Intel® Developer Cloud offers several configurations that are tuned to various workloads. From AI and inference training to FPGA development to edge prototyping and preproduction deployment, you can use the environment that best matches your business needs.
Learn with hands-on tutorials.
Experiment with real-world code samples.
Evaluate performance and acceleration with multiple hardware configurations.
Build heterogeneous applications.
Develop your own prototype.
Benchmark your own AI workloads with always-on access to the latest AI hardware.
Available Intel Hardware
Test and evaluate your application on a variety of virtual machines, bare metal systems, edge devices, and platforms designed for AI training.
Available Development & Run Environments
Use this powerful Kubernetes* environment to import and run containers, HELM charts, or buildable source.
Create code directly within a web-based environment and explore a library of tutorials and sample applications.
Secure Shell (SSH) Direct Connection
Connect directly to a node and run your workloads using a command line interface.
cnvrg.io* Full Stack Machine Learning Operating System cnvrg.io* is the world's most flexible end-to-end machine learning operating system built to empower AI developers to build high-impact models faster on any AI infrastructure.
"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."