Test your workload performance with combinations of CPUs, GPUs, and accelerators in bare metal and cloud-native container architectures to identify the hardware platform that works best for your inferencing solutions.
"Collaborating with Intel's team and harnessing the OpenVINO™ toolkit, we unlocked the potential of hardware-specific fine-tuning for accelerated inference. The guidance provided by Intel's engineering support was invaluable. Their expert guidance in model optimization, fidelity assurance in inference, Intel® Developer Cloud for the Edge driven performance evaluations, and the provision of an illuminating instructional video truly set them apart. Yet, the true standout was Intel Developer Cloud for the Edge, allowing us to effortlessly identify the optimal Intel hardware configuration. By deploying our model across various hardware setups without hardware purchases, we conserved valuable time and resources. The maritime sector has greatly benefited from Docker* Vision's partnership with Intel, as we harness their enhancement prowess to unlock unparalleled advantages. Together, we're revolutionizing the maritime industry with real-time insights and maximized benefits."
— Athira M, cofounder and chief technology officer (CTO)
"Through rigorous testing and evaluation, we had the privilege of exploring various CPU options available on Intel® Developer Cloud for the Edge. However, it was the Intel® Xeon® Platinum 8272CL CPU at 2.60 GHz that stood out as the most suitable and optimal choice for our AI workloads. The performance delivered by this CPU exceeded our expectations, meeting the demanding requirements of our applications with utmost efficiency and reliability. The scalability and robustness of this hardware platform have significantly enhanced our productivity, enabling us to achieve unprecedented levels of performance and accuracy in our projects.
"Furthermore, we would like to acknowledge the excellent support and guidance provided by the Intel Developer Cloud for the Edge team throughout our testing phase. Their expertise and responsiveness were instrumental in helping us navigate the platform and make informed decisions about the hardware configuration that would best suit our requirements.
"In conclusion, the unparalleled capability of Intel Developer Cloud for the Edge to facilitate experimentation with diverse CPUs, combined with the remarkable performance and unwavering support we encountered, renders Intel Developer Cloud for the Edge an indispensable asset for our AI initiatives. Thank you once again to the Intel Developer Cloud for the Edge for providing us with such an exceptional platform and helping us optimize our AI workloads. We look forward to continuing our partnership and exploring further opportunities for collaboration in the future."
"The Intel® Developer Cloud for the Edge container playground has been instrumental in facilitating our partnership with Intel for the successful implementation of edge AI applications, particularly in our Numberplate detection and recognition use case. Through the utilization of this platform, we have been able to execute our application on multiple hardware platforms and conduct performance comparisons, all without the requirement of physical hardware. This powerful tool has been a game-changer, facilitating informed decisions and delivering outstanding results.
"The virtualized environment offered by the container playground has furnished us with invaluable insights into inference times, thereby enabling us to optimize our application with great efficiency. Undoubtedly, it has become an indispensable tool within our edge AI development workflow, empowering us to make well-informed decisions and attain superior outcomes. This paradigm-shifting solution streamlines the development process with unparalleled efficacy, enabling users to achieve unparalleled results."
"Am pleased to highlight the exceptional support and expertise we received from the Intel® Developer Cloud for the Edge engineering team. Their invaluable contributions played a crucial role in successfully migrating our AI workload to Intel hardware. The team's prompt and informative responses were instrumental in ensuring a seamless transition during the migration process. Moreover, their utilization of OpenVINO™ optimizations (quantization and async inferencing) significantly enhanced the performance of our AI models beyond our expectations. We observed a remarkable improvement in inference throughput, increasing from 8 FPS to an impressive 54 FPS. The availability of the Intel Developer Cloud for the Edge proved to be a tremendous asset, allowing us to test our models effortlessly on multiple Intel hardware platforms. The Intel engineering team's demos and unwavering support on the Intel Developer Cloud for the Edge made it easy for us to finalize the i9-13900te - UHD770 as the optimal hardware solution.
"In conclusion, we extend our deepest gratitude to the Intel Developer Cloud for the Edge engineering team for their exceptional support and assistance throughout our AI workload migration. Their expertise, responsiveness, and commitment to delivering outstanding results have made them an invaluable partner in our journey."
"Using the Intel® Developer Cloud allows Luxonis* to iterate on our products seamlessly in the physical world, with real-world experimentation and data collection, as well as in the cloud environment for fast improvement of our neural models and computer vision flow. This results in our customers typically getting their proof of concepts up and running in less than one week and products maturing for market in just a few months. Intel Developer Cloud allows us to evaluate performance without the need of hardware in hand, and can iterate across hardware, software, AI, training iterations, and overall performance easily. Leveraging these kinds of tools, we currently have over 100 customers building products off of our platform, which covers over 20 verticals, including e-mobility, cargo (air and ground), food processing, agriculture (in-field, farming, and ranching), defense, safety systems (in manufacturing, oil/gas, etc.) to name just a few."
— Brandon Gilles, chief executive officer, Luxonis embedded computer vision and AI
"With a high performance medical application like ours, a major share of the AI workloads are carried out by the Intel® Distribution of OpenVINO™ toolkit. As our customers' platforms don't adhere to a single hardware configuration, it is crucial that we assess various hardware platforms in advance so we can verify that the performance falls within our specifications. Intel® Developer Cloud serves this exact purpose and enables us to benchmark our AI workloads on a variety of platforms not found on premise."
— Roee Shibolet, vice president of research and development