**Grey Aliens and Disc UFO in the Dark Forest** Two grey aliens stand near a landed metallic disc UFO in a misty forest at night. The eerie scene suggests a crash or landing event. Real alien encounter in the woods or creepy hoax? **What do you think?** #GreyAliens# #ForestUFO# #DiscLanding# #AlienCrash# #NightSighting# #UFOFootage# #PlanetSecrets#

🌐 Microsoft brought 11 papers to NSDI 2026, the frontier of large-scale networked systems. This digest spans concrete advances for AI infrastructure: 4x throughput from KV-cache reuse, 3.2x over RDMA with CXL memory, and more. Title: Microsoft at NSDI 2026: Advances in large-scale networked systems URL: 📝 Overview NSDI is a leading venue for sharing new research on the design and operation of cloud, AI, and distributed application infrastructure. This post highlights Microsoft's 11 accepted papers spanning datacenter networks, wide-area networking, AI systems, and cloud infrastructure. ❓ Challenges Solved As AI workloads surge, scaling datacenter network, memory, and CPU resources while preserving reliability and cost efficiency keeps getting harder. The papers tackle that frontier from both production operation and research angles. 💡 Key Research Contributions ・DroidSpeak reuses KV caches across same-architecture language model variants for up to 4x throughput with minimal impact on output quality ・SONiC DASH SmartSwitch redesigns cloud network offloading and is deployed at scale in Azure, significantly improving power and space efficiency (community award winner) ・Octopus, a CXL disaggregated memory pod, achieves RPCs 3.2x faster than in-rack RDMA and 2.4x faster than CXL switches on three-server prototypes ・HarvestContainers dynamically harvests cores from latency-sensitive containers, using up to 75% of spare CPU while keeping tail latency within 4% of standalone 🎯 Use Cases It informs design decisions for faster LLM serving, memory disaggregation, container resource utilization, and network-protocol verification across cloud and AI infrastructure. 📊 Other Results ・Eywa used LLM-based model generation to find 33 bugs (16 previously unknown) in protocol implementations ・ForestColl generates theoretically optimal collective-communication schedules in polynomial time ・AVA is a video-analytics benchmark reaching 75.8% accuracy on 10+ hour videos ・KRAKENGUARD provides fine-grained eBPF isolation for multi-tenant security #NetworkedSystems# #AIInfrastructure#