AIS

New York Stock Exchange (NYSE)

VistaShares ETFs are actively managed and follow a rigorously researched rules-based methodology designed to provide accurate exposure to the theme you are seeking to gain exposure to.

Our Investment Committee oversees and manages all ETFs, applying the combined domain expertise of investment scholars and professionals, as well as industry leaders from the supercycles our ETFs focus on.

Our active “risk management overlay” ensures maximum agility. The Investment Committee monitors all companies within the various industry segments along the supply chain, actively adding or deleting companies from the portfolio between rebalance dates if necessary.

Supercycles are long-term trends that disrupt current economic models through disruptive technological advancements shaping our world.

We conduct thorough analysis of target industry supply chains to identify the companies and profit pools in each sub-industry segment that have significant economic exposure to the theme.

Our “Bill of Materials” process helps us identify and weight the companies contributing to each step in the production process leading to a final consumer product.

High-Performance Semiconductors Bill of Materials:

• Graphics Processing Unit (GPU): Companies involved in the design and production of GPUs specifically optimized for AI processing, machine learning, and high-performance computing tasks. This includes research and development of advanced architectures, fabrication of semiconductor wafers, and assembly of GPU units. The focus is on increasing computational power, energy efficiency, and support for parallel processing required in AI applications.

• Video Memory (VRAM): Companies engaged in the development and manufacturing of high-capacity VRAM to support GPUs in handling large datasets and complex computations. This includes advancements in memory technology to enhance bandwidth, latency, and overall performance to meet the demands of AI and data-intensive applications.

• Data Processing Unit (DPU): Companies developing data processing units (DPUs) designed to offload and accelerate data-intensive tasks from the CPU, enhancing overall system efficiency and performance. This includes creating specialized processing units for tasks like network traffic management, security processing, and data storage management, freeing up CPU resources for primary computational tasks.

• Cooling System: Companies developing advanced cooling solutions to manage the heat generated by high-performance computing equipment. This includes the design of liquid cooling systems, high-efficiency air conditioning units, and innovative heat dissipation technologies that ensure reliability and efficiency in data center environments.

• Voltage Regulator Module (VRM): Companies focused on developing and distributing voltage regulator modules that provide stable and efficient power to semiconductor components, including GPUs. This ensures reliable performance of high-demand computing tasks, maintaining system stability and protecting sensitive components from power fluctuations.

• Motherboard Interface: Companies creating specialized motherboards with high-speed interfaces to support fast data transfer and communication between components, including GPUs. This includes the development of advanced interface technologies like PCIe, NVMe, and custom interconnects designed for optimal performance in high-performance computing systems.

• Interconnection Interface: Companies developing high-bandwidth interconnection standards and interfaces to facilitate fast and reliable communication between data center components, including GPUs. This includes technologies like InfiniBand, Ethernet, and proprietary interconnects that enhance overall system performance and scalability.

• Network Interface & Controller: Companies producing network interface cards (NICs) and controllers that enhance network performance and reliability, supporting data transmission for AI and data processing tasks handled by GPUs. These components ensure high-speed data transmission, low latency, and robust data handling capabilities essential for AI applications.

• Output Interfaces: Companies creating interfaces for connecting high-resolution displays to data processing units, including GPUs. This includes developing technologies like HDMI, DisplayPort, and custom output interfaces that facilitate real-time data visualization and analysis for AI applications.

• Software: Companies developing software solutions that optimize the performance of AI hardware, including GPUs. This includes operating systems, drivers, middleware, and specialized applications designed to maximize the efficiency and capabilities of GPUs in AI and high-performance computing environments.

Datacenters Bill of Materials:

• Power and Cooling Systems: Companies producing efficient power supply units, voltage regulator modules (VRMs), and advanced cooling systems specifically designed for data centers. This includes the design and implementation of liquid cooling, air cooling, and innovative heat dissipation technologies to maintain optimal operating temperatures and stable power delivery in data center environments.

• Servers and IT Equipment: Companies involved in the design and production of specialized server boards, CPUs, and related IT equipment tailored for data center use. This includes the development of advanced board architectures, integration of high-speed interconnects, and ensuring compatibility with various data center standards to ensure reliable and efficient operation of servers and related hardware.

• Networking Equipment: Companies focusing on the development of high-speed networking solutions, including switches, routers, and network interface cards (NICs) specifically designed for data center environments. These solutions ensure fast and reliable data transmission within data centers, supporting the high bandwidth and low latency requirements of AI and high-performance computing workloads.

• Storage Devices: Companies developing high-performance storage devices such as SSDs and NVMe drives optimized for the fast read/write speeds required in data center applications. This includes advancements in storage technology to improve data access times, reliability, and storage capacity, meeting the demanding requirements of AI and data processing workloads.

• Backup and Disaster Recovery Solutions: Companies developing and implementing data protection and disaster recovery systems tailored for data center environments. This includes creating robust data replication, backup software, and disaster recovery plans to ensure data integrity and availability in case of hardware failures or other emergencies, safeguarding critical data and applications.

• Racks and Cable Management: Companies involved in the design and provision of server racks and cable management systems optimized for data center use. This includes developing solutions to organize and optimize the physical layout of data centers, ensuring efficient space utilization, ease of maintenance, and effective thermal management to support the reliable operation of IT infrastructure.

• Remote Hands Support: Companies providing on-site technical assistance for hardware installation, maintenance, and troubleshooting in data center environments. These remote hands support services ensure smooth operation and quick resolution of any issues, minimizing downtime and maintaining data center uptime and performance.

AI-Enabled Applications:

• AI-enabled applications harness the power of artificial intelligence (AI) to deliver innovative solutions across various industries and domains. These applications leverage advanced machine learning algorithms, natural language processing, computer vision, and other AI techniques to automate tasks, gain insights from data, and enhance decision-making processes. From intelligent virtual assistants and personalized recommendation systems to predictive analytics and autonomous vehicles, AI-enabled applications are transforming how businesses operate and interact with their customers. Companies involved in the development and deployment of AI-enabled applications are driving innovation and unlocking new opportunities for efficiency, productivity, and growth in the digital age.

We are in the beginning stages of the AI revolution. The technology is only now becoming viable and the infrastructure investment required for this industry to continue to grow and innovate is very large.

65-75 individual companies

Semi-annually (June and December)

Please see the VistaShares Artificial Intelligence Supercycle ETF (AIS) rule book