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@ 2020/01/17Amongst the many showcases at CES 2020 was Ambarella’s newest demo line-up showcasing various solutions using the CV2, CV22 and also demonstrating new platforms based on the newly announced CV2FS and CV22FS automotive camera SoCs.
For readers unfamiliar with Ambarella, the company came to be known through its success in providing the silicon inside solid state handheld camcorders as well as sports cameras such as the GoPro Hero line. Over the years the company has shifted its product towards more specialized use-cases, now claiming to be a top vendor in vision solutions and also leading the charge in terms of delivering solutions for automotive platforms.
Continued Success with CV2 and CV22
The CV2 and CV22 solutions were announced at last year’s CES and continue to represent key solutions and offerings for the company for 2020. Amongst the more interesting demos they showcased this year was a direct comparison against a competitor solution demonstrating performance and power efficiency advantages of the CV2 platform:
The CV2 development board here was put up against a Nvidia AGX running an object detection workload. Both platforms showcased similar performance in holding 60fps (~13.2ms for the AGX vs 16.9ms for the CV2 in terms of inference time), although with the Nvidia platform using 32W of power versus only 6.9W for the CV2 demo. We had a look at the AGX last year and found for similar inferencing workloads using Nvidia’s demonstration software to be around 13-16W in power consumption, so it’s possible Ambarella’s demo implementation wasn’t using the AGX to its most efficient potential.
For readers unfamiliar with Ambarella, the company came to be known through its success in providing the silicon inside solid state handheld camcorders as well as sports cameras such as the GoPro Hero line. Over the years the company has shifted its product towards more specialized use-cases, now claiming to be a top vendor in vision solutions and also leading the charge in terms of delivering solutions for automotive platforms.
Continued Success with CV2 and CV22
The CV2 and CV22 solutions were announced at last year’s CES and continue to represent key solutions and offerings for the company for 2020. Amongst the more interesting demos they showcased this year was a direct comparison against a competitor solution demonstrating performance and power efficiency advantages of the CV2 platform:
The CV2 development board here was put up against a Nvidia AGX running an object detection workload. Both platforms showcased similar performance in holding 60fps (~13.2ms for the AGX vs 16.9ms for the CV2 in terms of inference time), although with the Nvidia platform using 32W of power versus only 6.9W for the CV2 demo. We had a look at the AGX last year and found for similar inferencing workloads using Nvidia’s demonstration software to be around 13-16W in power consumption, so it’s possible Ambarella’s demo implementation wasn’t using the AGX to its most efficient potential.
