12 results found

Using PFC and ECN queuing methods to create lossless fabrics for AI/ML

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.
Article
•Jun 25, 2024

Don't let aging technology hinder corporate goals – enable your IT infrastructure

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.
Article
•Nov 21, 2024

Unlocking AI Performance with Intel's AMX Accelerator in 5th-Gen Xeon Processors

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.
Article
•Sep 22, 2025

Partner POV | AMD Instinct MI350 Series and Beyond: Accelerating the Future of AI and HPC

Read about the exciting announcements Dr. Lisa Su, AMD executives, and industry luminaries unveiled at AMD's Advancing AI 2025 Keynote event
Partner Contribution
•Jun 12, 2025

Partner POV | Vertiv™ PowerNexus: Reduce space, time, and cost while achieving power resilience in the age of AI

In the face of increasing power demands brought by HPC services, the efficient use of whitespace and reliable energy distribution and management systems become top priorities.
Partner Contribution
•Feb 17, 2025

Partner POV | Futuristic AI needs futuristic data centers, and it's just starting

Read this article from Schneider Electric to learn from experts about the demand for AI computing to train LLMs and the importance of robust IT infrastructure to support AI applications.
Partner Contribution
•Nov 7, 2024

AMD and OpenAI Announce Strategic Partnership to Deploy 6 Gigawatts of AMD GPUs

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.
Partner Contribution
•Oct 6, 2025

Partner POV | Optimizing AI for Scaled Adoption

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.
Partner Contribution
•Jun 11, 2025

7 Steps for Integrating High-Performance Storage (HPS) into AI Environments

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
Article
•Apr 23, 2024

Partner POV | Accelerating Enterprise Insights: Pure Storage and NVIDIA AI Data Platform Empowers Precision Reasoning at Scale

Delayed insights mean missed opportunities. With a Pure Storage-powered NVIDIA AI Data Platform, organizations can turn huge volumes of data into real-time intelligence. In today's fast-paced business world, milliseconds matter. The NVIDIA AI Data Platform, integrated with FlashBlade//EXA and Portworx, enables organizations to not just accelerate inference but also unlock precision reasoning at scale.
Partner Contribution
•Jun 25, 2025

Partner POV | 5 Reasons to Choose AMD EPYC 9005 Processors for Cloud, Enterprise and AI

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.
Partner Contribution
•Dec 3, 2024

Partner POV | Introducing the AMD Instinct™ MI300 Series accelerators, Powering the Growth of AI and HPC at Scale

This article discusses the growing demand for high-performance computing (HPC) and artificial intelligence (AI) applications and how AMD is addressing these needs with their AMD Instinct MI300 Series accelerators and AMD CDNA 3 architecture.
Partner Contribution
•Jan 4, 2024