Aethir, a decentralized computing platform, launched an initiative called ACCELERATE targeting up to $2 billion in contracts while expanding compute capacity throughout US and European regions, according to the announcement.
The $2 billion contract target comes before the end of 2026, according to Axe Compute's Q2 2026 earnings call in mid-August. Aethir previously signed $1.3 billion in contracts in July 2026 for US-Europe infrastructure, establishing a base for the new expansion phase.
Aethir operates a decentralized GPU compute network that connects idle computing resources across data centers and enterprises to customers needing processing power. The platform competes with centralized cloud providers by distributing computational load across multiple nodes, reducing costs and latency for applications requiring real-time inference and training workloads.
The ACCELERATE initiative focuses infrastructure investment on North American and European markets. Demand for AI inference and compute services has grown amid broader adoption of large language models and on-chain applications.
Decentralized compute networks have attracted institutional capital as cloud costs rise. Aethir's contract target implies a threefold increase over the $1.3 billion signed in July, compressing the timeline to five months. Meeting the target would require weekly contract velocity of approximately $135 million if distributed evenly through year-end.
The compute infrastructure space remains competitive. Decentralized platforms compete both with one another and with established cloud providers that offer GPU access through centralized platforms. Aethir's geographic focus on the US and Europe narrows its addressable market but concentrates deployment in regions with dense data center infrastructure and regulatory clarity around cryptocurrency-adjacent services.
The company's ability to close the $2 billion in contracts by year-end 2026 will determine whether ACCELERATE sustains enterprise adoption or represents a target built on optimistic booking assumptions.
