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CGPT

VegaShares AI Inference ETF

VegaShares AI Inference ETF seeks capital appreciation by investing in global companies that generate significant revenue from the hardware and infrastructure required to turn AI prompts into answers.

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FUND INFORMATION

Inception Date 8/13/2026
Primary Exchange Nasdaq
Ticker CGPT
CUSIP 88636N700
Total Expense Ratio 0.75%

FUND DATA & PRICING

As of 10/09/2026
Net Assets $1,434,954.00
NAV $19.13
Shares Outstanding 75,000
Premium/discount Percentage -0.01%
Closing Price $19.13
Median 30 Day Spread 0.36%

Where AI Goes to Work

Training builds an AI model. Inference runs it. Every time you prompt a model for an answer, an image, or a line of code, the model performs inference, and that work happens on physical hardware. Processors run the calculations, high-speed memory feeds them the model's data, and interconnect chips move information between the two. The VegaShares AI Inference ETF (CGPT) invests in the companies that make the processors, memory, and interconnect behind AI inference.

In selecting investments, the adviser considers companies included in the BITA AI Inference Global Index, along with other companies and investment exposures it believes are connected to AI inference. The Fund is not required to invest only in companies included in the index.

Where CGPT ETF invests

The fund targets four parts of the hardware behind AI inference:

  • GPUs & AI Accelerators: the processors that run the model and calculate each part of a response
  • Custom AI Chips (ASICs): purpose-built silicon designed to run specific AI workloads efficiently.
  • Memory & Chip Interconnect: the chips that move data between processors and memory so the pieces work as one system.
  • Memory (HBM & DRAM): high-bandwidth memory that delivers model data to the processors fast enough to keep them working.

Why CGPT ETF?

  1. Own the hardware behind every AI response. Each answer a model generates typically runs on processors, memory, and interconnect chips.
  2. Beyond GPUs. CGPT holds accelerators, custom chips, and interconnect companies across the global chip supply chain, including China-based AI chip makers.
  3. A pure hardware play. The fund focuses on the hardware that runs inference, from the processors and custom chips to the memory and interconnect around them.
  4. Built for where inference is going. As AI increasingly moves into cars, cameras, and robots, CGPT already invests in the chips running models near the data.

1 As of 09/30/2026.

2 As of 10/09/2026 .

3 As of 10/09/2026.

Fund Documents

Fund Profile
Prospectus
Summary Prospectus
SAI

PERFORMANCE

Quarter end returns as of 09/30/2026
Cumulative Avg. Annualized
  Quarter Since Inception 1 Year 3 Year 5 Year Since Inception
Fund NAV - -2.69% - - - -
Market Price - -2.64% - - - -

Expense ratio: 0.75%

The performance data quoted represents past performance. Past performance does not guarantee future results. The investment return and principal value of an investment will fluctuate so that an investor’s shares, when sold or redeemed, may be worth more or less than their original cost and current performance may be lower or higher than the performance quoted. Performance current to the most recent month-end can be obtained by calling (888) 862-3299.

Short term performance, in particular, is not a good indication of the fund’s future performance, and an investment should not be made based solely on returns.

DISTRIBUTION INFORMATION

Distribution Rate
-
Distribution Amount / Share ($)
-
Distribution Amount / Share (%)
-
30 Day SEC Yield
-0.09%
Download Premium Discount Information

Distribution Detail

Ex-Date Record Date Payable Date Amount ROC Form 19a-1
No upcoming distributions found

There is no guarantee that the fund will pay distributions in the future, if any, and that the current distribution may vary. Distributions may include income, capital gains, or return of capital and may change during the year. Details are provided in the fund’s 19a-1 Notice on our website. 

These distributions may exceed the fund’s income and gains for the fund’s taxable year. Distributions in excess of the fund’s current and accumulated earnings and profits will be treated as a return of capital. 

A final determination of the tax character of distributions paid by the fund will not be known until the completion of the funds’ fiscal year and there can be no assurance as to the portions of each fund’s distributions that will constitute return of capital and/or dividend income. The final determination of the tax character of distributions paid by the fund will be reported to shareholders on their Form 1099-DIV. Please consult your tax advisor for proper treatment on your tax return.

Top 10 Holdings

Data as of 10/13/2026
% Of Net Assets Name Ticker CUSIP Shares Held Market Value
8.98% Astera Labs Inc ALAB 04626A103 382 123,810.02
8.76% First American Government Obligations Fund 12/01/2031 FGXXX 31846V336 120,698 120,698.23
7.80% NVIDIA Corp NVDA 67066G104 475 107,502.00
7.47% Cerebras Systems Inc CBRS 15675D103 702 102,927.24
7.46% Credo Technology Group Holding Ltd CRDO G25457105 512 102,830.08
6.32% Cambricon Technologies Corp Ltd 688256 CH BLN7Y24 600 87,126.36
5.91% Advanced Micro Devices Inc AMD 007903107 137 81,410.88
5.51% Global Unichip Corp 3443 TT B056381 300 76,014.70
5.09% MARVELL TECHNOLOGY INC MRVL 573874104 264 70,187.04
5.02% Micron Technology Inc MU 595112103 70 69,232.80
Download Full Holdings
Holdings are subject to change.

FAQs

CGPT seeks capital appreciation by investing in companies that supply the hardware, software and infrastructure used to run trained AI models. Its investment focus includes AI processors, specialized chips, high-speed memory and technologies that move data between computing components.

Training is the process of teaching an AI model using data. Inference is what happens when that trained model responds to a request, such as answering a question, generating an image or writing code. CGPT focuses on the technology that supports this use of AI.

The fund targets four areas:

  • GPUs and AI accelerators, the processors that run the model
  • Custom AI chips (ASICs) designed for specific AI workloads
  • Memory and chip interconnect that link processors and memory into one system
  • High-bandwidth memory (HBM) and DRAM that feed model data to the processors

Yes. CGPT’s investment universe includes companies supporting inference in data centers and directly on devices such as vehicles, cameras, robots and factory equipment. Running AI closer to where data is generated can reduce response times and reliance on remote computing systems.

CGPT is actively managed. The fund uses the BITA AI Inference Global Index as a reference; however, the fund is not required to strictly follow the index.

The Holdings tab of the CGPT fund page lists the top 10 holdings, and the full list can be downloaded there. Holdings are subject to change.

CGPT can lose value. Its investments are sensitive to semiconductor demand, rapid technological change, competition and supply disruptions. See the prospectus for a complete list of risk factors.

Yes. CGPT invests across the global AI supply chain, including companies in the U.S. and Asia (including China, South Korea, and Taiwan).

CGPT organizes its investments around a specific function: running trained AI models. Its focus connects processors, custom chips, memory and interconnect technologies used in inference. This provides targeted exposure to the computing infrastructure behind AI responses and applications.

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Investing involves risk, including the loss of principal.

An investor should consider the investment objectives, risks, and charges and expenses of the fund carefully before investing. A prospectus [and a summary prospectus] which contains this and other information about the fund may be obtained by calling (888) 862-3299 or visiting VegaSharesETFs.com. The prospectus and the summary prospectus should be read carefully before investing.

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

Semiconductors & Semiconductor Equipment Industry Risks. Semiconductor companies may face intense competition, both domestically and internationally, and such competition may have an adverse effect on their profit margins. Semiconductor companies may have limited product lines, markets, financial resources or personnel. Semiconductor companies' supply chain and operations are dependent on the availability of materials that meet exacting standards and the use of third parties to provide components and services. Semiconductor companies may rely on a limited number of suppliers, or upon suppliers in a single location, for certain materials, equipment or tools. Finding and qualifying alternate or additional suppliers can be a lengthy process that can cause production delays or impose unforeseen costs, and such alternatives may not be available at all. Production can be disrupted by the unavailability of resources, such as water, silicon, electricity, gases and other materials. Suppliers may also increase prices or encounter cybersecurity or other issues that can disrupt production or increase production costs.

Datacenter Industry Risks. 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. The highly competitive nature of the industry often results in aggressive pricing strategies that compress profit margins. Additionally, fluctuations in demand for data services, driven by economic conditions and shifts in technology trends, can lead to under-utilization of capacity, negatively affecting revenue streams and overall profitability. Furthermore, companies must navigate complex regulatory environments and manage significant energy consumption and environmental impact, adding to operational burdens and costs.

Information Technology Sector Risks. 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. Information technology companies may have limited product lines, markets, financial resources or personnel. The products of information technology companies may face rapid product obsolescence due to technological developments and frequent new product introduction, unpredictable changes in growth rates and competition for the services of qualified personnel. Failure to introduce new products, develop and maintain a loyal customer base, or achieve general market acceptance for their products could have a material adverse effect on a company’s business. Companies in the information technology sector are heavily dependent on intellectual property and the loss of patent, copyright and trademark protections may adversely affect the profitability of these companies.

Concentration Risk. The Fund’s investments will be concentrated in an industry or group of industries to the extent the Index is so concentrated. In such an event, the value of the Fund’s Shares may rise and fall more than the value of shares that are invested in securities or financial instruments of companies that encompass a broader range of industries.

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.

IPO Risks. The Fund may purchase securities of companies that are offered in an IPO. The risk exists that the market value of IPO shares will fluctuate considerably due to factors such as the absence of a prior public market, unseasoned trading, the small number of shares available for trading and limited information about the issuer. 

SPAC and De-SPAC Risks. The Fund may invest in securities of companies that have recently completed IPOs and may have become publicly traded through transactions involving SPACs or de-SPAC transactions. 

Limited History of Operations Risk. The Fund is a new ETF and has a limited history of operations for investors to evaluate.

Non-Diversification Risk. The Fund’s portfolio may focus on a limited number of investments and will be subject to the potential for greater volatility than a diversified fund.

CGPT is distributed by Foreside Fund Services, LLC. Foreside is not affiliated with VegaShares ETFs.