Accelerated Networks for Modern Workloads

Join industry security experts to learn about the evolution of network security and the need for a zero-trust approach. Hybrid work demands enterprises to reevaluate and deliver security innovations for our workplace, workforce, and workload regardless of where workers and apps reside. As security workloads transition from centralized appliances at the edge to virtualized instances running on every server in the data center and cloud, powerful programmable processors are becoming essential. With the latest trends in AI, machine learning, 5G, and the internet of things, data center architects are being challenged to meet the increasing demands for scale and accelerated performance, while maintaining and innovating security at the highest level, despite an evolving threat landscape. We'll discuss the challenges of existing approaches and share techniques and strategies for a new way to offload, accelerate, and isolate security.

Convergence of HPC and AI is bringing dramatic acceleration to every kind of simulation and advancing fields across science and industry. With Azure’s exceptional AI supercomputing capabilities, and providing best-in-class scalable performance for MPI-based workloads, Azure is taking the next transformational leap for scientific computing performance with the additional acceleration capabilities of the NVIDIA BlueField data processing unit (DPU). We'll provide an overview of the Azure HPC+AI platform, reviewing recent accomplishments, including details of how the Azure HPC+AI portfolio supports additional DPU accelerator capabilities.

Computing is advancing at incredible speed, and cloud computing is becoming the norm for nearly every enterprise. Cloud computing allows companies to deploy applications faster, reduce operating costs, and rapidly scale resources to meet growing demand. However, not all clouds are created equal. Modern applications increasingly rely on accelerated computing as the underlying technology to deliver on the promise of machine learning and artificial intelligence. We'll discuss how organizations can build cloud computing infrastructures that are accelerated, efficient, and secure to power the next wave of applications.