While the GPU complements the CPU, it handles complex workloads like supercomputing, AI, machine learning and extensive data analysis where numerical precision is required.
At the same time, companies are constantly searching for more efficient ways to cut costs and improve productivity at the chip level.
The Seattle- and Seoul-based startup says its DPU solution enables data centers to reduce power consumption and optimize performance with cost efficiency and security.
CEO of MangoBoost, Jangwoo Kim, says the company achieved efficiency through more than nine years of R&D about how the DPU technology works for data centers at the Seoul National University laboratory.
A host of companies provides DPU-like technology, including Microsoft FPGA Smart NIC and Amazon Nitro.
He added that one of the key differentiators of MangoBoost’s products is that it provides an extensive and customizable set of DPU features that can meet each customer’s needs.
The original article contains 592 words, the summary contains 146 words. Saved 75%. I'm a bot and I'm open source!
This is the best summary I could come up with:
While the GPU complements the CPU, it handles complex workloads like supercomputing, AI, machine learning and extensive data analysis where numerical precision is required.
At the same time, companies are constantly searching for more efficient ways to cut costs and improve productivity at the chip level.
The Seattle- and Seoul-based startup says its DPU solution enables data centers to reduce power consumption and optimize performance with cost efficiency and security.
CEO of MangoBoost, Jangwoo Kim, says the company achieved efficiency through more than nine years of R&D about how the DPU technology works for data centers at the Seoul National University laboratory.
A host of companies provides DPU-like technology, including Microsoft FPGA Smart NIC and Amazon Nitro.
He added that one of the key differentiators of MangoBoost’s products is that it provides an extensive and customizable set of DPU features that can meet each customer’s needs.
The original article contains 592 words, the summary contains 146 words. Saved 75%. I'm a bot and I'm open source!