BGC Group, Inc., a leading global brokerage and financial technology company, announced the launch of BGC Compute Infrastructure Markets (“BGC CIM”), a new division focused on the growing secondary market for compute and memory capacity.
As AI adoption accelerates, Compute and Memory have emerged as critical assets that require a transparent and efficient secondary market. Backed by BGC Group’s experience as the world’s largest energy broker, BGC CIM is designed to bring institutional-grade market structure to one of the fastest emerging areas of the digital economy – enabling transparent price discovery, real-time risk management and more efficient execution for market participants.
BGC CIM will sit within BGC Group’s Energy, Commodities and Shipping (“ECS”) business and will initially focus on the over-the-counter (“OTC”) market. Led by Marc Kuber and Zach Espinosa as Co-Heads, the division will provide clients with dedicated brokerage support to navigate this growing asset class.
“The secondary market for compute is quickly becoming one of the most consequential commodity markets in the world economy,” said Zach Espinosa, Co-Head of BGC CIM. “As demand continues to accelerate, BGC CIM has been created to meet our clients’ needs to manage their infrastructure price risk via trusted access to liquidity, market intelligence and seamless execution.”
Clients of BGC CIM will also benefit from the full strength, scale and expertise of the BGC Group, including access to Fenics Market Data, BGC’s leading market data business, and Lucera, its connectivity platform. Together, these capabilities are expected to support the development of a more transparent, connected and efficient marketplace for AI infrastructure.
“Compute and memory capacity have many of the characteristics of a commodity market, including supply-demand volatility, forward price risk and the need for clear pricing,” said John Abularrage, Co-Chief Executive Officer of BGC Group. “As the world’s leading energy broker, BGC is uniquely positioned to help clients with execution and liquidity to achieve their long-term economic objectives in the age of AI.”
Source: BGC
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