London Ray Meetup hosted by Balderton Capital: Building and Training Smarter AI with Ray
We'll be hosting a meetup in London for the Ray & AI/ML community at the Balderton Capital office building. Stay tuned for more details!
Hear from experts on distributed training, best practices for infrastructure, and real-world insights from practitioners using Ray in production. Whether you are building your first LLM service or optimizing large-scale deployments, this is a great chance to connect with the local London Ray and MLOps community, share your experiences, and learn from those solving the hardest scaling challenges in AI today.
Agenda:
6.00pm Welcome & Networking
6.30pm-7.30pm Technical talks:
Ray & Anyscale for Distributed Training
Ali Sezer, Field Engineering Lead @ Anyscale: An overview of how Ray and Anyscale help teams scale from a single machine to large clusters for distributed training and inference. We will walk through common patterns, cluster management, and how Anyscale simplifies operating Ray in production.
PhysicsX: Using Ray to train Large Physics Models
Weights & Biases: Scaling AI, Not Infrastructure: Serverless RL for Specialized LLMs
7.30pm-830pm: Q&A and Networking
Whether you’re just starting with Ray or already running distributed workloads in production, this is a chance to connect with fellow practitioners, exchange ideas, and see how others are building and training smarter AI systems at scale.
See you there!
Want to experience how Anyscale simplifies running Ray in production? Try it for free here.
Speakers:
Ali Sezer - Director of Engineering @ Anyscale
Douglas Boubert - Principal Research Scientist @ PhysicsX
Hayden Dorahy - Machine Learning Engineer, Research @ PhysicsX
Edmund Kuras, AI Solutions Engineer @ Weights & Biases
About Anyscale
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.
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