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- 机构：2026年二季度全球DRAM市场规模1470.24亿美元 环比增长55.9%格隆汇9月4日｜据CFM闪存市场数据，2026年二季度全球DRAM市场规模1470.24亿美元，环比增长55.9%，创历史新高。原厂二季度积极响应服务器市场的强劲需求，继续扩大服务器DRAM、HBM等高附加值产品销售，相对于第一季度服务器、PCDRAMASP环比翻倍增长，二季度涨幅较为放缓至40%-50%区间。有利的定价环境推动原厂DRAM价格持续走强，整体实现量价齐升，从而带动原厂二季度销售收入...
- Xunce Technology、TokenCloudを発表――フルチェーンAIインフラでコンピューティングパワーの価値を再定義し、トークンエコノミー時代のリーディングポジションを確立香港, 2026年9月4日 - Xunce Technology (3317.HK) は、TokenCloudオールインワンAIモデルのトレーニングおよびデプロイメント向けコンピューティングパワープラットフォームを正式に発表した。データ資源をトークンへ変換するためのハードウェアリソースおよびインフラとして、TokenCloudは、異種コンピューティングデバイスを基盤とし、主流のアルゴリズムモデルを動力とし、社内外の複数のソースから得られるデータを活用し、業界の垂直型顧客にサービスを提供する、4層の相互連携エコシステムを構築した。同プラットフォームは、データからトークンに至るフルチェーンの価値創出経路を確立し、あらゆるデータが安全かつ効率的にそのインテリジェントな価値を引き出せるようにすることで、各業界がデータ資源を真のAI生産力へと転換することを支援する。 TokenCloudの発表は、Xunce Technologyが「コンピューティングパワー—データ—トークン—モデル—アプリケーション」を包括するフルチェーンの製品クローズドループを正式に確立したことを意味する。この成果は、「デジタル基盤」から「AI生産力プラットフォーム」への飛躍を示すものであり、トークンエコノミー時代における戦略的ポジションを確保するとともに、「データからトークン」までの価値チェーン全体をつなぐAIインフラのモデルを業界に提供する。 シナリオ主導型のエンドツーエンド・クローズドループを構築し、すぐに利用可能なAIインフラを提供 企業におけるAIアプリケーションが「技術的な実現可能性の検証」から「エンジニアリング効率をめぐる競争」へと移行する中、コンピューティングパワー不足、モデル選定の難しさ、ハードウェア互換性の問題、デプロイメント最適化の課題、重大なセキュリティ上の懸念など、システム全体に関わる課題がAI導入を阻む最大のボトルネックとなっている。 TokenCloudは、まさにこうした課題を解決するために開発された。トークン産業チェーンの上流に位置する中核的な「ハードウェアおよびエネルギー基盤」として、「あらゆる単位のコンピューティングパワーが、あらゆる企業のAIシナリオに正確に対応することを保証する」という原則に基づき、「シナリオ特定 → モデル選定 → ハードウェア適合 → トレーニング最適化 → セキュアデリバリー」にまたがる完全なクローズドループプロセスを構築した。ビジネスシナリオとタスクに基づき、最適なモデルをインテリジェントに推奨し、それに最も適したハードウェアをマッチングする。さらに、蒸留最適化を活用して軽量かつ「専門化された」モデルを実現し、高い精度を維持しながら推論を高速化し、最終的に安全なデリバリーまでつなげる。各プロセスをシームレスに連携させることで、企業顧客にすぐに利用可能なAIインフラを提供する。 製品設計において、TokenCloudは「フルチェーン可視化」の理念を採用し、AIデプロイメントにおいて従来分断されていたモデル選定、コンピューティングパワー構成、セキュリティ管理、コスト評価などのプロセスを、統合された意思決定プラットフォームに集約している。同プラットフォームは、ソリューション選定、モデル蒸留、データセキュリティ管理、コンピューティングパワー高速化、コンピューティングリソース管理という5つの中核モジュールで構成され、企業のAIデプロイメントを経験則に基づくアプローチから「データドリブンな意思決定」へと転換する。これにより、コンピューティングパワーの各割り当てにおける投資対効果（ROI）を明確に定量化し、性能、コスト、セキュリティの動的なバランスを実現する。 4つの中核能力が競争障壁を構築し、モデルとコンピューティングパワーの深い連携を実現 トークンの実際の価値は、4つの主要な指標によって決まる。すなわち、初回文字レイテンシー、生成速度、同時処理能力、サービス安定性である。ハードウェアとソフトウェアの協調最適化を通じて、TokenCloudは高品質なトークンの大規模供給を可能にし、最適なモデルとハードウェアの組み合わせによって、あらゆるデータが最大限のトークン価値を引き出せるようにする。 具体的には、TokenCloudは、異種ハードウェアプラットフォーム、Cloud-Edge Collaboration Architecture、モデル評価・最適化、セキュア・アイソレーションという4つの中核能力を通じて、業界をリードする技術的障壁を構築している。 異種ハードウェアプラットフォーム — GPU、NPU、FPGA、CPUなど多様なコンピューティングリソースを統合し、異なるアーキテクチャ間での統合管理とインテリジェントなスケジューリングを可能にする。数百枚から数万枚に及ぶカードまで、あらゆるシナリオをカバーし、基盤となる異なるハードウェアリソースを統一されたコンピューティングユニットとして抽象化する。 Cloud-Edge Synergy Architecture — 「クラウドコンピューティングパワーとオンプレミスコンピューティングパワー」を組み合わせたハイブリッドデプロイメントモデルを構築し、大規模なトレーニングや高同時実行推論に対応するための柔軟なスケーリングを可能にすると同時に、企業の生データを安全な領域内に保持する。これにより、企業はクラウドのコンピューティングパワーを活用しながら、常に完全なデータ主権を維持できる。 モデル評価・最適化システム — 基盤能力、シナリオ適応、エンジニアリング最適化、エコシステム価値を網羅する包括的な評価フレームワークを構築する。タスク固有の蒸留最適化をサポートし、大規模モデルの中核能力を軽量なシナリオ特化型モデルへ移行することで、高い精度を維持しながら推論レイテンシーとハードウェアコストを大幅に削減する。 特に重要なのがコンピューティングパワーの高速化である。チップのコンピューティングパワーが向上し続ける一方で、実際の有効スループットは理論上のピーク性能を大きく下回っている。TokenCloudはエンドツーエンドの高速化能力を通じて、初回トークンレイテンシーを大幅に削減し、同時処理能力を向上させることで、アクセラレーションカードを「計算待ち」の状態から「継続的な計算」が可能な状態へと転換する。これにより、企業は追加のハードウェアを導入することなく、より大きな業務量に対応でき、精度、速度、コスト、デプロイメント効率の最適なバランスを実現するとともに、高品質なトークンの大規模供給を可能にする。 セキュリティ・アイソレーション・メカニズム — データの可視性を階層化し、データの全行程における流れを完全に追跡可能とする多層的なセキュリティ保護システムを構築する。高度に機密性の高いデータを企業のローカルセキュリティ領域内に100%保持し、マルチテナント・アイソレーション、暗号化通信、アクセス制御という3つの対策を組み合わせる。 市場に存在する単純なコンピューティングパワー・レンタルプラットフォームやモデルサービスプラットフォームとは異なり、TokenCloudはモデルとコンピューティングパワーの深い連携を実現している。プラットフォームがモデルの蒸留度合いとデプロイメントに使用するハードウェアを一元的に決定し、精度、速度、コスト、効率の最適なバランスを確保する。モデル選定、ハードウェアマッチング、蒸留最適化からなる包括的なワンストップサービスを企業顧客に提供し、「コンピューティングパワー—データ—Token—モデル—アプリケーション」のチェーン全体をカバーすることで、企業AIの実装を加速する。 ソフトウェアとハードウェアの連携によりフルパス・ループを完成、フルスタックAI製品が業界導入を加速 TokenCloudの発表により、Xunce Technologyのフルパス製品エコシステムは完全な商用クローズドループを形成した。これに先立ち、同社は世界初のTokenOSオペレーティングシステムを発表しており、両システムはそれぞれ明確な役割を持ちながら、相互に連携して機能する。 TokenOSはデータ能力に重点を置き、企業が保有する複数ソースかつ異種のデータを、標準化されたシナリオベースのTokenへリアルタイムで変換し、「データの利用可能性」の問題を解決する。TokenCloudはモデルのトレーニングおよびデプロイメント、「データ＋モデル」の統合能力に重点を置く。コンピューティングパワーのスケジューリング、モデル推論の最適化、企業向け小規模モデルの精製、チューニング、オーケストレーションを統合し、データ取り込みからアプリケーションデプロイメントまでの全チェーンをつなぐとともに、Token生成のためのハードウェアサービスを提供する。 このソフトウェアとハードウェアの連携に、基盤となるAIDPデータリソース処理サービスシステムと、上位レイヤーに位置するTokenRoutersモデル成果物サービスおよびシナリオ統合・交換センターを組み合わせることで、両ソリューションは「コンピューティングパワー—データ—Token—モデル—アプリケーション」の完全なクローズドループ・エコシステムを形成する。これにより企業は、コンピューティングパワー、データ、モデルの連携を通じて、デプロイメントコストを大幅に削減し、マッチング効率を向上させることができる。Xunce Technologyは、AIリアルタイムデータインフラサービスプロバイダーから、AI-to-B統合型インフラサービスプロバイダーへと全面的なアップグレードを遂げた。 さらに、Xunce Technologyは複数の国内GPUメーカーと提携し、「コンピューティングパワーとデータ」の統合に注力している。AIフルスタックのローカライゼーションが体系的なエンジニアリング最適化の段階へと移行する中、TokenCloudは国内の異種コンピューティングパワーと企業AIアプリケーションをつなぐ重要なハブとなり、エコシステムにおいて大きな戦略的価値を提供している。 現在、同社は金融、通信、電力、エネルギー、ハイエンド製造、バイオ医薬品、ロボットトレーニング、商業宇宙、都市運営、低空経済、スマートビークルを含む11の高付加価値産業へ事業を拡大している。2026年上半期には、Tokenビジネスモデルがバイオ医薬品、エネルギーディスパッチ、産業品質検査などの高付加価値シナリオで実装に成功し、業界横断的な展開・複製に向けた基盤を築いた。 コンピューティングパワーの最終的な目的は、単にチップを積み重ねることではなく、あらゆるデータを安全かつ効率的にトークン価値へと変換できるようにすることである。AIが「モデル競争」の段階から「デプロイメント競争」の段階へと移行する中、企業に必要なのは単独のコンピューティングパワーや単独のモデルではなく、コンピューティングパワー、データ、モデルを統合し、企業のビジネスシナリオに真に適応できる統合型インフラである。統合型AIインフラとして位置付けられるTokenCloudは、コンピューティングパワーがモデルにサービスを提供し、モデルがシナリオにサービスを提供し、シナリオが価値を生み出すことを可能にし、中国の各業界におけるAIトランスフォーメーションのための強固なコンピューティングパワー基盤を構築する。
- 机构：CPU供给改善 2026年全球笔记本出货年减幅收敛至9.4%格隆汇9月4日丨根据TrendForce集邦咨询最新笔记本产业研究，2026年第二季起笔记本CPU供应显著改善，品牌厂采购、生产节奏逐步恢复，并考量DRAM和SSD成本持续上升，愿意更积极提前备货、锁定零部件，带动上半年出货优于预期。然而，存储器涨价趋势不变，且CPU价格也上调，品牌面临的成本压力已进一步扩大。TrendForce集邦咨询表示，2026年下半年随着CPU短缺情况趋缓，品牌持续提前备...
- MINISFORUMMINISFORUM Unveils Next-Gen Edge AI Computing Solutions Powered by AMD Ryzen AI MAX+ PRO 495 at IFA 2026MINISFORUM, a Global Edge Computing Solution Brand & System Integrator, today unveiled two new local AI computing solutions powered by the AMD Ryzen™ AI MAX+ PRO 495 processor: the AI Mini Workstation MS-S1 MAX-P495 and the AI Agent NAS N5 MAX-P495....
- ACEMAGICACEMAGIC First to Introduce Ryzen AI Max+ PRO 495 AI Mini Workstation at IFA 2026ACEMAGIC will exhibit its latest computing products at IFA 2026, taking place from September 4 to 8 at Messe Berlin, Hall 6.2, Booth 128. Among the products on display is the F9A AI mini workstation powered by the AMD Ryzen AI Max+ PRO 495 processor....
- Skyworks to Present at the Goldman Sachs Communacopia and Technology ConferenceCompanies: Skyworks SolutionsSkyworks Solutions, Inc. (Nasdaq: SWKS), an innovator of high-performance analog and mixed-signal semiconductors connecting people, places and things, today announced that executives will participate in a fireside chat at the Goldman Sachs Communacopia and Technology Conference in San Francisco at 2:25p.m. PDT on Sept. 10, 2026.
- Xunce Technology Launches TokenCloud, Redefining the Value of Computing Power Through Full-Chain AI Infrastructure and Securing a Leading Position in the Token Economy EraHONG KONG, Sept 3, 2026 - On September 3, Xunce Technology (3317.HK) officially launched the TokenCloud all-in-one AI model training and deployment computing power platform. As the hardware resources and infrastructure that facilitate the conversion of data resources into tokens, TokenCloud builds a four-tier, synergistic ecosystem based on heterogeneous computing devices, powered by mainstream algorithmic models, fueled by multi-source internal and external data, and serving vertical industry clients. It is dedicated to establishing a full-chain value pathway from data to tokens, enabling every piece of data to securely and efficiently unlock its intelligent value, and helping industries across the board transform data resources into genuine AI productivity. The launch of TokenCloud marks Xunce Technology’s formal establishment of a full-chain product closed-loop encompassing “computing power—data—tokens—models—applications.” This achievement signifies a leap from a “digital foundation” to an “AI productivity platform,” securing a strategic vantage point in the token economy era while providing the industry with a model for AI infrastructure that bridges the entire “data-to-token” value chain. Building a Scenario-Driven, End-to-End Closed Loop to Provide Out-of-the-Box AI Infrastructure As enterprise AI applications shift from “proof of technical feasibility” to “competition in engineering efficiency,” systemic challenges—such as computing power shortages, difficulties in model selection, hardware compatibility issues, challenges in optimized deployment, and significant security concerns—are becoming the biggest bottlenecks hindering AI implementation. TokenCloud was created precisely to address these pain points. Positioned as the core “hardware and energy foundation” at the upstream of the token industry chain, it adheres to the principle of “ensuring every unit of computing power precisely serves every enterprise AI scenario.” It has built a complete closed-loop process spanning “scenario identification → model selection → hardware matching → training optimization → secure delivery.” Based on business scenarios and tasks, it intelligently recommends the optimal model and matches it with the most suitable hardware. It then uses distillation optimization to enable lightweight, “specialized” models to achieve accelerated inference with high accuracy, all the way through to secure delivery. With each step seamlessly linked, it provides enterprise customers with out-of-the-box AI infrastructure. In terms of product design, TokenCloud adopts a “full-chain visualization” philosophy, integrating the previously disparate processes of model selection, computing power configuration, security management, and cost assessment in AI deployment into a unified decision-making platform. Comprising five core modules—solution selection, model distillation, data security management, computing power acceleration, and computing resource management—this platform shifts enterprise AI deployment from “rule-of-thumb” approaches to “data-driven decision-making.” It ensures that the return on investment for every computing power allocation is clearly quantifiable, achieving a dynamic balance among performance, cost, and security. Four Core Capabilities Build Competitive Barriers and Enable Deep Synergy Between Models and Computing Power The actual value of a token is determined by four key metrics: first-character latency, generation speed, concurrent processing capacity, and service stability. Through Hardware-Software Co-Optimization, TokenCloud enables the large-scale supply of high-quality tokens—ensuring that every piece of data unleashes its maximum token value through the optimal combination of models and hardware. Specifically, TokenCloud has established industry-leading technological barriers through four core capabilities: a heterogeneous hardware platform, Cloud-Edge Collaboration Architecture, model evaluation and optimization, and secure isolation: Heterogeneous Hardware Platform—Integrates diverse computing resources such as GPUs, NPUs, FPGAs, and CPUs to enable unified management and intelligent scheduling across architectures. It supports full-scenario coverage ranging from hundreds to tens of thousands of cards, abstracting underlying, disparate hardware resources into unified computing units. Cloud-Edge Synergy Architecture—Establishes a hybrid deployment model combining “cloud computing power and on-premises computing power,” enabling elastic scaling to handle large-scale training and high-concurrency inference while ensuring that enterprises’ raw data remains within secure domains. This allows enterprises to enjoy cloud computing power while maintaining full data sovereignty at all times. Model Evaluation and Optimization System—Establishes a comprehensive evaluation framework covering foundational capabilities, scenario adaptation, engineering optimization, and ecosystem value. It supports task-specific distillation optimization, transferring the core capabilities of large models to lightweight scenario-specific models, thereby significantly reducing inference latency and hardware costs while maintaining high accuracy. Of particular importance is computing power acceleration—while chip computing power continues to rise, actual effective throughput remains far below theoretical peak values. Through end-to-end acceleration capabilities, TokenCloud significantly reduces first-token latency and enhances concurrent processing capacity, transforming acceleration cards from “waiting for computation” to “continuous computation.” This enables enterprises to support larger business volumes without additional hardware, achieving the optimal balance between accuracy, speed, cost, and deployment efficiency, and enabling the large-scale supply of high-quality tokens. Security Isolation Mechanism—We build a multi-layered security protection system where data visibility is tiered and data flow is fully traceable throughout its entire journey. Highly sensitive data is 100% locked within the enterprise’s local security domain, with a three-pronged approach combining multi-tenant isolation, encrypted transmission, and access control. Unlike simple computing power rental platforms or model service platforms on the market, TokenCloud achieves deep synergy between models and computing power—the platform centrally determines the degree of model distillation and the hardware for deployment, ensuring the optimal balance of accuracy, speed, cost, and efficiency. It provides enterprise customers with a comprehensive, one-stop service solution—from model selection and hardware matching to distillation optimization—covering the entire “computing power—data—Token—model—application” chain to accelerate the implementation of enterprise AI. Software and Hardware Synergy Closes the Full-Path Loop; Full-Stack AI Products Accelerate Industry Adoption The launch of TokenCloud has enabled Xunce Technology’s full-path product ecosystem to form a complete commercial loop. Previously, the company had introduced the world’s first TokenOS operating system; the two systems have clearly defined roles and operate in synergy. TokenOS focuses on data capabilities, transforming enterprises’ multi-source, heterogeneous data into standardized scenario-based Tokens in real time, thereby addressing the issue of “data usability.” TokenCloud focuses on model training and deployment, as well as “data + model” integration capabilities. It integrates computing power scheduling, model inference optimization, and the refinement, tuning, and orchestration of enterprise-level small models, bridging the entire chain from data ingestion to application deployment and providing hardware service support for Token generation. Through this synergy between software and hardware, combined with the underlying AIDP data resource processing service system and the top-level TokenRouters model outcomes service and scenario integration and exchange center, the two solutions together form a complete “computing power—data—Token—model—application” closed-loop ecosystem. This enables enterprises to significantly reduce deployment costs and improve matching efficiency through the synergy of computing power, data, and models. Xunce Technology has also undergone a comprehensive upgrade from an AI real-time data infrastructure service provider to an integrated AI-to-B infrastructure service provider. Furthermore, Xunce Technology has partnered with multiple domestic GPU manufacturers to focus on the integration of “computing power and data.” As the localization of the full AI stack enters the stage of systematic engineering optimization, TokenCloud has become a key hub connecting domestic heterogeneous computing power with enterprise AI applications, offering significant strategic value within the ecosystem. Currently, the company has expanded into eleven high-value industries, including finance, telecommunications, power, energy, high-end manufacturing, biomedicine, robotics training, commercial space, urban operations, the low-altitude economy, and smart vehicles. In the first half of 2026, the Token business model was successfully implemented in high-value scenarios such as biomedicine, energy dispatch, and industrial quality inspection, laying the groundwork for cross-industry replication. The ultimate goal of computing power is not to simply stack chips, but to ensure that every piece of data can be securely and efficiently converted into token value. As AI transitions from the “model competition” phase to the “deployment competition” phase, enterprises need not isolated computing power or isolated models, but rather an integrated infrastructure capable of combining computing power, data, and models to truly adapt to enterprise business scenarios. Positioned as an integrated AI infrastructure, TokenCloud enables computing power to serve models, models to serve scenarios, and scenarios to generate value, thereby laying a solid computing power foundation for the AI transformation of China’s myriad industries.
- Xunce Technology Launches TokenCloud, Redefining the Value of Computing Power Through Full-Chain AI Infrastructure and Securing a Leading Position in the Token Economy EraHONG KONG, Sept 3, 2026 - On September 3, Xunce Technology (3317.HK) officially launched the TokenCloud all-in-one AI model training and deployment computing power platform. As the hardware resources and infrastructure that facilitate the conversion of data resources into tokens, TokenCloud builds a four-tier, synergistic ecosystem based on heterogeneous computing devices, powered by mainstream algorithmic models, fueled by multi-source internal and external data, and serving vertical industry clients. It is dedicated to establishing a full-chain value pathway from data to tokens, enabling every piece of data to securely and efficiently unlock its intelligent value, and helping industries across the board transform data resources into genuine AI productivity. The launch of TokenCloud marks Xunce Technology’s formal establishment of a full-chain product closed-loop encompassing “computing power—data—tokens—models—applications.” This achievement signifies a leap from a “digital foundation” to an “AI productivity platform,” securing a strategic vantage point in the token economy era while providing the industry with a model for AI infrastructure that bridges the entire “data-to-token” value chain. Building a Scenario-Driven, End-to-End Closed Loop to Provide Out-of-the-Box AI Infrastructure As enterprise AI applications shift from “proof of technical feasibility” to “competition in engineering efficiency,” systemic challenges—such as computing power shortages, difficulties in model selection, hardware compatibility issues, challenges in optimized deployment, and significant security concerns—are becoming the biggest bottlenecks hindering AI implementation. TokenCloud was created precisely to address these pain points. Positioned as the core “hardware and energy foundation” at the upstream of the token industry chain, it adheres to the principle of “ensuring every unit of computing power precisely serves every enterprise AI scenario.” It has built a complete closed-loop process spanning “scenario identification → model selection → hardware matching → training optimization → secure delivery.” Based on business scenarios and tasks, it intelligently recommends the optimal model and matches it with the most suitable hardware. It then uses distillation optimization to enable lightweight, “specialized” models to achieve accelerated inference with high accuracy, all the way through to secure delivery. With each step seamlessly linked, it provides enterprise customers with out-of-the-box AI infrastructure. In terms of product design, TokenCloud adopts a “full-chain visualization” philosophy, integrating the previously disparate processes of model selection, computing power configuration, security management, and cost assessment in AI deployment into a unified decision-making platform. Comprising five core modules—solution selection, model distillation, data security management, computing power acceleration, and computing resource management—this platform shifts enterprise AI deployment from “rule-of-thumb” approaches to “data-driven decision-making.” It ensures that the return on investment for every computing power allocation is clearly quantifiable, achieving a dynamic balance among performance, cost, and security. Four Core Capabilities Build Competitive Barriers and Enable Deep Synergy Between Models and Computing Power The actual value of a token is determined by four key metrics: first-character latency, generation speed, concurrent processing capacity, and service stability. Through Hardware-Software Co-Optimization, TokenCloud enables the large-scale supply of high-quality tokens—ensuring that every piece of data unleashes its maximum token value through the optimal combination of models and hardware. Specifically, TokenCloud has established industry-leading technological barriers through four core capabilities: a heterogeneous hardware platform, Cloud-Edge Collaboration Architecture, model evaluation and optimization, and secure isolation: Heterogeneous Hardware Platform—Integrates diverse computing resources such as GPUs, NPUs, FPGAs, and CPUs to enable unified management and intelligent scheduling across architectures. It supports full-scenario coverage ranging from hundreds to tens of thousands of cards, abstracting underlying, disparate hardware resources into unified computing units. Cloud-Edge Synergy Architecture—Establishes a hybrid deployment model combining “cloud computing power and on-premises computing power,” enabling elastic scaling to handle large-scale training and high-concurrency inference while ensuring that enterprises’ raw data remains within secure domains. This allows enterprises to enjoy cloud computing power while maintaining full data sovereignty at all times. Model Evaluation and Optimization System—Establishes a comprehensive evaluation framework covering foundational capabilities, scenario adaptation, engineering optimization, and ecosystem value. It supports task-specific distillation optimization, transferring the core capabilities of large models to lightweight scenario-specific models, thereby significantly reducing inference latency and hardware costs while maintaining high accuracy. Of particular importance is computing power acceleration—while chip computing power continues to rise, actual effective throughput remains far below theoretical peak values. Through end-to-end acceleration capabilities, TokenCloud significantly reduces first-token latency and enhances concurrent processing capacity, transforming acceleration cards from “waiting for computation” to “continuous computation.” This enables enterprises to support larger business volumes without additional hardware, achieving the optimal balance between accuracy, speed, cost, and deployment efficiency, and enabling the large-scale supply of high-quality tokens. Security Isolation Mechanism—We build a multi-layered security protection system where data visibility is tiered and data flow is fully traceable throughout its entire journey. Highly sensitive data is 100% locked within the enterprise’s local security domain, with a three-pronged approach combining multi-tenant isolation, encrypted transmission, and access control. Unlike simple computing power rental platforms or model service platforms on the market, TokenCloud achieves deep synergy between models and computing power—the platform centrally determines the degree of model distillation and the hardware for deployment, ensuring the optimal balance of accuracy, speed, cost, and efficiency. It provides enterprise customers with a comprehensive, one-stop service solution—from model selection and hardware matching to distillation optimization—covering the entire “computing power—data—Token—model—application” chain to accelerate the implementation of enterprise AI. Software and Hardware Synergy Closes the Full-Path Loop; Full-Stack AI Products Accelerate Industry Adoption The launch of TokenCloud has enabled Xunce Technology’s full-path product ecosystem to form a complete commercial loop. Previously, the company had introduced the world’s first TokenOS operating system; the two systems have clearly defined roles and operate in synergy. TokenOS focuses on data capabilities, transforming enterprises’ multi-source, heterogeneous data into standardized scenario-based Tokens in real time, thereby addressing the issue of “data usability.” TokenCloud focuses on model training and deployment, as well as “data + model” integration capabilities. It integrates computing power scheduling, model inference optimization, and the refinement, tuning, and orchestration of enterprise-level small models, bridging the entire chain from data ingestion to application deployment and providing hardware service support for Token generation. Through this synergy between software and hardware, combined with the underlying AIDP data resource processing service system and the top-level TokenRouters model outcomes service and scenario integration and exchange center, the two solutions together form a complete “computing power—data—Token—model—application” closed-loop ecosystem. This enables enterprises to significantly reduce deployment costs and improve matching efficiency through the synergy of computing power, data, and models. Xunce Technology has also undergone a comprehensive upgrade from an AI real-time data infrastructure service provider to an integrated AI-to-B infrastructure service provider. Furthermore, Xunce Technology has partnered with multiple domestic GPU manufacturers to focus on the integration of “computing power and data.” As the localization of the full AI stack enters the stage of systematic engineering optimization, TokenCloud has become a key hub connecting domestic heterogeneous computing power with enterprise AI applications, offering significant strategic value within the ecosystem. Currently, the company has expanded into eleven high-value industries, including finance, telecommunications, power, energy, high-end manufacturing, biomedicine, robotics training, commercial space, urban operations, the low-altitude economy, and smart vehicles. In the first half of 2026, the Token business model was successfully implemented in high-value scenarios such as biomedicine, energy dispatch, and industrial quality inspection, laying the groundwork for cross-industry replication. The ultimate goal of computing power is not to simply stack chips, but to ensure that every piece of data can be securely and efficiently converted into token value. As AI transitions from the “model competition” phase to the “deployment competition” phase, enterprises need not isolated computing power or isolated models, but rather an integrated infrastructure capable of combining computing power, data, and models to truly adapt to enterprise business scenarios. Positioned as an integrated AI infrastructure, TokenCloud enables computing power to serve models, models to serve scenarios, and scenarios to generate value, thereby laying a solid computing power foundation for the AI transformation of China’s myriad industries.
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