The Lenovo ThinkPad T14s Gen 6 with AMD Ryzen AI 300 Series
Analyzing the new Lenovo ThinkPad T14s Gen 6 laptop with the Ryzen AI 7 PRO processor on merits of performance, AI capabilities, and productivity and creation.
MLPerf Inference v5.0: New Workloads & New Hardware
The MLCommons consortium has just released the results of its MLPerf Inference v5.0 benchmarks, providing new data for IT consumers looking to deploy AI workloads either on premise or in the cloud.
Intel Gaudi 3 Accelerates AI at Scale on IBM Cloud
A new collaboration between Intel and IBM brings support for Intel Gaudi 3 AI accelerators to IBM Cloud, making it the first cloud service provider to adopt Gaudi 3.
IBM Granite Benchmarking and Enterprise Readiness
This paper discusses an overview of LLM evaluation criteria and reviews the performance of IBM Granite models in several key areas.
The New AI Accelerator Economic Landscape
Without question, one of the leading topics of conversation within the world of IT is that of artificial intelligence, with almost no subject having gained traction faster in the past 30 years.
AMD Ryzen™ AI PRO Processor Leadership and TCO Benefits
Migrating to AMD Ryzen™ AI PRO laptops can save enterprises millions of dollars in acquisition costs and employee time.
NVIDIA GeForce RTX 5090 Founders Edition Performance Analysis
Announced just a few short weeks ago at CES 2025, the NVIDIA GeForce RTX 5090 is one step closer today as press and analysts have now had time with the card and are able to talk about performance, power, and features.
Building Power Efficient AI Data Centers with Solidigm QLC SSDs
AI has become a top priority for organizations due to its vast potential for innovation. Building AI data centers, however, presents significant challenges.
MLPerf Client v0.5 Benchmark Brings MLCommons to PCs
The new MLPerf Client benchmark tool marks a step forward for the industry, helping address a gap in the assessment of AI capabilities on consumer devices such as desktop PCs and laptops.
Leading AI Scalability Benchmarks with Microsoft Azure
Companies are now exploring options for developing and deploying AI applications both on premises and in public clouds. This trend is occurring across nearly all vertical segments and enterprise classes, with virtually all businesses affected by the drive to adopt AI implementations.