Paul Teich is DoubleHorn’s Principal Analyst. DoubleHorn’s industry research has not formally launched yet – watch for exciting new cloud industry analysis in the second half of 2018. Paul also works closely with our product team to shape our go to market strategy and LiftrNews subscribers content. Paul has been a leading data center industry analyst for six years, evenly split between TIRIAS Research and Moor Insights & Strategy. Paul has spoken at many industry events and has been a contributing author at Forbes/Tech and The Next Platform. Paul was also previously a key member of AMD’s server processor team in the 2000s and product manager of a web service at the height of the first internet bubble. Paul holds a BS in Computer Science from Texas A&M and an MS in Technology Commercialization from the University of Texas’ McCombs School of Business. Paul received 12 US patents while working in marketing and strategy roles. Paul enjoys the outdoors, photography, and disassembling pretty much any mechanical, electrical, or logical system to see how it works.

NVIDIA Dominates The Market For Cloud AI Accelerators More Than You Think

NVIDIA Dominates The Market For Cloud AI Accelerators More Than You Think

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…

Google Cloud, Optiva and Arctiq used VMware’s vSphere Web Client during their live demos to configure a resource pool of servers and storage

Google’s Private Kubernetes Cloud Still Relies On VMware For Local Storage

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…

Xilinx To Compete With Intel, NVIDIA Datacenter AI Acceleration

Xilinx To Compete With Intel, NVIDIA On Datacenter AI Acceleration

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…

Correction: Xilinx To Compete With Intel, NVIDIA On Datacenter AI Acceleration

BLOG ENTRY: Xilinx To Compete With Intel, NVIDIA On Datacenter AI Acceleration – Forbes AUTHOR: Paul Teich, Principal Analyst PUBLICATION: Forbes Innovation online PUBLISHED DATE: Oct 15, 2018, 03:49pm CORRECTION-DATE: Oct 16, 2018, 6:00pm CORRECTION MADE: Several paragraphs were changed to reflect NVIDIA’s membership in ONNX. NOTE: Liftr Cloud Insights strives for thoroughness and accuracy. Sometimes we…

Microsoft is taking a different approach to edge storage than AWS. Azure Data Box Edge and Stack are Microsoft’s branded enterprise servers.

Microsoft Azure Picks Dell EMC For Edge Compute And Storage

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…