🚀We're thrilled to have Harrison Chase, Co-founder & CEO of LangChain, as a keynote at #RaySummit 2024! Don't miss hearing Harrison break down how LangChain is using Ray to scale cutting-edge AI and LLMs. If you’re into AI at scale, this is a must-see. Sign up today: https://t.co/GWgjw0V3jy
Anyscale
Software Development
San Francisco, California 30,332 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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🚀 Big announcements coming at #RaySummit! 🚀 Anyscale is rolling out new products, key upgrades, enhancements, and innovations that will take #AI & #ML to the next level. Don’t miss what’s coming 🙌 Sign up today: https://lnkd.in/gWTKRzwc
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Anyscale reposted this
It is pretty crazy to see that vLLM just keeps getting faster. With today’s release, vLLM 0.6.0 gives users: - 5x faster latency for Llama3 8b on H100 - 2x faster latency for Llama3 70b on H100 Whats the key difference? Previously, there was quite a bit of overhead in the scheduling layer of vLLM. With better design, the team was able to trim down a significant portion of the overhead from the critical path. 🚢 Key contributions to call out: - Batch scheduling of multiple decode steps (contributed by Will Lin and Cody Yu from Anyscale, and Antoni Baum who is now at OAI) - Asynchronous output processing (from Databricks and NeuralMagic)
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🚨 Anyscale Leadership Speaker Session Alert 🚨 Ready to break down the AI complexity wall? Join Robert Nishihara, Co-Founder of Anyscale, at #RaySummit as he reveals how companies can overcome the toughest AI challenges. Don’t miss out on strategies that could redefine your AI roadmap. Sign up today! https://lnkd.in/gWTKRzwc
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Anyscale reposted this
In 5 of 8 recent conversations, ML platform leaders told me that their top priority over the next 6 months is to enable training on more data (e.g., an order of magnitude more). There's a simple reason. Scaling laws. The idea that larger models + data + compute can lead to better results (not just in language modeling) makes this extremely high value. It also places a ton of responsibility and importance on ML platform teams because 1. Every new model will be trained on much more data. 2. So infra / platforms must be constantly revamped to handle greater scale. 3. So infra / platforms are always going to be on the critical path for new model releases and therefore introduce significant risk. We'll be featuring a ton of deep technical content at #RaySummit on how platform teams have solved these issues. Everything from AI at Meta on the low-level details of how the Llama models were trained to how scaling laws apply in multimodal settings and what these laws mean for internal ML platform teams. https://lnkd.in/gMVdCgiK Figure from https://lnkd.in/dquZPYHe.
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Join us for an exciting webinar with Anyscale and Amazon Web Services (AWS) on optmizing LLM inference with Ray, AWSNeuron, vLLM, and Anyscale 🚀 Learn how to scale your ML projects efficiently with expert insights. Don’t miss out—register now! https://t.co/2NIESofWLA
Scaling LLMs for production? Join our webinar with AWS on September 12th at 10am PST to find out how to do it efficiently and cost-effectively. 🔎 Learn how to: • Use AWS Inferentia for optimal price-performance. • Build a full LLM inference stack with vLLM, Ray, & EKS. • Optimize LLM inference with Anyscale’s enterprise features. 🚀 Don't miss it! Sign up today: https://lnkd.in/gbFZEg49
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📣 Anyscale Leadership Speaker Session Alert! Join Ion Stoica, Co-founder of Anyscale at #RaySummit as he discusses the rise of AI platform companies and their role in shaping the future of AI innovation. Gain valuable insights into this emerging landscape! 🚀 Don't miss out, sign up here: https://lnkd.in/gWTKRzwc
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🚨 #RaySummit speaker session alert! 🚨 Motional is scaling autonomous driving with Ray 🚀 Learn how they cut training data prep from weeks to hours and sped up model evaluation by 100X. Discover how Ray is driving innovation in robotaxi service 🙌 Sign up today: https://lnkd.in/gWTKRzwc
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🚨#RaySummit speaker session alert!🚨 Join Runhouse as they reveal a new system that transforms Ray from single-player per cluster to multiplayer 🚀 Discover how they're overcoming cluster restrictions and introducing a collaborative UI, making AI resources accessible—like a Google Drive for AI 🙌 Don't miss it, sign up today: https://lnkd.in/gWTKRzwc
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Scaling LLMs for production? Join our webinar with AWS on September 12th at 10am PST to find out how to do it efficiently and cost-effectively. 🔎 Learn how to: • Use AWS Inferentia for optimal price-performance. • Build a full LLM inference stack with vLLM, Ray, & EKS. • Optimize LLM inference with Anyscale’s enterprise features. 🚀 Don't miss it! Sign up today: https://lnkd.in/gbFZEg49
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