Optimizing memory usage in large language models fine-tuning with KAITO: Best practices from Phi-3
The Cloud Native team at Azure is working to make AI on Kubernetes more cost-effective and approachable for…
Content type: Tutorials and demos
Hyperlight Wasm: Fast, secure, and OS-free
We're announcing the release of Hyperlight Wasm: a Hyperlight virtual machine (VM) “micro-guest.”
Hyperlight: Achieving 0.0009-second micro-VM execution time
In this post, we’ll take the demo application and show how it demonstrates one way you can use…
Introducing Hyperlight: Virtual machine-based security for functions at scale
The Microsoft Azure Core Upstream team is excited to announce the Hyperlight project.
Distributing WebAssembly components using OCI registries
As the cloud-native space keeps evolving at a rapid pace, WebAssembly is emerging as a promising alternative to…
Project Copacetic: Quick and efficient container image patching
Project Copacetic simplifies container image patching with a CLI tool and Docker Desktop extension.
Introducing Bash for Beginners
On Azure, more than 50 percent of virtual machine (VM) cores run on Linux. There is no better…
Performant on-device inferencing with ONNX Runtime
The team at Pieces shares the problems and solutions evaluated for their on-device model serving stack and how…
Improve BERT inference speed by combining the power of Optimum, OpenVINO™, ONNX Runtime, and Azure
Make large models smaller and faster with OpenVino Execution Provider, NNCF and ONNX Runtime leveraging Azure Machine Learning.
Towards debuggability and secure deployments of eBPF programs on Windows
eBPF for Windows native code generation is a new mode of execution that maintains the integrity of the…
Hugging Face Transformers now enabled in Apache OpenNLP by ONNX Runtime
We’re excited to share the recent integration of ONNX Runtime in Apache OpenNLP! Apache OpenNLP is a Java…
Simple steps to create scalable processes to deploy ML models as microservices
This post was co-authored by Alejandro Saucedo, Director of Machine Learning Engineering at Seldon Technologies. About the co-author:…