Openxla Domain Overview🔒 SSL Verified

Table of Contents

• ↓ XLA
• ↓ StableHLO
• ↓ Shardy
• ↓ XProf
• ↓ PJRT
• ↓ Community
• ↓ Top Alternatives to openxla.org

6-Month Traffic Trend Estimate

Official Contact & Profiles

Visual representation extracted from openxla.org

Content Snippets from openxla.org

"“At Alibaba, OpenXLA is leveraged by Elastic GPU Service customers for training and serving of large PyTorch models. We've seen significant performance improvements for customers using OpenXLA, notably speed-ups of 72% for GPT2 and 88% for Swin Transformer on NVIDIA GPUs. We're proud to be a founding member of the OpenXLA Project and work with the open-source community to develop an advanced ML compiler that delivers superior performance and user experience for Alibaba Cloud customers.” - Yangqing Jia, VP, AI and Data Analytics, Alibaba"

"“We're excited to be a founding member of the OpenXLA Project, which will democratize access to performant, scalable, and extensible AI infrastructure as well as further collaboration within the open source community to drive innovation. At AWS, our customers scale their generative AI applications on AWS Trainium and Inferentia and our Neuron SDK relies on XLA to optimize ML models for high performance and best in class performance per watt. With a robust OpenXLA ecosystem, developers can continue innovating and delivering great performance with a sustainable ML infrastructure, and know that their code is portable to use on their choice of hardware.” - Nafea Bshara, Vice President and Distinguished Engineer, AWS"

"“We are excited about the future direction of OpenXLA on the broad family of AMD devices (CPUs, GPUs, AIE) and are proud to be part of this community. We value projects with open governance, flexible and broad applicability, cutting edge features and top-notch performance and are looking forward to the continued collaboration to expand open source ecosystem for ML developers.” - Alan Lee, Corporate Vice President, Software Development, AMD"

""Anyscale develops open and scalable technologies like Ray to help AI practitioners develop their applications faster and make them available to more users. Recently we partnered with the ALPA project to use OpenXLA to show high-performance model training for Large Language models at scale. We are glad to participate in OpenXLA and excited how this open source effort enables running AI workloads on a wider variety of hardware platforms efficiently, thereby lowering the barrier of entry, reducing costs and advancing the field of AI faster." - Philipp Moritz, CTO, Anyscale"

Key Topics & Focus Areas for openxla.org:

XLA

StableHLO

Shardy

XProf

PJRT

Community