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The CXL 3.1 Switch by Panmnesia is a high-tech solution designed to manage diverse CXL devices within a cache-coherent system, minimizing latency through its proprietary low-latency CXL IP. This switch supports a scalable and flexible architecture, offering multi-level switching and port-based routing capabilities that allow expansive system configurations to meet various application demands. It is engineered to connect system devices such as CPUs, GPUs, and memory modules, ideal for constructing large-scale systems tailored to specific needs.
The CXL-Based GPU Memory Expansion Kit from Panmnesia harnesses Compute Express Link technology to boost GPU memory capacity. It achieves cost-efficiency by replacing the need for multiple GPUs with memory expanders, offering substantial internal memory expansion capabilities. This innovative solution enhances AI infrastructure by providing vast memory expansion without added computational resources, significantly decreasing infrastructure costs while maintaining optimal performance.
The PanAccelerator is Panmnesia's AI accelerator featuring an innovative CXL-enabled design that facilitates rapid scaling of AI services. It offers hardware acceleration through flexible memory resources composability, enabled by CXL technology. The accelerator's design allows for quick adaptation to evolving compute requirements by efficiently disaggregating compute and memory resources. Equipped with a robust compute unit optimized for parallel vector and tensor operations, PanAccelerator ensures the cost-effective deployment of large-scale AI services without sacrificing performance.
The CXL 3.1 Controller from Panmnesia stands out for its groundbreaking sub-two digit nanosecond latency, facilitating efficient memory expansion across various server types. The controller's streamlined operations significantly reduce the latency compared to conventional methods, proving advantageous for AI services that require rapid data access and processing. Its capacity to link multiple devices in a unified memory space makes it essential for expansive cloud computing and AI applications.
Panmnesia's CXL Controller is pivotal in memory expansion, delivering low-latency access to integrated memory spaces and supporting a multitude of devices including CPUs, switches, and memory expanders. Noteworthy for its two-digit nanosecond round-trip latency, this controller is optimized for high performance, allowing efficient processing and management of memory resources through automated hardware operations. The system's flexibility in handling diverse devices makes it invaluable for large-scale, cost-effective AI and cloud computing applications.
Panmnesia's CXL-GPU Solution redefines GPU memory expansion through its innovative use of CXL technology, allowing significant memory enhancements for GPUs, crucial for AI applications. By integrating CXL controllers, this solution combines memory and computational resources effectively, minimizing latency and overhead. Its design supports vast memory pools, enabling GPUs to handle larger datasets with improved efficiency, key for large-scale AI services.
PanSoC by Panmnesia is an advanced CXL infrastructure designed for hyperscalers, incorporating CPU-to-device and memory interconnects through high-performance CXL switches. This system-on-chip enables a highly scalable network with intelligent near-data processing units to manage complex data streams efficiently. PanSoC provides a versatile platform for integrating processors, accelerators, and memory within large-scale data centers.
Panmnesia's CXL 3.1 Composable Server is tailored for High-Performance Computing and AI infrastructures, leveraging the CXL 3.1 Switch to integrate disaggregated CPU, GPU, and memory resources into a cohesive system. This server's architecture allows users to dynamically configure resources based on workload demands, optimizing both resource utilization and cost-efficiency, proving essential for scalable AI and HPC environments.
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