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
- SHA-256 Secure Hash Algorithm IP Core
- EdDSA Curve25519 signature generation engine
- DeWarp IP
- 6-bit, 12 GSPS Flash ADC - GlobalFoundries 22nm
- LunaNet AFS LDPC Encoder and Decoder IP Core
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
- Deep Robotics and Arm Power the Future of Autonomous Mobility
Latest Blogs
- Area, Pipelining, Integration: A Comparison of SHA-2 and SHA-3 for embedded Systems.
- Why Your Next Smartphone Needs Micro-Cooling
- Teaching AI Agents to Speak Hardware
- SOCAMM: Modernizing Data Center Memory with LPDDR6/5X
- Bridging the Gap: Why eFPGA Integration is a Managed Reality, Not a Schedule Risk