Read Paul Teichs our Senior Analyst, Forbes articles as he writes about new technologies and usage models transforming business. Paul focuses on what is important, new, different and possibly disruptive about a wide range of technologies. He has been in high-tech for over three decades, including serving as a corporate strategy director for datacenter products at a global technology vendor. Paul speaks to audiences as diverse as product engineers and institutional investors. Paul also received his MS in Technology Commercialization from the University of Texas’ McCombs School of Business and has received 12 US patents while working in marketing and strategy roles.
HPE recently completed its acquisition of Cray, after doing the same with SGI just three years ago. Due to consolidation, top merchant supercomputer vendors (as opposed to government entities building their own) now include server OEMs Dell, HPE and IBM based in North America, Fujitsu in Japan and Atos Bull in Europe. Inspur, Lenovo and…
Well over 90% of cloud Infrastructure-as-a-Service (IaaS) instance types are based on Intel Xeon processors. Will AMD EPYC processors take significant cloud market share from Intel, or will some other server processor give both AMD and Intel substantial competition in the cloud? Intel and AMD took over the server processor market in the mid-2000s. This…
Investors are at a disadvantage, because the the cloud industry is opaque. Investors need transparency into the cloud computing supply chain to assess vendor sales claims and mitigate financial risk. But that kind of transparency is hard to achieve with traditional industry analysis tools. How can investors make informed decisions about the cloud service providers…
Many companies want to compete with NVIDIA in the cloud. They all want a chunk of the AI-based “Inference-as-a-Service” applications that NVIDIA has enabled over the past few years. Gaining significant market share against NVIDIA is going to be more difficult than most of them realize. Xilinx seems to be in the best position to capture share of cloud instance…
During Google Cloud Next ’19 (April 9-11, 2019) flurry of announcements, a technical detail with significant business impact surfaced. Google Cloud’s new Anthos hybrid and multi-cloud platform depends on VMware vSphere if an IT shop wants to containerize legacy applications that use local storage. Part of why containers and Kubernetes are so portable and easily deployable is…
IBM spent the past six years building an AI that can hold a structured discussion with a human at an almost human level of achievement. IBM demonstrated its Project Debater AI at its Think event on February 11 in a live on-stage debate with an expert human debater. Project Debater lost the demonstration debate. However,…
NVIDIA and Intel are dominant players in datacenter artificial intelligence (AI) acceleration. Xilinx intends to compete against them in the growing field of machine learning as a service (MLaaS). At its 2018 developer forum (XDF), Xilinx announced its new SDAccel integrated development environment (IDE), enabling a larger FPGA development and deployment ecosystem. Xilinx’s SDAccel is up against NVIDIA’s GPU Cloud…
Microsoft is taking a very different approach to edge storage than Amazon Web Services (AWS). Azure Data Box Edge and its ruggedized Azure Stack are Microsoft’s first branded enterprise servers. However, under the unassuming faceplate, the two products use a Dell EMC server chassis. They are already enterprise-class servers, not a Microsoft first attempt at designing enterprise-class servers. Branded enterprise…
Public cloud revenue is up across the big six cloud giants. Alibaba, Amazon, Baidu, Google, Microsoft and Tencent all had solid double-digit to spectacular triple-digit revenue growth from Q2 2017 to Q2 2018. Tencent almost tripled its public cloud revenue year-over-year*, while Alibaba, Google and Microsoft all roughly doubled their public cloud revenue. Baidu BIDU reported a 64% increase and Amazon was up about 50%.…
Unfairly trained Artificial Intelligence (AI) systems can reinforce bias, therefore AI systems must be trained fairly. Experts say AI fairness is a dataset issue for each specific machine learning model. AI fairness is a newly recognized challenge. The big cloud providers are in the process of developing and announcing tools to help address AI fairness. Facebook announced…