High Performance Computing for Artificial Intelligence Applications

30 AI-Focused Use Cases across 12 Industry Verticals: Global Market Analysis and Forecasts

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Pages: 52
Tables, Charts,
     & Figures:
36
Publication Date: 2Q 2020
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Enterprise-focused high performance computing (HPC) systems aggregate or combine compute power so that the combined system can deliver much higher performance than a single large workstation. Common HPC tasks include conducting digital simulations, stress testing, and enabling extremely high speed, high frequency trading activities. By addressing these massive problems using parallel computing techniques, the time to complete a solution can be drastically reduced.

Increasingly, these workloads are focused on the use of analytics, machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP)—the technology methods that power what is known as artificial intelligence (AI). Combined with high speed networking architecture and vast storage systems, enterprises can address a number of AI-based use cases via HPC clusters. As enterprises migrate from small, proof-of-concept programs to enterprise-wide rollouts, the need for a high performance compute and storage environment becomes clear. Omdia forecasts that global AI-focused enterprise software revenue will rise from $89.5m annually in 2020 to $626.6m in 2025.

This Omdia Market Report looks at the drivers, barriers, outlook, key players, and use cases for AI-focused HPC software in the enterprise. The report also addresses the impact of the global COVID-19 pandemic on the HPC market. Global AI-focused HPC software revenue forecasts, segmented by industry, geography, and use case, extend through 2025. Omdia identifies 30 AI use cases across 12 industries that will utilize HPC software resources between 2020 and 2025 and provides an in-depth analysis of the top 14 use cases in terms of cumulative revenue.

Key Questions Addressed:

  • How are HPC systems being deployed by enterprises utilizing AI solutions?
  • How are vendors responding in terms of how they market, sell, and deliver solutions?
  • Which licensing models are most commonly used by enterprises to purchase HPC software?
  • Which industries and AI use cases will utilize HPC software the most, and how will this mix vary among world regions?
  • What challenges are affecting the use of HPC solutions to handle AI workloads?
  • How are regulations, privacy concerns, and data security issues affecting the way HPC solutions are delivered and sold?

Who Needs This Report?

  • AI technology companies
  • Enterprise IT professionals/CTOs
  • HPC solutions providers
  • Software companies
  • Service providers and systems integrators
  • Industry organizations
  • AI and HPC consultants
  • Investor community

Table of Contents

Executive Summary
Introduction
Market drivers
Market barriers
Key use cases
Market forecast highlights
Key takeaways

Market Issues
AI-focused HPC in the enterprise
– AI-focused enterprise HPC
HPC environments
– On-premises HPC environments
– Cloud services
– HPC as a service
– Hybrid deployments
Market drivers
– Increasing number of AI workloads
– Improving performance-to-cost ratio of HPC
– Increasing use of AI in edge computing deployments
– Increasing desire for more productivity, quality, efficiency, and personalization
Market barriers
– High cost of on-premises HPC solutions
– Potential performance bottlenecks with cloud-based HPC systems
– Data accessibility concerns
– Security concerns
Regulatory issues
– General Data Protection Regulation
– Japan’s Act on the Protection of Personal Information
– Cybersecurity Law of China
– California Consumer Privacy Act  

Use Cases
Introduction
– Computational drug discovery and drug effectiveness
– Oil production optimization
– AR/VR development
– Video surveillance
– Querying image content
– Simulating worlds for AI training
– Biomarker discovery
– Quality monitoring
– Machine/vehicular object detection/identification/avoidance
– Genomic data mapping and analysis for personalized healthcare and precision medicine
– Root cause analysis
– Audio and video mining
– Weather forecasting
– Predictive maintenance

Technology Issues
Bringing supercomputer power to the enterprise
Components of an HPC environment
Architecture of HPC systems
– Parallel systems
– Clusters
Differences between academic/research and enterprise
HPC systems
– Processing power and system size
– Network interconnects
– Power consumption and efficiency
Software
– Operating systems
– Cluster software
– Scheduling software
– Middleware
AI applications
Communications protocols
– Parallel virtual machine and message passing interface
– Hadoop
– Cache-only memory architecture
– Non-uniform memory access
– Containers

Key Industry Players
Overview
Altair
Amazon
Bright Computing
Dell Technologies
Google Cloud
Hewlett Packard Enterprise
IBM
Lenovo
Mellanox Technologies
Microsoft
Panasas
Penguin Computing
Pure Storage
Verne Global
Other industry players  

Market Forecasts
Forecast methodology
Total AI enterprise HPC software revenue by industry
AI enterprise HPC software revenue by use case
AI-focused enterprise HPC software revenue by region
AI-focused enterprise HPC software revenue by use case
Recommendations

List of Charts, Figures, and Tables

Figures
  • AI-focused enterprise HPC software revenue by region, world markets: 2020–25
  • AI-focused enterprise HPC software revenue by industry, world markets: 2020–25
  • AI-focused enterprise HPC software market share by use case, world markets: 2025
  • AI-focused enterprise HPC software revenue by region, world markets: 2020–25
  • Top 14 AI-focused enterprise HPC software use cases by revenue, world markets: 2020–25
  • Enterprise HPC software revenue, traditional HPC use cases vs. AI use cases, world markets: 2020–25
  • Enterprise HPC software market share by workload mix, world markets: 2020–25
  • AI-focused enterprise HPC software revenue by industry, North America: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Europe: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Asia Pacific: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Latin America: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Middle East & Africa: 2020–25
  • Top 14 AI-focused enterprise HPC software use cases, North America: 2020–25
  • Top 14 AI-focused enterprise HPC software use cases, Europe: 2020–25
  • Top 14 AI-focused enterprise HPC software use cases, Asia Pacific: 2020–25
  • Top 14 AI-focused enterprise HPC software use cases, Latin America: 2020–25
  • Top 14 AI-focused enterprise HPC software use cases, Middle East & Africa: 2020–25
  • Types of AI-focused high performance computing environments
Tables
  • Total enterprise HPC revenue by product mix, world markets: 2020–25
  • AI-focused enterprise HPC software revenue by region, world markets: 2020–25
  • Enterprise HPC software revenue, traditional HPC use cases vs. AI use cases, world markets: 2020–25
  • Enterprise HPC software market share by workload mix, world markets: 2020–25
  • AI-focused enterprise HPC software revenue by industry, world markets: 2020–25
  • AI-focused enterprise HPC software revenue by industry, North America: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Europe: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Asia Pacific: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Latin America: 2020–25
  • AI-focused enterprise HPC software revenue by industry, Middle East & Africa: 2020–25
  • AI-focused enterprise HPC software revenue by use case, world markets: 2020–25
  • AI-focused enterprise HPC software revenue by use case, North America: 2020–25
  • AI-focused enterprise HPC software revenue by use case, Europe: 2020–25
  • AI-focused enterprise HPC software revenue by use case, Asia Pacific: 2020–25
  • AI-focused enterprise HPC software revenue by use case, Latin America: 2020–25
  • AI-focused enterprise HPC software revenue by use case, Middle East & Africa: 2020–25
  • HPC AI use cases, listed by revenue
  • Other industry participants