Hey, here are some of the note worthy news on Edge AI you won't want to miss:
- Supermicro
has introduced a new high-density server specifically designed for AI applications at the network edge. This 3U server, dubbed the SYS-322GB-NR, boasts impressive specs, packing two powerful Intel Xeon processors with P-cores and up to 20 PCIe 5.0 expansion slots. This allows for superior processing power and flexibility to accommodate a variety of single or double-width GPUs or other high-performance add-on cards for Edge AI workloads. The system also features support for up to 6TB of memory and a healthy amount of storage options, making it a well-rounded solution for running powerful AI inference models directly on-site. This innovative server design by Supermicro highlights the growing need for powerful yet compact computing solutions to handle complex AI tasks at the edge of the network.
- Xsight Labs
unveiled their latest innovation - the X2 programmable SDN (Software-Defined Networking) Ethernet switch. Designed specifically for hyperscale data centers and edge deployments, the X2 boasts a powerful monolithic 5nm die that delivers a whopping 12.8 Terabits per second (Tbps) of throughput. This powerhouse switch utilizes a programmable packet processor and Xsight's X-PNDTM engine for flexible resource allocation, enabling efficient data flow optimization and improved network performance for AI workloads. Additionally, the X2 supports cutting-edge features like congestion-aware routing, fast link recovery, and UEC (Ultra Ethernet Consortium) compliance, ensuring reliable and efficient network operations. This advancement in programmable Ethernet switches highlights the growing importance of intelligent network infrastructure to manage the ever-increasing demands of Edge AI deployments.
- Vapor IO
and NVIDIA
have joined forces to launch an AI-driven 5G edge deployment in Las Vegas. This project utilizes Vapor IO's Kinetic Edge platform, a distributed edge computing infrastructure, equipped with NVIDIA's powerful GPUs. This combination allows for real-time processing of data collected from various sources across the city, such as smart traffic cameras and environmental sensors. The processed data will be used for applications like intelligent traffic management, optimized public safety measures, and environmental monitoring. This Las Vegas project showcases the power of Edge AI to analyze data locally at the network edge, enabling faster decision-making and improved efficiency for smart city initiatives.
This newsletter focuses on the technological advancements and innovations that can affect Edge AI engineers, hands-on developers and decision makers. There are more exciting Edge AI news on the horizon, stay tuned for the weekly reports.
