Futures
Hundreds of contracts settled in USDT or BTC
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Futures Kickoff
Get prepared for your futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to experience risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Axe Compute completes corporate restructuring on Nasdaq: Aethir's decentralized GPU enters capital markets
The corporate restructuring marks a historic milestone for decentralized computing infrastructure. Predictive Oncology has officially announced its transformation into Axe Compute, beginning operations under the stock symbol AGPU on Nasdaq. With this change, Axe Compute becomes the first publicly traded decentralized GPU infrastructure company on the U.S. major stock exchange, leveraging Aethir’s distributed network to provide enterprise-level computing services.
From Predictive Oncology to Axe Compute: The restructuring opening new doors
This strategic restructuring is not just a rebranding but a complete business model transformation. Through this renewal, Axe Compute will serve as the operational entity directly engaging with enterprise clients, marketing computing solutions built on Aethir’s underlying infrastructure.
The company will utilize the Aethir Strategic Compute Reserve (SCR) as the backbone of its service offerings. This mechanism is specifically designed to address current bottlenecks faced by AI companies: limited GPU supply, extended procurement cycles, and volatile prices in centralized cloud services.
Global decentralized network: 435,000 GPU containers in 93 countries
The technological infrastructure supporting this restructuring is substantial. Aethir’s decentralized GPU network already operates in over 93 countries and 200 regions, with more than 435,000 computing containers deployed. This distributed architecture supports cutting-edge hardware such as NVIDIA H100, H200, B200, and B300, providing the capacity needed for model training, inference, and data-intensive workloads at a global scale.
The available computing power on this network significantly surpasses the limitations of traditional centralized providers, offering the flexibility of multiple deployment points.
Bridging Web3 and Web2: Solving enterprise compatibility dilemmas
What’s remarkable about this restructuring is how Axe Compute positions itself as an intermediary between two worlds: the decentralized Web3 infrastructure and the compliance demands of Web2 enterprises. Previously, corporations faced barriers to adopting decentralized computing resources due to compliance requirements, contractual standards, and availability guarantees.
Axe Compute removes this friction by providing:
This model aims to balance the inherent advantages of decentralization with the operational standards enterprises require.
Strategic significance: Decentralized computing enters capital markets
Axe Compute’s IPO under the symbol AGPU marks a breakthrough in the adoption of decentralized infrastructure. For the first time, U.S. capital markets can directly evaluate a company operating on a distributed GPU network. This brings transparency and legitimacy to a model that previously remained on the periphery of the corporate ecosystem.
As enterprise demand flows into the Aethir network via Axe Compute, the path toward commercializing decentralized GPU computing shifts from experimental phases to large-scale deployments. Projections indicate that enterprise computing power deployment will continue expanding on Aethir’s decentralized network, accelerating the practical application of distributed infrastructure in the AI industry.
This corporate restructuring thus consolidates a hybrid model that could redefine how companies access critical computing resources in the AI era.