HONG KONG SAR – Media OutReach Newswire – 25 June 2026 – Recently, SCNet.AI (www.scnet.ai), headquartered in Hong Kong, has officially launched as a global platform for AI and HPC computing services. Utilizing an e-commerce-style operational model, the platform revolutionizes the accessibility of AI for Science (AI4S) computing resources, enabling researchers around the globe to engage with AI and supercomputing applications effortlessly, much like online shopping.
Putting Scientific Research Agents Within Reach — SCNet.AI Accelerates AI4S Innovation Powered by AI & HPC
Simplifying Innovation: From Bioinformatics to Industrial Simulation
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SCNet.AI aims to bridge the gap between the demand and supply of computing resources, fostering a cohesive ecosystem of research software that delivers an intuitive research computing experience and innovative environments for significant scientific models, catering to global research institutions, businesses, and independent developers.
SCNet.AI focuses on three primary research domains:
- Life Science & Bioinformatics: Tailored for biopharmaceutical firms and academic entities;
- Industrial Manufacturing: Computational fluid dynamics (CFD) and finite element analysis (FEA) for the automotive and semiconductor sectors;
- Physical & Chemical Research: Molecular dynamics simulations for experts in materials science and renewable energy.
Emphasizing the integrated development philosophy of “data, computing power, models, and applications,” SCNet.AI tackles common issues associated with open-source large models, such as complicated deployment, elevated operating costs, and challenging adaptations, all while providing extensive technical support from environment setup to task optimization. This dramatically reduces barriers for researchers to access AI4S computing resources.
E-commerce-style Operational Model: Instant Access & Elastic Scheduling
A standout feature of SCNet.AI is its unique AI4S application marketplace model. Much like leading e-commerce platforms that connect buyers and sellers of physical products, SCNet.AI links researchers with computing power, datasets, research models, and industrial applications.
This approach offers three significant competitive benefits:
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- Immediate on-demand access. All software is provided through SaaS, while research AI agents are available under MaaS. Users can access tools online after subscribing, without the need for local downloads, installations, or upkeep.
- Elastic scaling. Computing resources can be tailored precisely to meet the demands of workloads, from simulation calculations to large model training.
- A unified innovation ecosystem. More than just a marketplace for computing power, SCNet.AI serves as a global collaborative platform for scientific and innovative research.
Currently, the platform features hundreds of premium applications, datasets, and model products. Users can select research applications on demand, similar to navigating an e-commerce website, thus eliminating the necessity for in-house computing facilities or dedicated operational and maintenance teams. A simple registration grants full access, significantly reducing the hidden costs associated with AI4S.
To assist researchers worldwide, SCNet.AI offers a complimentary resource kit for all new registrants, which includes 10M Tokens, 100 GPU Hours (AI Inference), and 100 CPU Core Hours (HPC). This resource can facilitate numerous inference operations for mainstream foundation models, lightweight model fine-tuning, or extensive end-to-end CFD and molecular dynamics simulation experiments.
This promotional offer is valid from June 23 to July 23, 2026, exclusively for first-time registrants. Each new account entity may claim the resource kit only once. All redeemed resources will expire 90 days after collection. Supplies are limited and will be distributed on a first-come, first-served basis until depleted.
For complete information, please visit our official website at www.scnet.ai.
Hashtag: #SCNet.AI
The issuer is solely responsible for the content of this announcement.
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