The WWT blog begins with a short case study:
“A mid-size manufacturer needed to add cybersecurity and network monitoring workloads to its general-purpose data center, creating a spike in demand for compute power. Deploying a mainstream network interface card would have resulted in critical (and costly) packet loss and degraded performance.
“The better solution: an… Intel FPGA PAC, customized for the cybersecurity workload at hand. Adding the PAC card relieved the server CPU of the heaviest compute tasks, freeing up processing resources for essential business applications and services.”
The blog then notes that several technologies from Intel and from members of the Intel Partner Program contribute to making it easier than ever to employ Intel® FPGAs in Intel FPGA PACs for data center workload acceleration:
“New Intel FGPA technologies offer fast deployment and standardization through Intel PACs and the Intel® Acceleration Stack. Independent solution vendors have pre-designed FPGA accelerator solutions that seamlessly integrate into shared libraries, software frameworks and custom software applications.”
The blog then summarizes the benefits gained by using Intel FPGA technology in the data center:
“In a ‘suitability matrix’ of accelerator choices, FPGAs are a stand out option, especially when measured against other accelerator options across a range of metrics, including relatively low price, performance per-watt per-volume, ruggedness, security, time to market, increased lifecycle and total cost of ownership (TCO). FPGAs are the only solution in which the hardware can be tailored repeatedly to fit the software exactly.
“In short, FPGAs win in spaces where the workflow is highly dynamic and flexible, where power consumption must be minimized, low latency is a priority or the accelerator must function independently from the CPU.”
Finally, the WWT blog discusses three different case studies for Intel FPGA PAC use in the data center:
- Edge to Core – When you need a flexible, hardened edge solution
- Supercomputing – Overcoming power and cooling demands
- In-store image recognition analytics
These case studies lead to a concise conclusion in the WWT blog:
“…WWT finds that FPGAs are often the superior choice over GPUs and ASICs for compute and data acceleration.”
For more information, be sure to read the WWT blog: FPGAs Emerge as the Flexible Acceleration Choice.
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