- Trusted innovation: Backed by Nexera’s tokenization infrastructure and regulatory excellence with Aethir’s global GPU infrastructure for secure and scalable AI solutions.
- Fractional GPU ownership: Tokenize and invest in high-demand GPUs to capitalize on AI growth with seamless, compliant processes.
- Enhanced AI access: Bridge funding gaps for decentralized GPU networks, fueling next-gen generative AI and deep learning applications.
Nexera, a leader in secure, compliant asset tokenization, and Aethir, a pioneer in decentralized GPU compute resources, are pleased to announce a new strategic partnership designed to enable unprecedented access to the computing power necessary for deep learning and generative AI. This collaboration will allow global investors and institutions to participate in the success of AI infrastructure by owning fractions of GPUs and enjoying competitive returns, while also providing much-needed capital to fuel rapid expansion of data centers and next-generation computing resources.
Revolutionizing GPU access for AI growth
As deep learning and generative AI continue to redefine how information is processed and created, the demand for powerful graphics processing units has soared. These GPUs have become the backbone of advanced AI models, enabling researchers and companies to train algorithms capable of writing content, composing music, designing products, and even making key decisions at lightning speed. However, the rapid scaling of these technologies has encountered a fundamental challenge: the difficulty of securing and expanding access to GPU infrastructure, which is often prohibitively expensive and operationally complex.
The partnership between Nexera and Aethir addresses these hurdles. By leveraging Nexera’s expertise and infrastructure in tokenization, it is now possible to convert GPU resources into digital tokens that represent ownership in these highly sought-after assets. Through a simple and transparent process, investors at any scale, ranging from individual market participants to large institutional players, can purchase fractional stakes in GPUs that power cutting-edge AI workloads. This approach makes it simpler to raise capital for GPU expansions and upgrades, ensuring that supply can keep pace with the soaring demand for generative AI services.
Aethir brings to the partnership one of the world’s largest decentralized GPU compute networks, which is essential for fulfilling the complex computational requirements of today’s AI applications. By providing a ready supply of advanced GPU infrastructure, Aethir aligns perfectly with Nexera’s mission to tokenize and distribute high-performance computing resources in ways that were previously impossible. This new model makes it easier for data center operators to secure the funding needed to scale their infrastructure, while also giving AI developers access to more abundant and cost-effective computational resources. As a result, end-users such as startups, researchers, and large-scale enterprises can harness powerful hardware for their deep learning and generative AI models without facing the traditional limitations imposed by cost, geography, or supply.
“Working alongside Aethir, which operates one of the world’s most expansive decentralized GPU networks, transforms how we approach AI infrastructure,” said Rachid Ajaja, Founder & CEO of Nexera. “They’re pushing the envelope, removing traditional barriers, and ensuring innovators everywhere can access the performance they need to fuel the next generation of AI breakthroughs.”
Fractional GPU ownership: A game-changing investment model
The investment appeal is clear. Tokenization has already shown promise in other asset classes. For instance, tokenized treasury bills have grown into a billion-dollar market, proving that serious investors recognize the value of digital asset-backed investments. Yet these traditional instruments often yield modest returns. In contrast, tokenized GPUs offer a much higher potential yield, driven by the explosive growth and utilization of AI workloads. As more developers embrace generative AI models and more businesses incorporate these tools into their workflows, the revenue streams tied to GPU usage stand to outpace many conventional investments.
For example, consider a high-performance GPU that costs around 13,000 dollars and might produce approximately 2,200 dollars in monthly revenue from AI training and inference tasks. By tokenizing that GPU and selling fractions to multiple investors, each participant can receive a proportional share of the monthly returns. For an investor owning ten percent, the monthly distribution of around 220 dollars adds up to a substantial annual yield. As more GPUs join the network and demand grows, these returns can become even more attractive, creating a positive cycle where investor interest and infrastructural expansion drive each other forward.
Enabling AI innovation through scalable infrastructure
From a compliance and operational standpoint, Nexera ensures that every tokenization event meets all necessary legal and regulatory requirements, providing a secure environment for issuing, selling, and managing tokens that represent real-world GPU resources. Smart contracts built into the platform automate revenue sharing and enforce compliance, making the entire process seamless, efficient, and transparent.
Equally important is Nexera’s commitment to obtaining the licenses, frameworks, and certifications that establish a robust legal and security foundation for all participants. Achieving MiCA licensing allows regulated institutions to operate with confidence, while SOC 2 Type 1 and 2 and ISO 27001 certifications confirm that Nexera adheres to the highest standards of data security, operational integrity, and information management. These credentials ensure that sensitive user information remains protected, which helps build trust among enterprises, institutions, and individual investors. Nexera’s Compliance product is VASP-registered and its involvement with Qatar’s Digital Asset Lab at QFCA further underscores the company’s global readiness, assuring every participant, whether a builder, institution, or end-user, that their activities unfold under a strict legal, regulatory, and security framework.
The ultimate beneficiaries are the innovators pushing the boundaries of AI. With more capital flowing into GPU infrastructure, the cost of access can decrease, enabling new experiments, accelerated training times, and more widespread application of these advanced AI models. From generating human-like text and synthesizing realistic images to powering complex simulations and analyzing vast datasets, the potential impact of scaling AI knows no bounds. By lowering the financial barriers to infrastructure growth, this partnership helps unlock the next wave of AI breakthroughs and discoveries.
"Aethir's extremely excited to work on the future of decentralized compute with Evergon. Through their technological and legal frameworks, we're going to be able to bring decentralized compute provision to a whole new wave of investors and institutions" said Jaden Yan Aethir’s Chief Architect
Fueling the next wave of AI innovation
Nexera and Aethir are confident that this strategic partnership marks a crucial step forward in the evolution of AI infrastructure financing. It represents a turning point where investors, hardware providers, and AI developers meet in a global marketplace for digital assets that fuel real-world technology. Instead of forcing operators and companies to navigate outdated funding mechanisms, tokenization provides a direct, flexible, and efficient way to secure the capital needed for continuous growth. The result is a thriving ecosystem that can adapt to the changing needs of AI markets, ensuring that as deep learning and generative AI models advance, the infrastructure that powers them can scale at the same pace.
About Aethir
Aethir is distributed cloud compute infrastructure. It aggregates enterprise-grade GPU chips into a single global network to increase the supply of on-demand cloud compute resources for the AI, gaming, and virtualized compute sectors. Enterprise GPU Owners can unlock the potential of their underutilized GPU chips by becoming their own cloud compute provider. End Users get access to the affordable on-demand compute resources they need to power their AI training and inferencing workloads, real-time rendering applications, and other virtualized compute operations.
