tag: AI workloads

Rethinking AI-Scale Data Center Validation
By Keysight - 27 May, 2026 - Comments: 0

The rapid growth of AI workloads is transforming AI data center networking, exposing critical limitations in traditional Ethernet validation and network testing methodologies. As data centers adopt 1.6T Ethernet, 224G SerDes and optical lanes, and tightly coupled GPU fabrics, networks must deliver ultra-high bandwidth, low latency, and predictable performance under dynamic east-west traffic con... » read more

GPU Power Prediction Tool for AI Workloads (MIT, IBM)
By Technical Paper Link - 05 May, 2026 - Comments: 0

A new technical paper, "EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads," was published by researchers at MIT and IBM Research. Abstract "As AI workloads drive increases in datacenter power consumption, accurate GPU power estimation is critical for proactive power management. However, existing power models face a scalability bottleneck not in the modeling tec... » read more

What Designers Need to Know About UALink for Scalable AI Systems
By Synopsys - 25 Feb, 2026 - Comments: 0

As AI workloads rapidly scale, interconnect performance, latency, and memory access become critical bottlenecks. This white paper explores how the UALink protocol enables high-speed, low-latency, and secure GPU-to-GPU communication, unlocking scalable AI architectures beyond traditional limits. Key Takeaways: Learn how UALink enables efficient GPU memory pooling at scale Understand U... » read more

Future-Proofing System Design
By Expedera - 11 Feb, 2026 - Comments: 0

This whitepaper has explored how converging forces—AI-driven workloads, heterogeneous integration, and increasingly complex security requirements—are transforming design priorities. Adaptability, openness, and lifecycle management are no longer secondary considerations but core architectural imperatives. Standardization through initiatives such as UCIe and OCP fosters interoperability and s... » read more

From Reactive Monitoring To Proactive Optimization: The Next Evolution In Data Center Design And Infrastructure Management (Ebook)
By Cadence - 14 Jan, 2026 - Comments: 0

Data centers are under more pressure than ever. Surging AI workloads, rising energy consumption, and increasingly complex cooling and power systems are pushing traditional DCIM (Data Center Infrastructure Management) tools to their limits. To stay competitive, operators must shift from reactive monitoring to proactive, simulation-driven optimization. Our free eBook reveals how leading organi... » read more

AI Workloads at the Edge: Ensuring Performance, Privacy, and Security
By Ann Mutschler - 17 Dec, 2025 - Comments: 0

Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss why some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president a... » read more

Optimizing AI Workloads For Edge Computing
By Ann Mutschler - 03 Dec, 2025 - Comments: 0

Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president an... » read more

From Bottleneck to Breakthrough: Scalable Fabric IP for High- Bandwidth AI and HPC Systems
By Baya Systems - 24 Nov, 2025 - Comments: 0

As compute density and heterogeneity grow rapidly in modern SoCs targeting high-performance computing (HPC) and artificial intelligence (AI) workloads, efficient data movement has emerged as a critical performance and power bottleneck. With increasing core counts, high-speed accelerators, and complex memory hierarchies, traditional bus and crossbar-based interconnects fail to scale, resulting i... » read more

High Bandwidth Memory (HBM): Everything You Need To Know
By Rambus - 12 Nov, 2025 - Comments: 0

In an era where data-intensive applications, from AI and machine learning to high-performance computing (HPC) and gaming, are pushing the limits of traditional memory architectures, High Bandwidth Memory (HBM) has emerged as a high-performance, power-efficient solution. As industries demand faster, higher throughput processing, understanding HBM’s architecture, benefits, and evolving role in ... » read more

Why Arm For Cloud: At A Glance
By Arm - 12 Nov, 2025 - Comments: 0

This report explores the performance and cost-efficiency benefits of Arm processors on AWS, specifically examining Arm Neoverse-powered AWS Graviton4 processors in comparison to the latest available generation AMD and Intel based AWS EC2 alternatives. As detailed in this Lab Insight Report, Signal65 conducted hands on performance testing and cost efficiency analysis across four distinct workloa... » read more

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