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Tag CloudComputing

Edge vs. Cloud: Where Should B5G AI/ML Models Retrain?

Retraining at the edge reduces latency but limits computational power; retraining in the cloud offers scalability but increases propagation delay. Our predictive approach balances both, ensuring minimal SLA violations while optimizing resource use. 🌟 Follow us on LinkedIn! Check…

GVirtuS gets a major boost with RDMA! 

We’re excited to present a breakthrough from the CLEVER Project: a novel RDMA over InfiniBand Communicator that significantly accelerates GPGPU virtualization using GVirtuS — enabling smarter, faster, and more efficient AI workloads across remote GPUs ⚡🧠  Traditional TCP/IP-based GPU virtualization…