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范式智能发布Phanthy Cloud 以"智能即服务"重塑企业AI底座
Ge Long Hui· 2026-01-26 03:30
Core Insights - The article highlights the shift in enterprise demand for cloud services from resource elasticity to intelligent, secure, and scenario-based capabilities, marking a new phase in cloud services with the introduction of Phanthy Cloud by Fan Shi Intelligence [1][9]. Group 1: Product Overview - Phanthy Cloud represents a comprehensive cloud solution that integrates AI engineering, industry modeling, and computing resource scheduling, addressing the urgent market need for quickly deployable and continuously evolving intelligent cloud platforms [3]. - The platform features a three-layer architecture: cloud layer, computing layer, and capability layer, providing a full-stack solution from resource management to intelligent application [5]. Group 2: Cloud Layer - The cloud layer of Phanthy Cloud supports seamless compatibility with public, private, and hybrid deployment models, ensuring scalability while meeting the security and compliance requirements of government and enterprise clients [5]. Group 3: Computing Layer - The computing layer incorporates a high-performance heterogeneous vGPU scheduling engine, supported by the global active computing management community HAMi, enhancing resource utilization and delivery efficiency in multi-team and multi-task scenarios [5]. Group 4: Capability Layer - The capability layer integrates three core pillars: 1. Model Ecosystem: Addresses challenges in domestic replacement by connecting to a leading community of certified models, rapidly increasing from 0 to over 10,000 models in three months [6]. 2. Engineering Platform: Utilizes the industry-leading AI development platform, enabling enterprises to develop, deploy, evaluate, and govern models autonomously [7]. 3. Vertical World Models: Transforms industry knowledge and high-quality data into reusable model assets, allowing AI to perform precise reasoning and optimization in complex decision-making scenarios [8]. Group 5: Future Outlook - The launch of Phanthy Cloud signifies a critical step towards the era of "AI-as-a-Service," focusing on building usable, trustworthy, and evolvable enterprise-level intelligent systems [9][10].
范式智能(06682)发布Phanthy Cloud 以“智能即服务”重塑企业AI底座
智通财经网· 2026-01-26 03:25
Core Insights - The article highlights the shift in enterprise demand for cloud services from resource elasticity to intelligent, secure, and scenario-based capabilities, marking a new phase in cloud services with the introduction of Phanthy Cloud by Paradigm Intelligence [1][8] Group 1: Product Overview - Phanthy Cloud represents a comprehensive cloud solution that integrates AI engineering, industry modeling, and resource scheduling, addressing the urgent market need for quickly deployable and continuously evolving intelligent cloud platforms [3] - The platform features a three-layer architecture: cloud layer, computing power layer, and capability layer, providing a full-stack solution from resource management to intelligent application [5] Group 2: Technical Features - The cloud layer supports seamless compatibility with public, private, and hybrid deployment models, ensuring security and compliance for enterprise clients while maintaining elasticity [5] - The computing power layer incorporates a high-performance heterogeneous vGPU scheduling engine, enhancing resource utilization and delivery efficiency in multi-team and fluctuating load scenarios [5] - The capability layer integrates Paradigm's decade-long AI core competencies, including a model ecosystem that addresses common challenges in domestic replacement processes, significantly reducing selection and integration cycles for enterprises [6][7] Group 3: Strategic Positioning - Phanthy Cloud aims to transform intelligent capabilities into a new type of enterprise infrastructure, focusing on building usable, trustworthy, and evolvable enterprise-level intelligent systems [8] - The platform's release is a critical step for Paradigm Intelligence in enabling businesses to construct their own AI capability stacks with lower barriers, higher efficiency, and more robust pathways [8]