Robert Nishihara
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- Ray Summit2 editions2020–2021
all 8 in the filters
on a stage with
- DMYTRO DZHULGAKOVonce
- Ion Stoicaonce
- Jana van Greunenonce
all 7 in the filters
who talks about the same things
- Simon Mo7 talks
- Ion Stoica40 talks
- Susan Wu7 talks
- Mofi Rahman16 talks
- Abdel Sghiouar29 talks
- Jules S. Damji7 talks
| title | conference | date |
|---|---|---|
| Ray: A Distributed Compute Engine for AI | PyTorch Conference 2025 | 2025-10-22 |
Ray claims to be a general distributed compute engine built for modern AI, reporting 7x downloads last year and adoption by thousands of companies. It exposes… | ||
| An Open Source Post-Training Stack: Kubernetes + Ray + PyTorch + vLLM | PyTorch Conference 2025 | 2025-10-22 |
An open source stack using Kubernetes + Ray + PyTorch + vLLM runs post‑training workloads by letting Kubernetes provision nodes, Ray orchestrate heterogeneous… | ||
| Panel Discussion: Training and Inference at Planet Scale | AI Infra Summit at PyTorch Conference 2025 | 2025-10-21 |
Panel covers concrete engineering moves: using five- or six-dimensional parallelism and mixture-of-experts sharding, splitting prefill vs decode into separate… | ||
| Keynote: An Open-Source Stack for AI Compute: Kubernetes + Ray + PyTorch + vLLM | Open Source Summit North America 2025 | 2025-06-23 |
Slides argue a reproducible stack that wires Kubernetes + Ray + PyTorch + vLLM to handle training, multimodal data processing, and serving at scale. Ray… | ||
| Keynote: How LLMs Have Changed the Way Organizations Do AI | AI.dev: Open Source GenAI & ML Summit North America 2023 | 2023-12-12 |
Describes concrete lessons from deploying LLMs with Ray and growing hardware fleets, including organizations using dozens, hundreds, or thousands of GPUs; lays… | ||
| Keynote: How LLMs Have Changed the Way Organizations Do AI | Cassandra Summit 2023 | 2023-12-12 |
Notes on LLM adoption: organizations move from a fast build-and-learn phase into a scale-and-optimize phase, shifting priorities from quality to cost, latency… | ||
| Secure, private LLMs in your cloud with Anyscale Endpoints | AWS re:Invent 2023 | 2023-11-27 |
Anyscale shows a deployable LLM stack built on Ray that runs in your AWS account and on Inferentia/Trainium, with optimizations like speculative decoding and… | ||
| [Opening Keynote] State of Ray | Ray Summit 2021 | 2021-06-22 |
Ray reports concrete growth and engineering wins: 480 contributors and production wins like XGBoost running 5x faster on Ray and Dask workloads running 13x… | ||
| Keynote: The Future of Ray | Ray Summit 2020 | 2020-09-30 |
Community grows from a handful to over 350 contributors from 75 companies, and the release of Ray 1.0 locks core API stability while adding automatic… | ||
| Ray: A distributed system for emerging AI applications | Strange Loop 2018 | 2018-09-26 |
Ray is an open source distributed system that implements task and actor abstractions for Python ML workloads, with a C++ backend, Python workers, an in‑memory… | ||
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