The CLEVER Project presents a novel way to embed AI into programmable data planes — with zero arithmetic logic, zero stateful memory, and zero loss in performance. 🔍 Our latest innovation introduces a lookup table distillation technique that transforms complex…
The CLEVER Project is tackling one of the most critical questions in AI for distributed environments: how do we make machine learning resilient when data comes from a wide range of sources—with varying levels of trust? 📍 Presented at the…
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 ⚡🧠 🔍 Why this matters: Traditional…
We’re thrilled to share our latest breakthrough from the CLEVER Project — showcased at #OFC2024! Our research introduces Data Processing Units (DPUs) with embedded GPUs as a game-changing solution for programmable, high-performance optical metro/edge networks. 🌍✨ These powerful DPUs, integrated…
CLEVER integrates P4-based programmable switches and smart NICs (DPUs) to revolutionize network security within the cloud-edge continuum. By leveraging hardware-accelerated technologies, CLEVER tackles modern challenges like DDoS attack mitigation and vulnerability detection with unmatched efficiency. Key Highlights 🔑 CLEVER’s innovations…
📣 We’re proud to share another major step forward in the CLEVER Project—our latest public deliverable is now available on Zenodo! 📘 What’s it about? This document presents concrete use case scenarios and initial Key Performance Indicators (KPIs) that guide the…
At the heart of CLEVER lies a seamless, automated orchestration framework that connects computing and storage resources across the cloud-edge continuum. With a layered middleware architecture, CLEVER ensures smart service deployment and optimized resource utilization. 🔑 How Does It Work? …
✨ Predicting the Future of Resource Allocation ✨ In the CLEVER Project, we’re transforming how edge computing platforms handle resource management by integrating cutting-edge AI/ML models for proactive resource forecasting. Imagine a world where your applications—from autonomous vehicles to augmented…
🚀 We’re excited to announce the release of our latest technical deliverable under the CLEVER Project—now available on Zenodo! 🔗 📌 What’s inside? This document outlines the core software architecture and initial integration of CLEVER’s AI-based service orchestration platform across…
The Local Workload Placement component in the CLEVER platform introduces an ML-based scoring mechanism into Kubernetes’ scheduling pipeline, optimizing workload placement on worker nodes to meet platform objectives like energy efficiency, scalability and flexibility. Key Features and Workflow: Development Progress: …
