In our #3 series of Behind The Cloud, we dive into the essential components of high-performance computing (HPC) and its role in modern asset management. As AI continues to redefine the financial sector, having the right infrastructure to support these advanced technologies is critical.
This white paper offers an in-depth exploration of how cutting-edge HPC solutions, including hardware, cloud, and data storage, can be leveraged to stay ahead in asset management.
Across seven chapters, we explored the fundamental hardware solutions driving AI in asset management.
This white paper provides asset managers, IT professionals, and investors with a practical guide to selecting, managing, and optimizing HPC infrastructure. From foundational topics like choosing between on-premises and cloud-based systems to advanced solutions in cluster technology and data security, this paper offers insights into building a robust, future-proof AI infrastructure.
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Table of contents
Over Seven Chapters, We Cover the Essential Building Blocks of HPC for AI:
Chapter 1: Introduction to High-Performance Computing (HPC) in Asset Management
Discover the role of HPC in asset management and how it drives the capabilities of AI to new heights by processing and analyzing vast datasets with remarkable speed.
Chapter 2: Hardware Solutions for AI and Machine Learning
A look at the latest advancements in hardware technology, from GPUs to specialized AI processors, enabling efficient and powerful model training and inference.
Chapter 3: Cloud Computing for AI in Asset Management
Uncover the benefits and challenges of cloud-based solutions in asset management, focusing on scalability, flexibility, and operational efficiency.
Chapter 4: On-Premises vs. Cloud Infrastructure vs. Hybrid Solutions: Making the Right Choice
Explore the pros and cons of different infrastructure models and how to choose the right setup based on security, cost, and performance requirements.
Chapter 5: Data Storage and Management Solutions for AI Workloads
An examination of the essential data storage options and management practices required for handling the massive data needs of AI systems.
Chapter 6: High Availability, Cluster Solutions, and Security in the Cloud
Learn about strategies for ensuring high availability, implementing cluster solutions, and securing AI infrastructure in the cloud to ensure smooth, continuous operation.
Chapter 7: The Future of AI Hardware and Infrastructure in Asset Management
A forward-looking chapter on emerging technologies, including quantum and neuromorphic computing, that are poised to further revolutionize AI in asset management.
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