Innovation today demands more than just visionary ideas; it requires robust infrastructure, especially for AI. Intel's latest processors offer scalable, efficient solutions to overcome IT challenges, enabling organizations to implement strategic initiatives effectively. Discover how Intel and WWT can help your business achieve its AI-driven goals.

Widely available GPU-accelerated servers, combined with better hardware and popular programming languages like Python and C/C++, along with frameworks such as PyTorch, TensorFlow and JAX, simplify the development of GPU-accelerated ML applications. These applications serve diverse purposes, from medical research to self-driving vehicles, relying on large datasets and GPU clusters for training deep neural networks. Inference frameworks apply knowledge from trained models to new data with optimized clusters for performance. The learning cycles involved in AI workloads can take days or weeks, and high-latency communication between server clusters can significantly impact completion times or result in failure. AI workloads demand low-latency, lossless networks, requiring appropriate hardware, software features, and configurations. This article will explain advanced queueing solutions used by all the major OEMs in the Network Operating Systems (NOS) that support ECN and PFC.

Intel's Advanced Matrix Extensions (AMX) in 5th-gen Xeon processors revolutionize AI computing by enabling efficient matrix operations directly on CPUs. Supporting models with up to 13 billion parameters, AMX offers a cost-effective and power-efficient alternative to GPUs, simplifying AI deployment and democratizing access to high-performance AI capabilities across diverse sectors.

Broadcom and AMD's collaboration aims to revolutionize enterprise AI with a secure, high-performance infrastructure. By integrating VMware Cloud Foundation (VCF) with AMD's AI software and GPUs, they address privacy, flexibility, cost and scalability challenges, enabling efficient AI model deployment and management. This partnership creates AI solutions for diverse enterprise needs.

HPE will be one of the first OEMs to adopt the AMD "Helios" architecture, an open, full-stack AI platform engineered for large-scale AI workloads.

Explore use cases about AMD's role in advancing sovereign AI infrastructure — empowering nations and institutions to build and control their own AI and HPC capabilities with open hardware and software foundations.

Red Hat and NVIDIA expand their collaboration to revolutionize enterprise AI with Red Hat Enterprise Linux for NVIDIA. This partnership aims to optimize AI infrastructure, offering Day 0 support for NVIDIA's latest architectures, enhancing security, and ensuring seamless integration across hybrid cloud environments, thus empowering organizations to scale AI confidently and efficiently.

AMD and OpenAI's strategic partnership will power next-gen AI infrastructure with 6 gigawatts of AMD Instinct GPUs, starting with MI450 in 2026. This collaboration accelerates AI advancements, aligning strategic interests and creating significant shareholder value, while enabling large-scale AI deployments and advancing the entire ecosystem.

Read about the exciting announcements Dr. Lisa Su, AMD executives, and industry luminaries unveiled at AMD's Advancing AI 2025 Keynote event

High-performance storage and a comprehensive data strategy are both critical to maximizing the benefits of GenAI solutions, which can generate and consume massive amounts of data

Generative AI is evolving, shifting from raw performance to balancing efficiency, cost, and security. As AI matures, organizations must optimize infrastructure and prioritize power efficiency to reduce costs and risks. Adapting to these changes ensures a competitive edge and fosters continued innovation in the rapidly advancing AI landscape.

Servers based on AMD EPYC 9005 Series processors offer leadership performance, density and efficiency to support the most demanding data center initiatives today: everything from corporate AI enablement and large-scale hybrid cloud buildouts to business-critical enterprise applications.