Rafael Vasquez
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Christian Kadneronce
who talks about the same things
- Dan Sun7 talks
- Paul Van Eck3 talks
- Christian Kadner8 talks
- Abdel Sghiouar29 talks
- Tessa Pham4 talks
- Junchen Jiang16 talks
| title | conference | date |
|---|---|---|
| Fast Inference, Furious Scaling: Leveraging VLLM With KServe | AI_dev Europe 2025 | 2025-08-28 |
vLLM claims to cut KV cache memory waste from 60–80% to about 4% by using vLLM paged attention, plus continuous batching and custom CUDA kernels to boost… | ||
| Fast Inference, Furious Scaling: Leveraging VLLM With KServe | Open Source Summit North America 2025 | 2025-06-23 |
vLLM claims major inference gains by cutting KV‑cache waste from roughly 60–80% down to ~4% using PagedAttention, plus speedups from continuous batching and… | ||
| Consume and Serve Using Caikit and ModelMesh | AI.dev: Open Source GenAI & ML Summit North America 2023 | 2023-12-12 |
Caikit provides a runtime-and-module toolkit with ready data models and a GitHub template that wraps Hugging Face pipelines into simple REST/gRPC endpoints and… | ||
| Workshop: Prompt Engineering with Watsonx | AI.dev: Open Source GenAI & ML Summit North America 2023 | 2023-12-12 |
Hands-on walkthrough of Watsonx Prompt Lab that shows live edits beating guesswork: swap models (flan_ul2, Llama 2, StarCoder), raise max tokens to avoid… | ||
| What's New, ModelMesh? Model Serving at Scale | Open AI + Data Forum @ Open Source Summit North America 2023 | 2023-05-10 |
KServe’s ModelMesh serves as a Kubernetes multi-model backend that hosts 60,000 models managed while keeping only about 5,000 in memory, using a distributed… | ||
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