Blockchain

Polkadot Upgrades with “Agile Coretime”, Transforming Resource Allocation and Unlocking a New Era of Efficiency and Scalability for the Ecosystem

Zug, Switzerland., September 19th, 2024, Chainwire

Agile Coretime Paves the Way for Polkadot 2.0 Improving the Network’s Scalability, Cost, Speed, and Flexibility

The Polkadot community celebrates the release of its latest major product, “Agile Coretime”, as part of the ongoing Polkadot 2.0 upgrade. This new feature represents a significant advancement in how computational resources are allocated and managed within the Polkadot ecosystem, delivering unprecedented efficiency, scalability, and accessibility for projects of all sizes.

Agile Coretime is not just a technical upgrade; it is the most important product launch this year for Polkadot as it evolves, through seamless on-chain governance, into a network ready to onboard the Web3 masses. It also serves as a primary catalyst for the rebirth of the entire ecosystem. By making it easier for projects to build and scale on Polkadot, this feature is designed to attract a new wave of innovative applications and use cases.

As the second crucial component on the path to Polkadot 2.0, which previously saw Asynchronous Backing go live and will later allow for Elastic Scaling, Agile Coretime redefines how blockchain resources are allocated by offering a dynamic, on-demand blockspace model. This new approach replaces the previous auction system, in which single cores were leased for two years at a time. The new approach makes it easier and more cost-effective for projects to access the resources they need, when they need them.

Eskimor, lead developer at Parity Technologies, Polkadot’s leading technical contributor, said: “Agile Coretime is a huge milestone in making the high quality blockspace Polkadot offers more accessible. With this and other features we have in the pipeline, I expect more experimentation and awesome projects to be launched on Polkadot, showcasing its amazing capabilities. Let’s wake our sleeping giant!”

One of the key advantages of Agile Coretime is its ability to align resource availability with actual network demand. By dynamically allocating computational resources, Polkadot ensures that no resources are wasted during low activity periods, while also preventing congestion during peak times. This adaptability is crucial for projects with varying needs, enabling them to scale and operate more efficiently without the burden of high upfront costs.

“Devs have historically faced a binary choice: deploy a smart contract and compete with other protocols for limited blockspace, or deploy a blockchain and pay for a large amount of dedicated blockspace,” says Derek Yoo, CEO of Moonsong Labs, “Agile Coretime addresses this challenge by offering a flexible approach. For projects starting out, you can harness the power and customizability of a blockchain while paying only for the blockspace you need. For mature projects with product-market fit, Agile Coretime allows scaling to meet high levels of demand without the need for sharding.”

For new developers and smaller projects, Agile Coretime lowers the barrier of entry by providing access to Polkadot’s robust infrastructure without the need for significant DOT collateral. This democratizes access, fostering greater innovation and participation within the ecosystem.

Projects can purchase coretime either on-demand or in bulk, providing flexibility or predictability depending on their specific needs. On-demand purchases are ideal for projects with fluctuating demands, while bulk purchases offer stable and reliable resource allocation for teams requiring a steady flow of blockspace.

For media inquiries, please contact Jonathan Duran at Jonathan(at)Distractive(dot)xyz

About Polkadot

Polkadot is the powerful, secure core of Web3, providing a shared foundation that unites some of the world’s most transformative apps and blockchains. Polkadot offers advanced modular architecture that allows devs to easily design and build their own specialized blockchain projects, pooled security that ensures the same high standard for secure block production across all connected chains and apps connected to it, and robust governance that ensures a transparent system where everyone has say in shaping the blockchain ecosystem for growth and sustainability. With Polkadot, you’re not just a participant, you’re a co-creator with the power to shape its future.

 

Contact

Marketing Communications Director
Jen Wheatley
Distractive
jen@distractive.xyz

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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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