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?
Related Semiconductor IP
- AES GCM IP Core
- High Speed Ethernet Quad 10G to 100G PCS
- High Speed Ethernet Gen-2 Quad 100G PCS IP
- High Speed Ethernet 4/2/1-Lane 100G PCS
- High Speed Ethernet 2/4/8-Lane 200G/400G PCS
Related Blogs
- Synopsys Cloud: The Power of Automated License Management
- Windows on Arm is Ready for Prime Time: Native Chrome Caps Momentum for the Future of Laptop Computing
- Unleashing the Power of Communication: Exploring the XSPI Protocol and Arasan Chip Systems' XSPI IP Portfolio
- FPGA Insights and Trends 2023: Unleashing the Power of FPGA
Latest Blogs
- Why Choose Hard IP for Embedded FPGA in Aerospace and Defense Applications
- Migrating the CPU IP Development from MIPS to RISC-V Instruction Set Architecture
- Quintauris: Accelerating RISC-V Innovation for next-gen Hardware
- Say Goodbye to Limits and Hello to Freedom of Scalability in the MIPS P8700
- Why is Hard IP a Better Solution for Embedded FPGA (eFPGA) Technology?