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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Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

2024-09-18T08:30:44Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co. Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Segmentation

By Computing Technology

  • Cloud Computing
  • Edge Computing

By Function

  • Inference
  • Training

By Chipset Type

  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Malaysia
  • Rest of Asia Pacific

For more information about this report visit https://www.researchandmarkets.com/r/9spj10

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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