CFTC Urged to Allow AI Compute Perpetuals

Introduction

The Hyperliquid Policy Center has submitted a letter to the Commodity Futures Trading Commission (CFTC) requesting that the agency allow US futures and perpetual contracts tied to GPU rental prices and the cost of running AI models. This move is seen as a significant step towards the development of a regulated market for compute derivatives, which could provide a valuable hedging tool for data centers and AI developers.

The policy center argues that perpetual contracts could help data centers and AI developers hedge ongoing price risks, and that proposed safeguards such as leverage limits, funding-rate caps, and transparent pricing benchmarks could mitigate potential risks. The submission is part of the CFTC's ongoing consultation on compute derivatives, which aims to gather feedback on the potential benefits and risks of allowing these types of contracts.

Background

The Hyperliquid Policy Center describes itself as an independent research and advocacy organization seeking regulated American access to on-chain markets, including Hyperliquid. The organization argues that rented computing capacity qualifies as a commodity under the Commodity Exchange Act, and that supporting contracts linked to the cost of running AI models could provide a valuable hedging tool for data centers and AI developers.

The use of AI and machine learning is becoming increasingly prevalent in various industries, and the cost of computing power is a significant component of the overall cost of these technologies. By allowing perpetual contracts tied to GPU rental prices and AI model costs, the CFTC could provide a valuable tool for companies to manage their risk and ensure the stability of their operations.

AI Compute Perpetuals

AI compute perpetuals would target ongoing costs, such as the cost of renting GPU hours or the cost of running AI models. The policy center argues that perpetual contracts could match these ongoing costs and revenues because they have no expiration date, and that recurring funding payments between buyers and sellers could help keep a perpetual's price aligned with its reference benchmark.

The use of perpetual contracts could provide a number of benefits, including the ability to hedge against price fluctuations and ensure the stability of operations. Additionally, the transparency and regulation provided by the CFTC could help to increase confidence in the market and attract more participants.

GPU Rentals and Inference

The policy center proposes contracts tied to GPU rental prices and the cost of running AI models, with GPU-hour contracts tracking the rental price of specified hardware and inference contracts referencing access to a stated volume of AI-model tokens. The organization argues that these contracts could provide a valuable hedging tool for data centers and AI developers, and that the use of independent price contributors, methods that filter out unusual observations, and position limits could help mitigate potential risks.

The distinction between GPU rentals and inference is an important one, as the costs associated with each are different. GPU rentals are typically tied to the cost of renting specific hardware, while inference costs are tied to the cost of running AI models. By allowing contracts tied to both, the CFTC could provide a more comprehensive range of hedging tools for companies.

Proposed Safeguards

The policy center proposes a number of safeguards to mitigate potential risks, including leverage limits, funding-rate caps, and transparent pricing benchmarks. The organization also recommends the use of independent price contributors, methods that filter out unusual observations, and position limits to help prevent manipulation and ensure the integrity of the market.

• Leverage limits to prevent excessive speculation
• Funding-rate caps to limit sudden funding costs
• Transparent pricing benchmarks to ensure market integrity
• Independent price contributors to prevent manipulation
• Methods that filter out unusual observations to ensure data quality
• Position limits to prevent excessive concentration of risk

Implications for Readers in India

The development of a regulated market for AI compute perpetuals could have significant implications for readers in India. As the use of AI and machine learning becomes more prevalent in various industries, the cost of computing power is likely to become a increasingly important factor. By providing a valuable hedging tool, the CFTC's decision could help to increase the stability and confidence of companies operating in India.

Additionally, the transparency and regulation provided by the CFTC could help to increase confidence in the market and attract more participants from India. This could lead to increased investment and innovation in the field of AI and machine learning, which could have significant benefits for the Indian economy.

What to Watch Next

The CFTC's decision on whether to allow AI compute perpetuals will be closely watched by industry participants and regulators. The policy center's submission is part of a broader consultation on compute derivatives, and the CFTC is likely to consider a range of feedback and perspectives before making a decision.

In the coming months, readers can expect to see further developments on this issue, including potential updates from the CFTC and reactions from industry participants. As the market for compute derivatives continues to evolve, it will be important to stay informed about the latest developments and trends.

Conclusion

The Hyperliquid Policy Center's submission to the CFTC represents an important step towards the development of a regulated market for AI compute perpetuals. The organization's proposed safeguards and contract specifications could help mitigate potential risks and ensure the integrity of the market, and the use of AI compute perpetuals could provide a valuable hedging tool for data centers and AI developers.

As the use of AI and machine learning becomes increasingly prevalent, the cost of computing power is likely to become a significant component of the overall cost of these technologies. By providing a valuable hedging tool, the CFTC's decision could help to increase the stability and confidence of companies operating in this field, and could have significant implications for the development of the industry as a whole.