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
- JESD204E Controller IP
- eUSB2V2.0 Controller + PHY IP
- I/O Library with LVDS in SkyWater 90nm
- 50G PON LDPC Encoder/Decoder
- UALink Controller
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
- The Growing Importance of PVT Monitoring for Silicon Lifecycle Management
Latest Blogs
- UCIe D2D Adapter Explained: Architecture, Flit Mapping, Reliability, and Protocol Multiplexing
- RT-Europa: The Foundation for RISC-V Automotive Real-Time Computing
- Arm Flexible Access broadens its scope to help more companies build silicon faster
- Embedded Security explained: IPsec and IKEv2 for embedded Systems
- Deploying StrongSwan on an Embedded FPGA Platform, IPsec/IKEv2 on Arty Z7 with PetaLinux and PQC