This Spring Festival, DeepSeek has garnered immense popularity. The open-sourcing of its V3, R1, and numerous other versions has democratized advanced AI models, making them accessible to a broader audience beyond overseas giants and a select few individuals. DeepSeek has plucked the flower from the summit of advanced AI, turning it into a technology for everyone.

The industrial intelligentization powered by DeepSeek is inextricably linked to the abundant supply of computing power. National supercomputing internet platforms, among other advanced computing power service providers, facilitate the integration of "cutting-edge models + robust computing power," fostering numerous AI application innovations.

Recently, the national supercomputing internet platform swiftly introduced the comprehensive DeepSeek model family, including the robust R1 version. It offers rapid deployment via API calls and AI web application services, empowering enterprises and developers to seamlessly build exclusive AI applications.

Advanced algorithm models and inclusive supercomputing power are transforming AI into an infrastructure akin to water, electricity, and gas. A nationwide technological movement is underway to expedite the implementation of AI across all applications.

The era of AI for all, epitomized by DeepSeek's universal appeal, necessitates our understanding, exploration, and wholehearted embrace. Grasping the essence of AI for all begins with comprehending why powerful models and supercomputing power were once perceived as inaccessible pinnacles.

Without the intelligentization of every sector, China's overall intelligentization remains elusive. AI for all implies that all industries can readily access advanced AI algorithms and computing power at low costs.

This necessitates the democratization of two fundamental AI components:

Firstly, the democratization of advanced models.

Previously, inference models like OpenAI's GPT-1/GPT-3 were algorithmic pinnacles, with high subscription fees and limited accessibility. Their services were also unavailable in China. Since 2025, through technological breakthroughs such as Mixture of Experts (MoE) and Multi-head Latent Attention (MLA), along with innovations in reinforcement learning training methods, DeepSeek has drastically reduced model training costs. DeepSeek R1 has fully open-sourced its algorithm architecture, weights, and more, breaking the overseas monopoly on advanced inference models and enabling small and medium-sized enterprises to access high-performance AI at affordable prices.

Secondly, the democratization of supercomputing power resources.

While DeepSeek boasts high performance, reducing the computing power demand for training individual models, its widespread adoption across industries will inevitably lead to an increase in the total number of AI models and applications. As Jevons Paradox suggests, improved efficiency in resource utilization may paradoxically increase total resource consumption.

Productivity tools like DeepSeek, which enhance efficiency through technological innovation, will drive a substantial increase in computing power demand due to their widespread application. Considering the current domestic computing landscape, GPU-based dedicated AI computing power is expensive and scarce, unable to support the computing demands of intelligentizing every sector.

In this context, supercomputer-dominated fusion computing power clusters can provide abundant computing power to meet the demands of large model training, inference, and large-scale industrial applications.

Therefore, to alleviate the computing power shortage and cost burden associated with introducing AI in various industries, the democratization and inclusivity of supercomputing power are imperative. However, new challenges have emerged.

For a long time, supercomputing has been perceived as an inaccessible pinnacle in the computing domain, posing significant hurdles for ordinary enterprises and developers. These challenges stem from several aspects:

Firstly, capability. Harnessing diverse and heterogeneous fusion computing power and maximizing its performance for AI tasks requires specific R&D and engineering capabilities, often exceeding the scope of many enterprises and developers.

Secondly, efficiency. The large-scale, high concurrency, stability, and reliability requirements of AI tasks heavily rely on the seamless collaboration of multiple clusters and centers. This involves capabilities such as cross-center resource coordination, inter-calculation interconnection, and calculation-network interconnection, comprehensively testing the efficient operation and management of the computing power platform.

Thirdly, service. From AI development and operation to commercial monetization, the process encompasses numerous links and stages. Supporting the development of agents, vertical models, applications, etc., necessitates a comprehensive tool chain and ecological support, transforming the platform from a mere product seller to a service provider. Many traditional data center operators have yet to make this transformation.

The flourishing of industrial intelligence hinges on both advanced algorithms and supercomputing power. Relying on the vast resources of supercomputing and intelligent computing centers across multiple regions, facilitated by the national supercomputing internet, has become indispensable. While DeepSeek has enabled enterprises and developers to access inclusive models, who will pluck the supercomputing pinnacle's flower for the industry? The national supercomputing internet platform has stepped forward.

Amidst DeepSeek's soaring popularity and frequent server crashes, the national supercomputing internet platform intervened, launching the DeepSeek-R1, V3, Coder series of models, and Chatbot services on February 3. On the first day of launch, it recorded over a million clicks.

The synergy between the national-level computing power platform and DeepSeek has ignited public hope for universal access to the "full-featured" R1. Indeed, the national supercomputing internet platform has lived up to expectations, currently offering the DeepSeek model with a parameter scale of 671B for enterprise development and utilization.

What exactly underpins the national supercomputing internet's ability to handle millions of visits?

It turns out that even before DeepSeek's meteoric rise, the national supercomputing internet had cultivated a fertile ground for industry-accessible supercomputing through diligent nurturing.

On the supply side, focusing on basic computing power:

The supercomputing internet boasts abundant resources, connecting over 20 supercomputing and intelligent computing centers across 14 provinces nationwide. This national integrated computing power service platform is a fertile ground for computing power.

Supported by a robust, secure, and efficient supercomputing internet computing power base, numerous users can now swiftly access and smoothly interact with DeepSeek on the platform via web and mobile terminals.

On the application side, considering the usage threshold for enterprises:

The supercomputing internet has amassed a rich AI ecosystem and deployment experience. The platform currently hosts over 6,600 products, including nearly 240 AI model service products. These encompass domestic open-source models like DeepSeek and Qwen, as well as foreign AI open-source models such as Llama, Stable Diffusion, and Gemma. The extensive model matrix and lightweight tools make the supercomputing internet an efficient AI platform. The platform also hosts an AI community for developers to engage in development, debugging, and knowledge sharing.

With the multifaceted empowerment of models, tools, and communities, ordinary users can quickly experience the capabilities of various large AI models on the platform and effortlessly initiate model deployment, optimization, invocation, and other development tasks, evolving from AI users to AI developers and embracing the boundless opportunities in the intelligent era.

At the ecological level, considering a series of future service guarantees:

The professional service team and ecological support plan of the supercomputing internet platform further promote public participation in AI technological innovation and also aid the growth and prosperity of AI startups like DeepSeek.

On one hand, the supercomputing internet's professional team can promptly address enterprises' personalized container service needs, allowing enterprise customers to focus more on their core business development without being bogged down by trivialities like building AI training environments.

Additionally, through the "AI Ecological Partner Acceleration Plan," enterprise users can receive incentives such as free access to DeepSeek API interfaces for 3 months and a computing power resource pool of tens of millions of card hours, empowering more enterprises to achieve AI innovation, which is expected to further accelerate the widespread adoption of AI in diverse industry scenarios.

In essence, the supercomputing internet has achieved comprehensive coverage from computing power supply to enterprise applications and ecological support, providing end-to-end and comprehensive protection for AI's integration into every sector and pushing AI for all to new heights.

While DeepSeek has gained immense popularity, without continuous access to and supply of inclusive computing power, resource constraints and overwhelmed access will swiftly erode public and corporate enthusiasm for using and exploring AI. Without AI innovation across all sectors, breakthroughs in domestic AI will remain confined to the developer community, failing to translate into business opportunities. Domestic AI technology cannot achieve a virtuous cycle from research and development to commercialization.

From this perspective, the provision of computing power is a prerequisite for China to seize the innovation opportunities presented by DeepSeek.

The national supercomputing internet and DeepSeek are hand in hand, advancing together to promote the democratization of diverse and massive computing power, filling the crucial computing power gap in AI for all.

The flower of AI for all, rooted in the algorithm and supercomputing base, blooms in this spring, heralding the acceleration of industrial intelligentization.

As AI for all permeates every sector, an intelligent China thrives.