Intel® Developer Cloud

AnyVision

"Because we serve customers with so many different needs, it’s important to quickly achieve the right balance of price and performance for each of our applications. Intel Developer Cloud lets us test multiple platforms in parallel. That’s a lot of time savings—and time is money—so it’s a no-brainer."

Eduard Vazquez, research technical manager

Infilect*

"In the absence of a variety of hardware configurations, it is incredibly challenging to evaluate the performance of today’s AI models on CPU-driven edge compute boxes. Intel Developer Cloud hit the nail on the head when it provided us with the access and support needed to benchmark our AI models on CPUs with Intel® Distribution of OpenVINO™ toolkit. Since then, we have been using Intel Distribution of OpenVINO toolkit as a default option on appropriately-sized CPU edge compute boxes for our on-premise customer deployments."

Vijay Gabale, cofounder, leading partnerships, CPO and CTO

Hitachi*

"Because developers can quickly evaluate the performance of their applications in multiple edge computing systems by using Intel Developer Cloud, they can not only shorten the inspection time to go to market, they can also expect tremendous benefits in terms of investment and maintenance in verification equipment. We are confident that Intel Developer Cloud will accelerate and streamline operations and create new value for more IoT businesses and for more customers."

Tomohiro Nagao, senior manager, Healthcare Business Unit

Luxonis*

"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

maxQ*

"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

Neurolabs*

"At Neurolabs, we provide computer vision solutions powered by synthetic data. Our clients expect robust on-premise deployments with fast prediction times. This is where Intel Distribution of OpenVINO toolkit shines, giving us greater flexibility over different hardware configurations and standardizing the model deployment. Intel Developer Cloud enables us to quickly benchmark our models across multiple architectures and determine the best option for our customer use cases."

Patric Fulop, cofounder and chief technology officer