Blockchain

Nosana Announces “Road to Mainnet” with January 2025 Launch

Amsterdam, Netherlands, September 20th, 2024, Chainwire

 

Nosana, the decentralized AI inference engine powered by a global network of consumer GPUs, reveals the official launch date for its Nosana Mainnet: January 14, 2025.

Nosana, a leader in decentralized AI computing, is proud to announce the upcoming launch of its Nosana Mainnet, set for January 14, 2025. This marks a significant milestone for Nosana, following a year of rigorous testing and preparation for full-scale deployment.

“When we first envisioned Nosana, we imagined a world where AI computing would be decentralized, accessible, and limitless—a place where developers could access GPU resources without the traditional barriers of centralized infrastructure,” said Jesse Eisses, co-founder of Nosana. “We recognized early on that existing AI compute solutions were too centralized or too complex, limiting innovation. Our mission from the start was to create a decentralized network that offers scalable, affordable, and open AI computing resources for the next generation of builders and innovators.”

Over the past nine months, the Nosana team has worked alongside its community to test, refine, and prepare the platform for its mainnet release. The network has engaged with over 4000 nodes from 60 countries across 6 continents, tapping into a global GPU provider network and gaining valuable insights from various AI projects to refine its technology.

What Nosana’s Mainnet Brings

Nosana’s Mainnet will transform access to decentralized GPU resources, unlocking crucial power and efficiency for AI inference workloads. With the launch, Nosana’s users and GPU providers will enjoy new features and significant improvements:

  • Nosana Console: A sleek and refined UI for seamless management of AI inference jobs.
  • Client SDK: A robust software development kit enabling developers to easily connect their projects to the Nosana GPU network.
  • Dynamic Pricing: Real-time, market-driven pricing to optimize resource allocation and ensure fair pricing.
  • Advanced Job-to-Node Matching: Efficient job distribution to maximize performance across the network.
  • Unrestricted GPU Grid Access: Clients will have full access to Nosana’s decentralized GPU network, enabling scalable AI operations.

“We are excited to take Nosana to the next level with its mainnet launch, offering full access to decentralized GPU computing” added Eisses.

Test Grid Phase 3: The Final Step Toward Mainnet

On September 30, 2024, Nosana will begin Test Grid Phase 3, its final stage of testing, focusing on refining pricing models, implementing staking, and ensuring the platform is fully prepared for the January launch. This phase will be the last opportunity to test critical components before the mainnet goes live.

Nosana’s Vision for 2025

The mainnet launch is just the beginning for Nosana. As the platform goes live, the company plans to expand its ecosystem and attract a broader range of projects. In Q2 2025, Nosana will host its first global hackathon, inviting developers and startups to explore new applications for AI inference on its decentralized GPU grid.

“As open-source developers, Jesse Eisses and I wanted to create a solution that moves away from the high costs, inflexibility, and control of centralized cloud providers,” said Sjoerd Dijkstra, co-founder of Nosana. “We couldn’t have reached this milestone without the support of our community, investors, and partners who believed in our vision for making AI computing more accessible for everyone.”

Nosana’s AI inference marketplace will continue to evolve, with ongoing improvements and new features to keep it at the forefront of decentralized AI technology.

Timeline Overview:

  • September 30, 2024: Start of Test Grid Phase 3
  • January 14, 2025: Nosana Mainnet Launch
  • Q2 2025: Global Hackathon for AI applications on Nosana’s network

About Nosana

Nosana is a decentralized AI inference engine powered by a global network of consumer GPUs. Built on the Solana blockchain, Nosana provides scalable and efficient access to GPU resources for AI workloads. With its cutting-edge infrastructure, dynamic pricing model, and advanced job-to-node matching, Nosana leads the way in decentralized AI computing.

https://nosana.com

 

Contact

CMO
Caroline Johnova
Nosana
caroline@nosana.io

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Independent Expert Assessment Validates RenovaroCube’s Potential as a Groundbreaking AI Platform Starting with Early Cancer Detection

2024-09-17T13:00:00Z

Assessment by specialist AI team from “PersonalAIze” Highlights the Strength, Potential, and Visionary Talent Behind the Innovative Software as a Service (SaaS) Platform

AMSTERDAM, Sept. 17, 2024 (GLOBE NEWSWIRE) -- (Nasdaq: RENB) - PersonalAIze, a cutting-edge company in AI and machine learning applications for healthcare, has conducted a comprehensive evaluation of RenovaroCube’s advanced AI platform. This effort is spearheaded by PersonalAIze CEOs and AI experts, Mark Hoogendoorn and Sandjai Bhulai, who bring their extensive expertise to assess the platform developed under the guidance of Frank van Asch, CTO and co-Founder of the technology on which RenovaroCube is based.

Prof. Mark Hoogendoorn, also a professor of Artificial Intelligence, expressed his enthusiasm: “We were pleased to be engaged to make an assessment of the AI platform; this is exactly the area of PersonalAIze’s expertise.”

Frank van Asch remarked on the collaboration, “The expertise of PersonalAIze’s team is exceptional, and their positive evaluation of our AI/ML platform is invaluable.”

RenovaroCube's AI platform has been advancing innovation for the past 12 years, evolving from its award-winning Fintech roots into a potentially groundbreaking multi-omic molecular differential system that identifies cancer in its earliest stages. It is an open platform that can be used as a SaaS by many private sector and academic or other large hospital and health systems. It is also disease agnostic, so it can be expanded for many purposes.

The initial aim is to transform cancer early detection and early detection of recurrence from a small vial of blood (liquid biopsy), potentially supporting clinicians to initiate treatments as soon as possible towards improved outcomes for patients.

In their analysis, PersonalAIze noted the platform's focus on liquid biopsies and third-generation sequencing coupled with AI techniques as highly promising, potentially allowing for comprehensive analysis across varying cancer types and stages. Prof. Sandjai Bhulai, also a professor of Mathematics, commented on the platform’s unique potential and the impressive multidisciplinary team at RenovaroCube under Frank van Asch’s leadership.

Based on these findings, PersonalAIze is eager to collaborate further with RenovaroCube to enhance and commercialize the platform.

PersonalAIze aims to contribute in several key areas:

  • Advancing AI models by leveraging the latest state-of-the-art techniques.
  • Supporting the professional growth of the software team.
  • Enhancing the explainability of AI models, engaging clinicians in model development.
  • Selecting optimal patient groups for data collection and evaluating models and final products in clinical settings.

This partnership could represent a substantial step forward in the fight against cancer, bringing together AI innovation and healthcare expertise to develop a powerful tool for early detection that has the potential to save countless lives.

About Renovaro
Renovaro aims to accelerate precision and personalized medicine for longevity powered by mutually reinforcing AI and biotechnology platforms for early diagnosis, better-targeted treatments, and drug discovery. Renovaro Inc. includes RenovaroBio with its advanced cell-gene immunotherapy company and RenovaroCube.

RenovaroCube has developed an award-winning AI platform that is committed to the early detection of cancer and its recurrence and monitoring subsequent treatments. RenovaroCube intervenes at a stage where potential therapy can be most effective. RenovaroCube is a molecular data science company with a background in FinTech and a 12-year history. It brings together proprietary artificial intelligence (AI) technology, multi-omics, multi-modal data, and the expertise of a carefully selected multidisciplinary team to radically accelerate precision medicine and enable breakthrough changes in cancer care.

About PersonalAIze
PersonalAIze focusses on building solutions that improve healthcare by leveraging state-of-the-art AI techniques. It has been founded by four experienced professors bringing together decades of research experience in AI and healthcare with the aim to bring the latest scientific AI developments into healthcare practice faster. PersonalAIze does this through both consultancy and product development and targets clinical decision making systems as well as improvement of health care operations such as capacity planning.

Forward-Looking Statements

Statements in this press release that are not strictly historical in nature are forward-looking statements. These statements are only predictions based on current information and expectations and involve a number of risks and uncertainties, including but not limited to the success or efficacy of our pipeline, platform and fundraising. All statements other than historical facts are forward-looking statements, which can be identified by the use of forward-looking terminology such as “believes,” “plans,” “expects,” “aims,” “intends,” “potential,” or similar expressions. Actual events or results may differ materially from those projected in any of such statements due to various uncertainties, including as set forth in Renovaro’s most recent Annual Report on Form 10-K filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. All forward-looking statements are qualified in their entirety by this cautionary statement, and Renovaro Inc. undertakes no obligation to revise or update this press release to reflect events or circumstances after the date hereof.

For media inquiries, please contact: karen@renovarocube.com

Source: Renovaro Inc.


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