CGPT and COOL provide targeted exposure to two layers of the AI infrastructure buildout: the inference stack that runs trained models, and the power and cooling that keep high-density data centers online.

NEW YORK: $CGPT #AI--VegaShares (“Vega”), a leading derivatives- and thematic-focused ETF provider, announced the launch of two thematic ETFs: the VegaShares AI Inference ETF (Nasdaq: CGPT) and the VegaShares AI Thermal, Cooling & Power Management ETF (Nasdaq: COOL).

The VegaShares AI Inference ETF (Nasdaq: CGPT) seeks capital appreciation by investing in companies that make the chips, networking, and memory hardware used to run AI models and generate responses. The Fund invests across AI processors, custom AI chips, memory and interconnect chips.

Training a model is a bounded compute expense, incurred each time a new model version is built or retrained. Inference is different: it happens every time that model is used, whether that is a chatbot answering a question, a bank’s fraud model screening a transaction, or a sensor on a factory floor flagging a defect. That difference is what makes inference infrastructure a separate investment case from training infrastructure: the companies supplying the chips, networking, and memory behind it generate revenue that scales with usage, not with how many models get built. According to a Morgan Stanley analysis, the inference phase, running a trained model to answer a question, screen a transaction, or make a prediction, could represent a larger opportunity than the initial AI training market.

The VegaShares AI Inference ETF gives investors targeted access to the post-training segment of the AI market.

CGPT Top Fifteen Holdings:

The VegaShares AI Thermal, Cooling & Power Management ETF (Nasdaq: COOL) seeks capital appreciation by investing in global companies that generate significant revenue from the cooling, power delivery, and thermal management systems required to operate high-density AI data centers. The Fund invests across server liquid cooling, power supplies and power shelves, battery backup and rack-level power distribution, and power semiconductors.

Training and running large models often means packing more chips into less space, and each chip simultaneously requires the delivery of power and the removal of heat. Spending on liquid cooling equipment is projected to grow 45 to 50% a year through 2030 according to a McKinsey report, more than three times the pace of traditional air-cooling equipment.

COOL Top Fifteen Holdings:

“Today we are launching two funds, CGPT and COOL, that deliver exposure to two distinct layers of the AI buildout: inference and cooling, respectively,” said Adam Stempel, Co-Founder of VegaShares ETFs. “CGPT invests in the chips, networking, and memory that run trained models in production, and COOL invests in the thermal, power, and cooling systems behind high-density AI data centers. Together, the two funds give investors targeted access to parts of the AI buildout that sit underneath the applications getting the headlines.”

For more information on the funds, please visit VegaSharesETFs.com/COOL and VegaSharesETFs.com/CGPT.

About VegaShares

VegaShares specializes in derivatives-based ETFs and other innovative investment strategies. Developed by institutional experts, VegaShares blends quantitative research with disciplined risk management to create liquid, exchange-traded tools for modern investors seeking efficiency, precision, and performance.

Before investing, carefully consider the fund’s investment objectives, risks, and charges and expenses. The prospectus and summary prospectus contain this and other important information and may be obtained by visiting VegaSharesETFs.com or calling 1-888-862-3299. Read it carefully before investing.

The funds, their investment adviser Tidal Investments LLC (the “Adviser”), their investment sub-adviser Vega Capital Partners LLC (the “Sub-Adviser”), and their distributor do not provide tax, legal, or investment advice. Investors should consult a financial professional regarding an investment in the funds and should carefully consider the funds’ investment objectives, risks, charges, and expenses before investing.

The VegaShares AI Inference ETF and the VegaShares AI Thermal, Cooling & Power Management ETF are each a series of Tidal Trust IV (the “Trust”) and are exchange traded funds. Shares of the funds are bought and sold at market price (not net asset value) and are not individually redeemed from the funds. Brokerage commissions and bid/ask spreads will reduce returns.

Investing involves risk, including the loss of principal. An investment in a Fund is subject to investment risks; therefore, you may lose money by investing in a Fund. There can be no assurance that a Fund will be successful in meeting its investment objective. A Fund is not intended to be a complete investment program. Generally, each Fund will be subject to the following principal risks:

Shared Principal Risks

• Technology Hardware, Storage & Peripherals Industry Risk: Technology hardware, storage and peripherals companies can be significantly affected by competitive pressures, aggressive pricing, technological developments, changing domestic demand, the ability to attract and retain skilled employees and availability and price of components.
• Datacenter Industry Risk: The datacenter industry faces numerous challenges that could significantly impact the financial performance of companies operating within this sector. As technological advancements accelerate and demand for data processing and storage grows, datacenter companies must continuously upgrade infrastructure and expand capacity, leading to high capital expenditures and increased operational costs.
• Semiconductors & Semiconductor Equipment Industry Risk: Semiconductor companies may face intense competition, both domestically and internationally, and such competition may have an adverse effect on their profit margins.
• Information Technology Sector Risk: The information technology sector includes companies engaged in internet software and services, technology hardware and storage peripherals, electronic equipment instruments and components, and semiconductors and semiconductor equipment, among other things. Information technology companies face intense competition, both domestically and internationally, which may have an adverse effect on profit margins.
• Concentration and Non-Diversification Risks: Focused exposures may produce greater volatility than a more diversified portfolio.
• Foreign Securities Risk: Investments in securities or other instruments of non-U.S. issuers involve certain risks not involved in domestic investments and may experience more rapid and extreme changes in value than investments in securities of U.S. companies. Financial markets in foreign countries often are not as developed, efficient, or liquid as financial markets in the United States, and therefore, the prices of non-U.S. securities and instruments can be more volatile. In addition, the Fund will be subject to risks associated with adverse political and economic developments in foreign countries, which may include the imposition of economic sanctions. Generally, there is less readily available and reliable information about non-U.S. issuers due to less rigorous disclosure or accounting standards and regulatory practices.
• Artificial Intelligence Risk: Issuers engaged in artificial intelligence typically have high research and capital expenditures and, as a result, their profitability can vary widely, if they are profitable at all. The space in which they are engaged is highly competitive and issuers’ products and services may become obsolete very quickly. These companies are heavily dependent on intellectual property rights and may be adversely affected by loss or impairment of those rights. The issuers are also subject to legal, regulatory and political changes that may have a large impact on their profitability. A failure in an issuer’s product or even questions about the safety of the product could be devastating to the issuer, especially if it is the marquee product of the issuer. It can be difficult to accurately capture what qualifies as an artificial intelligence company.
• New Fund Risk: The Fund has a limited operating history.

Other principal risks include ETF Risks, Management Risk, Market Capitalization Risk, Economic and Market Risk, Operational Risk, and Unrelated Business Risk. For a detailed list of fund risks, see the prospectus.

Fund distributed by: Foreside Fund Services, LLC, not affiliated with Vega Capital Partners LLC, or its affiliates.

Fonte: Business Wire