graphics processing units (GPU), field programmable gate arrays (FPGA), and custom logic. While these accelerators historically have been attached to CPUs via offload interconnects, they increasingly are being integrated onto system-on-chip (SoC) designs. As these technologies mature, Moor Insights & Strategy believes that datacenter workloads deployed at scale will use application-specific acceleration models.
Table of Contents
- Executive Summary
- Application Acceleration in the Datacenter
- Are FPGAs in the Datacenter Ready for Prime Time?
- Key Players to Watch
- Call to Action
- Figure 1: Application Acceleration Implementation Models
Companies Cited
- Altera
- ARM
- Baidu
- Bing
- Catapult Systems
- Convey Systems
- Dell
- HP
- IBM
- Intel
- Microsoft
- OpenPOWER Foundation
- SRC Computers
- Xilinx
Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights) in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.
