AI is one of the most transformative technologies to debut in the past 40 years, but taking full advantage of its capabilities requires more than just the latest processor or graphics card. Previous major shifts in computing, like the adoption of 64-bit software and the introduction of 3D-accelerated graphics in the late 1990s, required significant software support as well as sophisticated new hardware capabilities. Today, AMD and Microsoft are stepping up to this challenge, working together to create the building blocks developers and consumers will need to take full advantage of AI both today and in the future.

At AMD we believe the future of AI will be pervasive, positively disrupting virtually every industry and improving the products and services we use daily. Learn more about our approach to AI and our newly formed AI Group.

We are happy to announce the new availability of the TensorFlow-ZenDNN plug-in for TensorFlow v2.12 and above, improving the accessibility of ZenDNN optimizations for the community via framework upstreaming. Learn more in this blog.

The AMD Vitis™ AI platform 3.0 release offers upgraded capabilities for AI inference development. Read this blog to learn about the product upgrades and benefits of adopting the Vitis AI 3.0 platform. 

Any attempt to predict the future of mobile PC computing must first grapple with how much things have changed in just the past few years. The market AMD faces in 2023 is substantially different compared to just three years ago. The pandemic and associated increase in working from home drove enormous growth in laptop sales. PC sales soared.   

New accelerated libraries enable customers to get their medical imaging products to market faster by reducing development times.

Read how Moreh and KT were able to supercharge their AI workloads with AMD Instinct™ MI250 accelerators.

As a widely loved AI acceleration development platform, Vitis AI has ushered in a new release, which is now available on June 15th.

We expect AI to play a more critical role in different workloads and device platforms. With tremendous market demand from the data center to the edge, AMD Xilinx has focused on expanding and enhancing the functions of Vitis AI to provide faster AI acceleration. This article provides an overview of the new and enhanced features in the 2.5 release.

Vitis AI 2.0 is now available! As the most comprehensive software-based AI acceleration solution on Xilinx FPGAs and adaptive SoCs, Vitis AI continues to bring value and competitiveness to users’ AI products. With this release, the Vitis AI solution is easier to use and provides additional performance improvements at the edge and data center. This Webinar will introduce the new product features including models, software tools, deep learning processing units, and the latest performance information. 

We are excited to announce that for a limited time, you can purchase the VCK5000 Versal development card for AI inference for just $2,495! If you're developing AI inference workloads with pre-built Vitis AI accelerators, be sure to take advantage of this limited-time price.

Delivering 100X greater compute power than today’s server-class CPUs and greater MLPerf inference performance than today’s server-class GPUs, the VCK5000 is an ideal development platform for cloud acceleration and edge computing applications.