“Training a large model costs tens of millions of dollars in computing power,” “GPU server prices have doubled and are still hard to obtain,” “Half of the GPUs in the cluster are idle and cannot be scheduled”—this is the most genuine computing power anxiety in the current AI industry. As the industry struggles with computing … Read more
“Training a large model costs tens of millions of dollars in computing power,” “GPU server prices have doubled and are still hard to obtain,” “Half of the GPUs in the cluster are idle but cannot be scheduled”—this reflects the most genuine computing power anxiety in the current AI industry. As the industry struggles with computing … Read more
[Image][Image]Editor’s Note: With the rapid development of artificial intelligence, big data analytics, and high-performance computing technologies, the efficient utilization of GPU resources has become a focal point for enterprises. As a key technology, GPU virtualization can significantly improve resource utilization, reduce hardware costs, and provide flexible resource scheduling capabilities. This article analyzes various GPU virtualization … Read more
—————Table of Contents—————–1. Product Release Date2. Supported GPU Models3. Implementation Methods4. Technical Advantages and Disadvantages5. Core Functional Features6. Application Scenarios7. Deployment Forms8. Customer Cases9. Maintenance Support and Community Activity 10. Pricing and Costs 11. User Perspective Summary: Why Choose OrionX? 12. Comparison Recommendations 13. Future Outlook —————Content————— 1. Product Release Date Product Release Date User … Read more
With the popularity of cloud computing and artificial intelligence applications, GPU virtualization technology plays an increasingly important role in improving hardware utilization and reducing costs.NVIDIA vGPU technology allows multiple virtual machines (VMs) to share a single physical GPU, enabling flexible resource allocation and high-performance computing support.This article systematically analyzes the software architecture, implementation details, and … Read more
With the rapid development of intelligent connected vehicles (ICV), the electronic and electrical architecture of automobiles is undergoing profound changes, and operating system virtualization technology has become a core means to achieve cross-domain integration. This article systematically explores the design principles and key technological implementations of automotive operating system virtualization architecture, including CPU, memory, interrupt, … Read more
Background InformationThis document is a transcript of an episode of the “Light Cone” podcast, focusing on the application of artificial intelligence (AI) in programming, specifically highlighting the development journey of Windsurf and the entrepreneurial story of its CEO and co-founder, Verun. The interview delves into how Windsurf transitioned from a GPU virtualization company to an … Read more
1. Hardware Isolation of Nvidia MIG: From Architectural Design to Engineering Compromise MIG implements 7 independent instances in A100/H100, each exclusively occupying32-512 SM units, 1.8-24GB of VRAM, and independent L2 cache slices. Hardware-level isolation is achieved throughinstance ID tags: the instruction queue, register file, and memory controller access of each SM carry the instance ID, … Read more
This article summarizes the current implementation of the GPU passthrough solution on the 360 cloud platform and the verification of the container + MIG solution. 1. Background As a key strategic goal of 360 Company, AI large models rely heavily on GPU cards, which are also considered strategic resources. If physical machines are directly allocated … Read more