The use of hardware acceleration in a DPU to offload processing-intensive tasks can greatly reduce power use, resulting in more efficient data center.
The data processing unit (DPU) is a relatively new technology that offloads processing-intensive tasks from the CPU onto a separate 'card' in the server. I put 'card' in quotes as that's the form factor but in reality, a DPU is a mini server on board that's highly optimized for network, storage, and management tasks. A general CPU on board a server was never designed for these types of intensive data center workloads and can often bog down a server.
A good analogy is to consider the role of a GPU. They handle all the graphics- and math-intensive tasks, enabling the CPU to handle the types of tasks it was designed to. A DPU plays a similar role with data center tasks. Despite the strong value proposition, there are still many skeptics of DPUs, primarily because they use more power than a regular network card, but that shows a lack of understanding of workloads.
International Data Corporation (IDC) has announced its Future of Connectedness predictions for 2023 and beyond.
The transition to hybrid work and more distributed workforces has created greater expectations from employees, customers, and partners for seamless anytime anywhere digital interactions to mission-critical systems and processes.
As businesses look ahead to 2023 and beyond, they will face added stressors - economic uncertainty, regional conflicts, supply chain constraints, and a shortage of workers and staffing. While these challenges will play a role in key decisions, IDC data shows that 81% of organizations are still prioritizing connectivity programs. Companies are expected to continue leveraging investments to automate key processes, transform workplaces, improve customer experiences, and increase corporate resiliency.
Solidigm presented a detailed look of its near-term SSD roadmap at the Tech Field Day 2022 event, and tucked away in the portfolio is a 61TB drive.
There are actually two drives on the way, both built with Solidigm's fourth-generation 192-layer QLC (4bits/cell) 3D NAND, and called Essential Endurance and Value Endurance. The Essential Endurance variant has a 4KB block size and 3.84, 7.68, 15.36, and 30.72TB capacities, and a maximum 32PB written (PBW) endurance. The Value Endurance has a 16KB block size and capacities of 7.68, 15.36, 30.72, and 61.44TB with a doubled maximum endurance of about circa 65PBW.
See all Archived IT News - Technology articles
See all articles from this issue
|
