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The Link Acceleration Unit (LAU) from Panmnesia is a specialized hardware block designed to enhance end-to-end communication processes. Particularly beneficial for various device types, it significantly accelerates device-specific interactions across the CXL network, promising quick market entry for hardware designs such as memory expanders, accelerators, and CPUs. This unit offers hardware-managed cache coherency, minimizing the need for software intervention and supporting diverse devices with features like back invalidation. The LAU is optimized to reduce latency and enhance real-time execution, crucial for latency-sensitive workloads that demand immediate responsiveness. With best-in-class efficiency regarding latency and power consumption, the LAU boasts an architecture tailored for high-performance and power-constrained designs. It supports multiple protocols and devices, highlighting its capacity to manage high bandwidth and intricate processes intrinsic to advanced AI training infrastructures and scalable enterprise environments.
Panmnesia's Controller IP delivers high-speed link capabilities necessary for modern AI and cloud-based infrastructures. With a focus on reducing latency and optimizing power consumption, the Controller IP is engineered to ensure compatibility with the CXL 3.2 standard. Its architecture offers less than 100ns roundtrip latency, introducing a significant performance upgrade suitable for high-demand environments. Fully compliant with CXL 3.2, the Controller IP supports multiple sub-protocols including CXL.io, CXL.mem, and CXL.cache, facilitating broad compatibility across various device types like memory expanders and accelerators. This versatility makes it ideal for AI training systems and data center expansions, where flexible device connectivity and efficient memory disaggregation are paramount. Special features such as unordered IO support and bifurcation support for varying configurations enhance its capability to manage high-throughput data exchange efficiently. The Controller IP is a key component for leveraging high-speed links in computing environments that require robust performance and energy efficiency.
The PCIe 6.4/CXL 3.2 Fabric Switch by Panmnesia represents a cutting-edge solution in the realm of high-speed communication fabrics. This pioneering switch is the first in the industry to fully implement the CXL 3.2 standard, featuring port-based routing (PBR) capabilities. It is specifically designed to support robust communication networks, essential for today's advanced AI infrastructures. The switch's architecture is meticulously crafted to ensure that it can handle the demanding requirements of modern AI and computing environments. It integrates seamlessly with Panmnesia's broader technology stack, which includes silicon IP and hardware components that form a comprehensive solution from end-to-end. The switch facilitates low-latency data transfer, crucial for applications requiring rapid data access and minimal bottlenecks, such as AI training environments and data centers. By reducing the complexities associated with traditional infrastructure setups, this Fabric Switch enables more efficient scaling and resource allocation. Its sophisticated design supports the achievement of high throughput and scalability, critical in large-scale deployments where efficient resource utilization is key.
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