
✅ Up to 60% higher QPS with optimized Ray Serve compared to Open Source Ray
Plus, get insights from AI experts and a live Q&A!
Sign up today: https://lnkd.in/egfumWWM
Keerti is speaking at a panel to discuss product-market fit in AI, with leaders from HSBC, Pinecone, and Mistral AI, to kick off the a16z #techweek.
If you’re in SF this week, check out the many events happening in the tech week here: https://lnkd.in/gEKShgNM
Still riding high after an incredible Ray Summit 2024!
The buzz from all the major announcements is still going strong.
A few highlights:
🔹 Ray's compiled graphs API delivers 17x faster GPU speeds.
🔹 Ray Data is now GA, revolutionizing AI data processing—
Amazon's already saving big!
🔹 Anyscale’s RayTurbo is cutting LLM costs by up to 6x
Catch all the details here: https://lnkd.in/gXE4MNJi#RaySummit2024#AI
At #RaySummit2024 we talked about the 5 major trends in AI and how they are causing an AI Complexity Wall. We introduced the AI Compute Engine—the best way to break through this wall.
The 5 AI trends:
1️⃣ Scale: AI compute needs are growing 5x yearly.
2️⃣ Multi-Modal Data: AI is expanding across data types.
3️⃣ Sophisticated Post-Training: AI training now involves complex optimization.
4️⃣ AI powers AI: AI Automation is transforming industries.
5️⃣ Compound AI and Agentic Systems: Multiple models increase infrastructure demands
These trends are driving rapid innovation, pushing the limits of AI’s potential.
But they’ve also led to an AI Complexity Wall 🚧, where scaling and managing infrastructure create new challenges.
Ray breaks through this wall, providing powerful distributed computing that simplifies scaling and accelerates AI development.
Those leveraging Ray are reshaping industries and solving massive real-world problems with cutting-edge AI ⚡
Anyscale is the Unified Compute Platform, empowering teams to scale, innovate, and succeed with Ray 🚀
AI is changing every industry. AI itself is changing. This change is powered by Ray.
https://lnkd.in/g7CtaJ_J
Thrilled to announce the Anyscale Operator for Kubernetes 🎉
The Anyscale Operator supercharges Ray on your Kubernetes clusters by handling configurations, dependencies, and security, all while being highly customizable to fit seamlessly into YOUR existing AI platform. 🙌
Thankful to our launch partners Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Partners 🤝
Check out all the details in our latest blog: https://lnkd.in/gu94tmW8
Introducing Enterprise Governance and Observability on Anyscale!
Anyscale's governance suite provides quota management, budgeting, and complete visibility into all of your AI workloads.
Learn more in our blog:
https://lnkd.in/gtXnr9V9