Joanne Lei
Joanne Lei is a Solution Architect whose work focuses on designing, building, and deploying Cloud native application and infrastructure, with specialization in optimizing AIML workloads on GPU and deploying them in production. She earned a BSECE degree from UT Austin.
Recent Blogs
Serving LLM using HuggingFace and Kubernetes on OCI - Part II
As a follow-up to a previous post, this dives deeper into building Docker images for model-downloader and the web inference client, enabling an interactive demo for your fine-tuned model.
Serving LLMs using HuggingFace and Kubernetes on OCI
In this blog post, I will demonstrate how to deploy fine-tuned LLM inference containers on OKE, an OCI managed Kubernetes service that simplifies deployments and operations at scale for enterprises.
Serve ML models at scale with NVIDIA Triton Inference Server on OKE
In this blog, you will find out how to deploy ML models at scale to deliver high performing and cost-effective inference service on OCI.
MLPerf: Benchmark multinode ML training on OCI
First of a multi-part blog series that goes over the MLPerf benchmark on OCI bare metal GPU cluster.
Accelerate distributed deep learning with OCI
This blog explain how OCI can accelerate customer's deep learning training with multinode GPU cluster.