Emerging Technologies Focus: AI
Current Projects
Latest Blog Posts
Understanding Triton Cache: Optimizing GPU Kernel Compilation
The goal of this blog post is to explore Triton’s caching mechanism: how it works, what affects it, how different frameworks leverage it, and how you can optimize it for your specific workloads.
Model authenticity and transparency with Sigstore
What is the Sigstore model transparency project? Sigstore’s Model Transparency project is a Sigstore community project aimed at applying the software supply chain security practice of signing to machine learning (ML) models. Hosted on Github at...
A container-first approach to Triton development
The Triton project from OpenAI is at the forefront of a groundbreaking movement to democratize AI accelerators and GPU kernel programming. It provides a powerful and flexible framework for writing high performance GPU kernels. As AI workloads become increasingly...
Getting started with PyTorch and Triton on AMD GPUs using the Red Hat Universal Base Image
In a prior blog post, we provided an overview of the Triton language and its ecosystem. Triton is a Python based DSL (Domain Specific Language), compiler and related tooling designed for writing efficient GPU kernels in a hardware-agnostic manner, offering high-level...
User experience and its importance in adoption of democratized AI
"An intuitive and accessible UI is critical to even the most powerful AI system" As artificial intelligence (AI) continues to evolve, its influence spans across industries, transforming operations and enhancing decision-making processes. At this point in time, I...