ABU DHABİ, United Arab Emirates, April 03, 2026 (GLOBE NEWSWIRE) -- FAR Labs, an AI native lab building infrastructure, AI as Service (AIaS) and physical AI systems powered by Dizzaract, announced today that its FAR AI has moved into closed testing with selected partners after completing its core development. The company is also opening node registrations, with early registrants set to receive priority onboarding when approved operators come online.
FAR AI is secure, efficient and distributed AI inference, that connects consumer and enterprise GPUs into a single network, intelligently routing inference requests to optimal nodes for performance and reliability unlocking the potential of over 3B idle GPUs worldwide and giving their owners the opportunity to get paid for providing compute resources. While developers use a simple API to run AI inference across existing systems, integrate AI into products, and build new applications and startups.
The system routes workloads across a broad range of hardware and matches models to the right compute environment in real time. When larger jobs require more memory, FAR AI can group compatible nodes together to execute workloads efficiently across the network.
“FAR AI is built to make participation in AI infrastructure more open and more practical,” said Ilman Shazhaev, founder and CEO of Dizzaract. “Useful compute already exists in places far beyond traditional data centers. FAR AI brings that capacity online in a way that is practical for operators and immediately usable for developers.”
Security and verification are built into the network from the start. FAR AI uses isolated execution and encrypted communication, with proof-of-compute to confirm that workloads are processed securely and that network activity is accountable. Closed testing with selected partners is focused on live performance and developer workflows. FAR Labs is using this phase to refine orchestration ahead of wider access.
Developers will be able to access FAR AI through API and integrate distributed inference into existing products in the second quarter of this year. The same network can support new AI apps and startups without requiring teams to build the infrastructure themselves.
Users can register as node operators on the FAR AI website.
About FAR Labs
FAR Labs is an AI native lab building infrastructure, AI as Service (AIaS) and physical AI systems. Building FAR AI - secure, efficient and distributed AI inference. We connect consumer and enterprise GPUs into a single network, intelligently routing inference requests to optimal nodes for performance and reliability and giving their owners the opportunity to get paid for providing compute resources. While developers use a simple API to run AI inference across existing systems, integrate AI into products, and build new applications and startups.
Media Contact
Océane Bonnet
oceane@input.global
Disclaimer:This sponsored content is provided by the content provider and does not necessarily reflect the views of this media platform or its publisher. The information is shared for general informational purposes only and should not be considered financial, investment, or trading advice. Cryptocurrency and mining-related activities carry risks, including the potential loss of capital, and readers are encouraged to conduct their own research and seek professional advice where appropriate. Speculate only with funds that you can afford to lose.The media platform and publisher assume no responsibility for any losses or claims arising from reliance on this content. GlobeNewswire does not endorse any content on this page.
Legal Disclaimer: This article is provided on an “as-is” basis, without warranties or representations of any kind, express or implied. The media platform assumes no responsibility or liability for the accuracy, content, completeness, legality, or reliability of the information presented. Any complaints, claims, or copyright concerns related to this article should be directed to the content provider mentioned above.
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/fe7e7581-ad0a-4422-b768-d27f5a141d1b
