How Standards Are Unleashing the Power of DPUs for Cloud Computing
The slowing of Moore’s Law is driving a new approach to compute as single core performance is flattening out. To handle the increasing demands of data-centric workloads, hyperscalers and modern cloud data centers are looking for a new class of programmable processors that can efficiently process and move data at scale. They also need to support growing deployments of advanced applications – including Generative AI models – that require GPUs, faster networking and distributed storage. Today’s cloud infrastructure is custom built, from SSDs to HDDs, SmartNICs to video accelerators, and the last standardized component, the server CPU, will not cut it as a universal general-purpose processor moving forward. Enter data processing units, aka DPUs.
What is a DPU?
To read the full article, click here
Related Semiconductor IP
- RDMA IP
- PCIe Controller
- USB Controller
- MTP (Multi-Time Programmable) IP
- OTP (One-Time Programmable) IP
Related Blogs
- How Network-on-Chip Architectures Are Powering the Future of Microcontroller Design
- Unleashing the Power of Wi-Fi 7. Multi-Link Operation Configurations Demystified
- CXL 3.1: How Evolving CXL Standards are Pushing Interconnects to Even Higher Performance
- Scaling for Success: How Weebit is Preparing for its Next Phase of Growth
Latest Blogs
- SerDes, Ethernet and the silicon that connects them: Why SerDes for high-bandwidth sensors?
- Beyond NVLink’s Rack: Meta and Panmnesia Bring CXL-Based Tight Coupling to the Whole Datacenter
- AI-Driven Development: Why Verification Matters More Than Ever
- Why schematic-correct designs fail at advanced nodes
- How Agentic AI Turns IC Engineers into Architects