AINF — Defiance Inference AI Chip ETF

AINF Fund Overview

AINF — Defiance Inference AI Chip ETF is a US ETF managed by ETF Series Solutions, categorised as Global (incl. US) Growth Thematic Equity. ABC INVEST provides holdings, performance, costs, cashflows, risk data, prospectus documents and SEC filings, sourced from SEC filings.

• Type: US ETF
• Manager: ETF Series Solutions
• Category: Global (incl. US) Growth Thematic Equity
• Ticker: AINF
• SEC CIK: 0001540305
• SEC series ID: S000107090
• Share class ID: C000277977

AINF Investment Objective and Strategy

Defiance Inference AI Chip ETF describes its objective and strategy as follows, from its latest prospectus filed with the SEC by ETF Series Solutions.

Investment objective

The Defiance Inference AI Chip ETF (the “Fund” or the “Inference AI Chip ETF”) seeks to track the total return performance, before fees and expenses, of the BITA AI Inference Chip Select Index (the “Index”).

Principal investment strategy

The Fund uses a “passive management” (or indexing) approach to track the total return performance, before fees and expenses, of the Index. BITA AI Inference Chip Select Index The Index aims to capture the performance of global publicly listed securities issued by companies that are leaders in the development of artificial intelligence (“AI”) inference technologies. The Index constituents are primarily engaged in the design, fabrication, or integrated manufacturing of specialized chips, including GPUs, ASICs, and Neuromorphic processors, specifically optimized for the execution of AI models. Eligible constituents must demonstrate significant thematic exposure to the Index’s theme based on its total revenue derived from, or through its material involvement in, the following segments: Inference GPUs : Companies that design or manufacture highly parallelized processing units.

While originally for graphics, these chips are essential for AI inference due to their ability to handle the massive simultaneous mathematical throughput required by neural networks. Custom AI ASICs : Companies focused on purpose-built silicon designed for a single, specific AI application. These chips are engineered from the ground up to provide maximum efficiency and performance for specific inference tasks, often outperforming general-purpose hardware. FPGA-based AI Accelerators : Companies providing integrated circuits designed to be configured by a customer or a designer after manufacturing. In the AI context, these allow for hardware-level acceleration of inference algorithms that can be updated or re-programmed as AI models evolve. AI-Optimized CPUs : Companies developing general-purpose processors with integrated AI acceleration capabilities, such as dedicated instructions, tensor-processing components, or neural processing engines.

These processors support AI inference by accelerating neural-network computations and performing the logical control, task orchestration, and sequential process

AINF Costs and Fees

AINF costs about $65 per $10,000 invested per year in fund expenses.

• Net expense ratio: 0.65%
• Gross expense ratio: 0.65%

AINF Debt Constituents

No individual debt constituents are reported in Defiance Inference AI Chip ETF's latest SEC N-PORT filing.

AINF Prospectus and SEC Filings

Official Defiance Inference AI Chip ETF filings on SEC EDGAR — prospectus, portfolio holdings and annual reports.

• Prospectus (485BPOS) — filed 2026-08-10
• Prospectus supplement (497) — filed 2026-08-13

Related Funds

Other Global (incl. US) Growth Thematic Equity funds tracked on ABC INVEST:

• REX AI Chipmaking ETF (CHIP)
• VegaShares AI Compute ETF (CPUS)
• VegaShares AI Fab Equipment ETF (FABS)
• VegaShares AI Inference ETF (CGPT)
• VegaShares AI Networking ETF (FBRC)

Data Sources

ABC INVEST compiles this page from public filings made to the U.S. Securities and Exchange Commission (SEC) through EDGAR: portfolio holdings and monthly cashflows from Form N-PORT, expenses and returns from fund prospectuses (Form 485BPOS) and the SEC DERA Risk/Return Summary data sets, annual data from Form N-CEN, and shareholder reports from Form N-CSR.