Cooperation Invitation | Frost & Sullivan is about to release the '2026 China Token Factory Commercialization White Paper'.

Cooperation Invitation | Frost & Sullivan is about to release the '2026 China Token Factory Commercialization White Paper'.

Published: 2026/11/13

合作邀请函丨沙利文即将发布《2026年中国 Token 工厂商业化白皮书》


As large model systems gradually integrate into corporate business processes, applications such as intelligent customer service, knowledge retrieval, code generation, and smart agents are accelerating their development. The market competition for AI services is shifting from the demonstration of model capabilities to large-scale supply and ongoing operation. In response to the evolving reasoning needs, how computing power investment is transformed into stable, deliverable AI services, and how service efficiency supports cost control and commercial returns, have become key issues of common concern among industry participants. Under these circumstances, a Token Factory, centered on large model reasoning and leveraging computing power infrastructure, models, reasoning software, service platforms, and operation systems for continuous production and delivery of AI services carried by Tokens, is emerging as an important business model that connects computing power supply and application needs, and its commercialization process offers new growth opportunities for computing power operators, model companies, service platforms, and application companies.


Based on its long-term insights into artificial intelligence infrastructure and service models, Frost & Sullivan (hereafter referred to as "Frost & Sullivan") will initiate the preparation and drafting of the '2026 China Token Factory Commercialization White Paper'. The white paper will provide a multi-dimensional analysis combining the industrial value chain, technology and operation system, cost-benefit analysis, and corporate practice cases, systematically studying the commercialization path of the Token Factory—from computing power investment, reasoning services, to customer delivery—and deeply examining industry trends, thereby offering professional references for industry participants to seize market opportunities and optimize their business layout.

Research Content


This white paper focuses on the commercialization development of China’s Token Factory, systematically outlining the industrial background, business boundaries, and core values, and analyzing the core driving factors for industry development around the deepening application of large model systems, changing reasoning service demands, and evolving computing power operation models; at the same time, the white paper will also examine the coordination between chips and systems, model adaptation, reasoning engine, and service scheduling at the technical and operational levels, explore the application conditions for techniques such as pre-filling and decoding separation, KV cache management, batch processing, quantization, and elastic scheduling, and, using indicators such as throughput, first Token latency, output latency, resource utilization, and energy consumption, analyze the key capabilities of the Token Factory for enhancing effective output under model performance and service requirements.


On this basis, the white paper will systematically break down the value chain divisions among the computing power provider, model company, reasoning service platform, cloud service provider, and application company, covering diverse application scenarios such as intelligent customer service, knowledge assistant, programming assistance, and smart agent, and studying the differentiated demands placed on model capabilities, response speed, concurrent capacity, data security, and service assurance under different business loads; additionally, the white paper will analyze the relationship between resource utilization, customer usage, and unit service cost, as well as distinguish between measurement and pricing frameworks under different models, input and output Tokens, context length, and cache hits, and construct a commercialization analysis framework.


Furthermore, the white paper will study business models such as token-based billing, exclusive instances and reserved capacity, private deployment, and industry solutions, and, in conjunction with representative corporate practices, analyze the characteristics of different models in terms of customer acquisition, revenue structure, delivery requirements, and ongoing operation, and assess the real-world challenges and development opportunities posed by price competition, demand fluctuations, model iteration, and service assurance; simultaneously, the white paper will include companies from the upstream and downstream of the industry chain, presenting their business areas, service models, technology platforms, and application outcomes, and highlighting their core competitiveness and commercialization features.


Frost & Sullivan sincerely invites outstanding companies in related fields of the Token Factory to participate in this research, including intelligent computing centers and computing power service operators, cloud service providers, model companies, reasoning engine and optimization tool companies, model service platforms, related infrastructure manufacturers, and smart agents and industry application companies. Frost & Sullivan looks forward to the joint participation of multiple parties within the industry chain in the research and publication process, enabling a rational expression and consensus-building on industry development under a professional analysis framework, and working together to promote the commercialization and industrial value realization of China’s Token Factory.

Value of Corporate Participation




Global Publication of the White Paper: Enhancing Industry Influence through Commercialization


As a systematic research output in the field of the commercialization of the Token Factory, this white paper will be widely published via Frost & Sullivan’s official website, global media matrix, and technology and industry vertical channels. The white paper will deeply highlight the core strengths of participating companies, focusing on model adaptation and reasoning optimization capabilities, service platform and operation system, typical customer scenarios, cost and efficiency optimization practices, and continuous delivery and large-scale service capabilities. Through a differentiated presentation, it will help the market establish a clear understanding of the companies’ technical strength and commercialization ability, enhance industry influence and brand credibility, and provide companies with an authoritative platform for voice and centralized display.



Connecting the Industrial Ecosystem and Expanding the Cooperation Network


The white paper will establish an exchange platform connecting multiple parties across the Token Factory’s industrial chain, promoting deep interaction and resource alignment among companies with different positions. Computing power operators, model companies, reasoning service platforms, and industry application companies can differentiate their businesses, facilitate demand communication and capability matching, and promote the complementary combination of computing power supply, model service, reasoning optimization, and application delivery, thereby enhancing mutual understanding with investment institutions and industry partners and creating more possibilities for API service cooperation, exclusive deployment, industry solution development, and business expansion.



Strengthening Professional Positioning and Building Brand Recognition


Leveraging the white paper’s systematic analysis of the cost-benefit, service model, and commercialization path of the Token Factory, the professional expertise of participating companies will be objectively presented. Through the detailed presentation of the research content, their recognition and influence in areas such as reasoning efficiency optimization, computing power operation, model service, service assurance, or industry scenario delivery will be enhanced, highlighting their understanding of customer demands and business value and solidifying their differentiated market positioning.



Connecting with Diverse Capital and Seizing Strategic Opportunities


With Frost & Sullivan’s network of investment institutions and industry partners in the technology and industry sectors, the publication of the white paper will effectively increase a company’s visibility and expand opportunities for communication with diverse capital. Companies that provide reasoning engines and optimization tools can reach VC/PE firms that focus on core technological innovation; model service platforms and industry application companies can connect with industry capital that focuses on customer demand, revenue models, and commercialization potential; large-scale computing power operation and service companies can enhance their mutual understanding with strategic investors who focus on resource utilization efficiency, customer continuous usage, and operating return, and thus build a communication bridge for companies in financing, technical cooperation, mergers and acquisitions, and strategic synergy.



Deepening Long-Term Cooperation and Co-creating Industrial Value


Based on the deep communication established through the white paper cooperation, Frost & Sullivan can work with participating companies to explore diverse collaborative directions, including brand promotion, industrial research, investment and financing consulting, and growth strategy. The two parties may establish a long-term partnership on this basis, and together, they can explore development opportunities from computing power supply to AI service operation, and work together to promote the commercialization and sustainable development of China’s Token Factory.




Participation



Scan the QR code below to register for the case collection and selection.






Contact Us


Frost & Sullivan China

Senior Partner and Managing Director, Jia Pang

Email:

sean.jia@frostchina.com


Frost & Sullivan China

Executive Director, Wang Gengye

Email:

gengye.wang@frostchina.com


Contact:


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