Arun Suresh

Arun Suresh

Arun Suresh is an analyst responsible for data center compute research at IHS Markit. Currently, Arun is responsible for market research reports covering the server market.

Prior to joining IHS Markit, Arun was a Branch Sales and Operations Manager at Microsoft mobility. As a Branch Sales Operations Manager, Arun was also responsible for forecasting regional sales accounting for seasonal fluctuations and was always within 10% of actual results. Arun also developed go-to-market strategies for Microsoft mobile phones and piloted new strategic initiatives to track efficiency of over the counter sales, increasing revenue more than 2x to over $1M in 9 months.

Prior to his role at Microsoft, Arun was a key account manager for HCL handling IT equipment and cloud software and services sales. As a part of the team that won one of the biggest HPC deployments in the country. Arun was the lead customer facing individual making sure the bid was aligned with customer requirements. He was also successful in winning one of the biggest healthcare cloud services deployments in the region for 2012.

Arun has a B.Tech in Electrical and Communication Engineering (ECE) from Pondicherry University and a MBA specialized in Marketing from Christ University.


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Server architectures for a data-driven world

The nature of many applications is changing to become more data intensive as the number of data points that must be processed multiplies. In addition, many algorithms need to perform the same calculations on each data point in large data sets, introducing the opportunity for performing these calculations in parallel. The need for parallel computing became obvious with the work of the AlexNet team winning the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) and Google’s Brain Team advancing the science of artificial intelligence (AI) and machine learning (ML) and providing an open source machine learning library for neural network-based ML called TensorFlow. Other examples of applications needing parallel computation include advanced driver assistance systems (ADAS) used in self-driving cars and real-time rendering for virtual reality (VR), augmented reality (AR), climate analysis, and financial trend analysis. Clients, please log in to read the full insight.

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Enterprise & IT Mobile & Telecom
Data Center Compute Market Database - Regional - Q3 2017

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Enterprise & IT
Ethernet Network Adapter Equipment Market Tracker - Regional - Q3 2017

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Enterprise & IT
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