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Activision Accelerates Game Development with NVIDIA vGPU
NVIDIA· 2025-08-13 16:20
Infrastructure & Scalability - Requires diligence and proof of concept phases before deployment to address scaling issues in development and technology [1] - Needs improvement and scaling of backend testing to meet end-user expectations [1] - GPU acceleration is a growing need for teams to provide better testing coverage [2] - NVIDIA vGPU solution is considered the best option for addressing GPU needs in the market [2] Efficiency & Cost Savings - Infrastructure improvements enable faster validation for level design, UI, and textures [3] - Significant improvements in power draw efficiency translate to data center savings [3] - New infrastructure facilitates easier management of more devices within the CICD system [3] Business Impact - Central Technology team's efforts are focused on supporting game studios [4] - Improved infrastructure contributes to meeting user needs more effectively [4]
Activision Accelerates Game Development with NVIDIA vGPU
NVIDIA· 2025-08-11 17:47
Infrastructure & Scalability - Requires rigorous diligence and proof of concept phases before deployment [1] - Faces scalability challenges across the technology stack to meet end-user expectations [1] - Needs to improve backend testing to support scalability [1] - Sees GPU-accelerated workloads as increasingly important for comprehensive testing coverage [2] - Considers NVIDIA VGP solution as the optimal choice for addressing GPU needs [2] Efficiency & Cost Savings - Infrastructure improvements accelerate validation for level design, UI, and texture work [3] - Observes significant power draw efficiency gains, translating to data center savings [3] Management & User Needs - New infrastructure simplifies management of a growing number of devices [4] - Enhanced ability to meet user needs [4] - Central technology team focuses on supporting game studios [4]
行业简报:算力调度平台规模化发展-Deepseek带动算力需求井喷,算力调度平台成最优解
Tou Bao Yan Jiu Yuan· 2025-06-06 12:33
Investment Rating - The report indicates a positive investment outlook for the computing power scheduling platform industry, driven by the rapid growth in AI model applications and the increasing demand for high-performance computing resources [10][14]. Core Insights - The demand for intelligent computing power in China is experiencing unprecedented growth, particularly in large model applications, which account for nearly 60% of the demand, highlighting the significant potential of the future computing power market [14][30]. - The profitability of computing power scheduling centers heavily relies on government subsidies, which are designed to ensure local resource utilization and risk control. Successful engagement with government decision-making is crucial for companies to secure these subsidies [22][30]. - The core value of computing power scheduling platforms lies in their ability to efficiently integrate and schedule heterogeneous computing resources, significantly improving resource utilization and reducing costs for users [17][20]. Summary by Sections Computing Power Scheduling Platform's Scaling Path - The rapid growth of intelligent computing demand in China is driven by AI large models, leading to accelerated development of large-scale, high-performance computing centers [11][10]. - The profitability of computing power scheduling centers is highly dependent on government subsidies, which aim to ensure local resource utilization and risk management [22][30]. - Platforms must possess efficient integration and scheduling capabilities for heterogeneous computing resources to achieve low-cost, scalable, and marketable monetization [31][39]. Value of Computing Power Scheduling Platforms - The platforms enhance resource utilization, lower user costs, and simplify management processes, providing efficient and convenient computing power services [17][20]. - The core technologies required include resource virtualization, fine-grained slicing, real-time monitoring, and tidal scheduling, which enable low-cost and efficient utilization of resources [31][38]. Government Subsidies as Core Source - Government subsidies are essential for the profitability of computing power scheduling centers, with a structured mechanism to ensure local resource utilization and risk control [22][30]. - Companies must strategically engage early in government decision-making to influence standards and secure contracts [23][30]. Technical Features of Quality Computing Power Scheduling Platforms - Platforms need to have capabilities for fine-grained resource slicing, heterogeneous compatibility, cross-regional scheduling, real-time monitoring, and dynamic scheduling to achieve efficient resource reuse and low-cost monetization [31][38]. Core of Scaling Computing Power Centers - The core of monetizing the value of computing power platforms lies in a large and diverse customer base, which determines profitability speed and pricing potential [39][42]. - A diverse customer base allows for tiered pricing strategies to maximize revenue, while partnerships can help focus on high-margin computing power sales [42][39].