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11th Generation Intel® Core™ i7 Processor (Tiger Lake) Now Available

On 2021-05-13 16:30:00 UTC

Come try the latest Core™ i7 Processor (Tiger Lake), available now on lntel® DevCloud for the Edge. Review product specification here and see the full list of hosted devices here .

New Deep Learning Workbench Enhancements

On 2021-05-12 16:30:00 UTC

The Deep Learning Workbench is a GUI-based application that allows you to convert models to OpenVINO™, profile AI model performance, quantize models to lower precisions and more. With new release available now you can analyze and optimize your models based on layer precisions, have more flexibility configuring model accuracy measurements, explore more use-cases with added support for face landmark detection and person re-identification ones (VGGFace2 and LFW dataset types) Try it out now .

New Language Translation Sample

On 2021-05-11 18:00:00 UTC

Machine Translation interactive sample now available on Intel® DevCloud for the Edge. This sample demonstrates using AI to translate English to German and Russian based on non-autoregressive transformer topology. Find the sample here .

New Performance Comparison Sample

On 2021-05-11 18:00:00 UTC

This sample showcases how a smart video IoT object detection solution may be created using Intel® hardware and software tools while demonstrating the impact of data type on model performance. Find the sample here .

New Formula Recognition Sample

On 2021-05-11 18:00:00 UTC

Turn hand-written or photographed formulas into digital text using this new sample, available on Intel® DevCloud for the Edge. Find the sample here .

11th Generation Intel® Core™ i5 Processor (Tiger Lake) Now Available

On 2021-05-07 16:30:00 UTC

Come try the latest Core™ i5 Processor (Tiger Lake), available now on lntel® DevCloud for the Edge. Review product specification here and see the full list of hosted devices here .

*New* The Intel® DevCloud now uses Single Sign-On

On 2021-04-26 16:30:00 UTC

For more information, please refer to the Frequently Asked Questions .

DevCloud supports latest OpenVINO LTS version

On 2021-04-15 18:00:00 UTC

Intel® DevCloud for the Edge now supports Long Term Support (LTS) Version 2020.3.2 of the Intel® Distribution of the OpenVINO™ Toolkit. view release notes here .

Intel® launches 3rd Gen Xeon® Scalable Processors

On 2021-04-09 18:00:00 UTC

Intel launches latest Xeon processor, learn more here. These processors will be available on Intel® DevCloud for the Edge in the coming weeks .

New Industrial Defect Detection Sample

On 2021-04-02 18:00:00 UTC

Weld Porosity interactive sample now available on Intel® DevCloud for the Edge. This sample demonstrates how computer vision can be used to detect welding porosity and stop production real time. Find the sample here .

OpenVINO updated to 2021.3

On 2021-03-22 18:00:00 UTC

Intel DevCloud for the Edge now features the Intel Distribution of OpenVINO Toolkit - 2021.3. For more information, view the release notes .

DevCloud Maintenance on March 25, 2021

On 2021-03-15 16:30:00 UTC

Intel DevCloud may be unavailable from 7:00 am to 1:00 pm UTC (2021-03-25 7:00:00 UTC midnight to 2021-03-25 13:00:00 ) on March 25, 2021 due to network service maintenance. .

New Deep Learning Workbench for DevCloud

On 2021-03-05 16:30:00 UTC

Convert your AI models into an optimized OpenVINO format, profile to identify latency and throughput of your models and tune to maximize performance. The latest version adds support for experiments with super-resolution, inpainting and style transfer models. Additionally, you can export performance profile results to share with colleagues or reference offline. Learn more and launch .

Interview with Intel's Monique Jones

On 2021-03-01 16:30:00 UTC

Edge AI Vision Alliance’s Jeff Bier interviewed Monique Jones to talk about DevCloud and her experience at Intel. You can watch the interview at Edge AI Vision Alliance .

Chip-Enabled Edge AI Drives Next-Gen IoT

On 2021-03-01 16:00:00 UTC

Intel's Bill Pearson discusses Intel's XPU strategy and software solutions, including OpenVINO™ and Intel® DevCloud for the Edge. Read the full article. .

New samples added for partner hardware

On 2021-03-01 10:00:00 UTC

The Store Isle Monitor and the Pneumonia Classification samples are now available to run virtually on iEi hardware. Visit the iEi manufacturing partner page to try the samples and learn more. .

Embedded World Digital

On 2021-02-23 11:00:00 UTC

Join Intel® at Embedded World Digital, March 1st - 5th, where we will be highlighting our latest products and solutions for edge computing. Attend our sessions or drop by our virtual booth. Register here for free. .

OpenCV Spacial AI Competition

On 2021-01-27 11:00:00 UTC

Intel partners with OpenCV and Microsoft Azure for the OpenCV AI Competition 2021, with $400k in prizes.Learn more. .

Seismic Interpretation Sample

On 2021-01-22 12:00:00 UTC

New Seismic Interpretation Sample runs an analysis on seismic amplitude data to identify salt bodies in the Earth's crust for oil and gas extraction operations. .

Benchmark Sample

On 2021-01-22 11:00:00 UTC

New Benchmark Sample uses AWS S3 bucket to upload and download deep learning models for benchmarking on OpenVINO™ supported hardware. .

Safety Gear Detection Sample

On 2021-01-22 10:00:00 UTC

New Safety Gear Detection Sample has been added to Partner page for IEI manufacturer. .

OpenVINO updated to 2021.2

On 2020-12-15 18:00:00 UTC

Intel DevCloud for the Edge now features the Intel Distribution of OpenVINO Toolkit - 2021.2. For more information, view the release notes. .

Model Visualizer

On 2020-12-09 10:00:00 UTC

Intel® DevCloud for the Edge now supports the Model Visualizer tool to graphically represent model layers and performance. Click here to learn more. .

Speech Recognition Sample

On 2020-12-03 04:00:00 UTC

New Speech Recognition Sample showcases inference execution on Intel® Gaussian & Neural Accelerator (GNA). .

OpenVINO™ launches Deep Learning Workbench

On 2020-11-24 10:00:00 UTC

Intel® DevCloud for the Edge now enables the Deep Learning Workbench, a new feature of Intel® Distribution of OpenVINO™ Toolkit. .

Restricted Zone Notifier Sample

On 2020-11-20 04:00:00 UTC

New Restricted Zone Notifier Sample is application that detects the number of people within a video frame and determines whether they have entered a restricted zone. .

OpenVINO updated to 2020.3.1 LTS

On 2020-11-6 13:00:00 UTC

Intel DevCloud for the Edge now features the Intel Distribution of OpenVINO Toolkit - 2020.3.1 LTS For more information, view the release notes. .

Independent User Access

On 2020-11-02 16:00:00 UTC

Developers can now register for Intel® DevCloud for the Edge as an independent user with a personal email account. Register here. .

Academic User Access

On 2020-10-23 16:00:00 UTC

Intel® DevCloud for the Edge is now available for educational access to students, faculty and researchers. Register here. .

Partner Platform Access

On 2020-10-16 12:00:00 UTC

You can now test your applications and run samples on partners hardware platforms. Learn more. .

Biomedical Text Mining Sample

On 2020-10-16 02:00:00 UTC

New NLP Sample showcases BioBERT leveraged to do biomedical question answering using the Intel® Distribution of OpenVINO™ Toolkit .

Electrocardiography Sample

On 2020-10-16 02:00:00 UTC

New classification sample showcases inference performance on streaming electrocardiograph time series data using the Intel® Distribution of OpenVINO™ Toolkit .

OpenVINO updated to 2021.1

On 2020-10-07 18:00:00 UTC

Intel DevCloud for the Edge now features the Intel Distribution of OpenVINO Toolkit - 2021.1. For more information, view the release notes. .

Tiny YOLO V3 Object Detection

On 2020-08-14 18:00:00 UTC

New Object Detection Sample using the Intel® Distribution of OpenVINO™ Toolkit. .

OpenVINO updated to 2020.4

On 2020-07-15 18:00:00 UTC

Intel DevCloud for the Edge now features the Intel Distribution of OpenVINO Toolkit - 2020.4. For more information, view the release notes. .

Synthetic Aperture Radar (SAR) Sample

On 2020-06-26 13:00:00 UTC

New Classification Sample that showcases classification of Synthetic Aperture Radar images using the Intel® Distribution of OpenVINO™ Toolkit .

Accelerated Object Detection with Encrypted Model (C++)

On 2020-06-11 13:00:00 UTC

New Tutorial has been added that walks through the steps on how to use Intel® Distribution of OpenVINO™ Toolkit securely with encrypted models. .

Learn Techniques To Migrate To/From Edge Devices

On 2020-06-06 13:00:00 UTC

New Tutorials have been added to help you migrate applications to Edge devices once you've experimented with them in DevCloud or import from edge devices to test on hardware in DevCloud. .

OpenVINO updated to 2020.3 LTS

On 2020-06-4 13:00:00 UTC

Intel DevCloud for the Edge now features the Intel Distribution of OpenVINO Toolkit - 2020.3 LTS. For more information, view the release notes. .

Clean Room Worker Safety

On 2020-05-15 13:00:00 UTC

New ONNX Object Detection Sample showcasing the detection of safety gear using ONNX Runtime EP for Intel® Distribution of OpenVINO™ toolkit. .

New Speech Recognition C++ Sample

On 2020-05-08 13:00:00 UTC

A new sample that demonstrates the Speech Library API with OpenVINO™ inference engine for speech transcription. .

DL Streamer tutorial

On 2020-05-05 13:00:00 UTC

A new tutorial demonstrating the workflow for building a modular GStreamer pipeline to perform object detection, tracking, and classification using the DL Streamer from the Intel® Distribution of OpenVINO™ toolkit. .

OpenVINO updated to 2020.2

On 2020-04-23 16:00:00 UTC

Intel DevCloud for the Edge currently features the Intel Distribution of OpenVINO Toolkit - version 2020, release 2 (2020.2). For more information, view the release notes. .

Edge node performance dashboards now featured in sample application

On 2020-04-13 15:12:00 UTC

Sample applications now feature dashboards for edge node performance metrics. Select 'view dashboard' after running inference on a target device within a Jupyter notebook. .

Benchmark app to estimate inference performance

On 2020-04-02 19:00:00 UTC

A new tutorial demonstrating how to estimate the inference performance of your deep-learning models on supported devices. .

Post-Optimization Toolkit

On 2020-04-02 19:00:00 UTC

Convert your model to INT8 format and optimize its performance using the Post-Optimization Toolkit in the Object Detection Python Sample. .

OpenVINO updated to 2020.1

On 2020-02-17 20:00:00 UTC

Intel® DevCloud for the Edge currently features the Intel® Distribution of OpenVINO™ Toolkit, version 2020.1. .

" Our solution is designed to employ Intel® optimized machine learning hardware and software technologies to train, test, and operationalize a model to help detect COVID-19 and 14 other thoracic diseases using chest scans. We used the Intel® DevCloud for the Edge and Intel® Distribution of OpenVINO™ toolkit to optimize and deploy our machine learning models across multiple Intel® platforms. As a result, our team was able to accelerate prototyping and deployment at lower costs on the best performing Intel® architecture for our solution. "

- Moloti Nakampe, Accrad R&D

Accrad Solution Brief >

" 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® DevCloud for the Edge 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, AnyVision

AnyVision Solution Brief >

" Because developers can quickly evaluate the performance of their applications in multiple edge computing systems by using Intel® DevCloud for the Edge, 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 DevCloud for the Edge will accelerate and streamline operations and create new value for more IoT businesses and for more customers. "

- Tomohiro Nagao, Senior Manager, Hitachi, Ltd., Healthcare Business Unit

Hitachi Solution Brief >

" 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® DevCloud for the Edge 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, Co-Founder, Leading Partnerships, CPO/CTO, Infilect Technologies Pvt. Ltd.

" Using the Intel® DevCloud for Edge 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. DevCloud for the Edge 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, CEO, Luxonis Embedded CV & 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® DevCloud for Edge serves this exact purpose and enables us to benchmark our AI workloads on a variety of platforms not found on premise. "

- Roee Shibolet, VP R&D

" 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® DevCloud for the Edge enables us to quickly benchmark our models across multiple architectures and determine the best option for our customer use cases. "

- Patric Fulop, Co-Founder & CTO of Neurolabs

" By benchmarking our trained model on Intel® hardware enabled on the Intel® DevCloud for the Edge, we could accelerate the product development and validation time. It is highly recommended to use Intel® DevCloud for the Edge for AI solution development. "

- Masaki Ishihara, Chief Engineer at Nihon System Kaihatsu Co., Ltd.

" Rosmart provides automatic defects detection machines to do the visual inspection work. It can always keep the high quality standard, high inspection efficiency, and low labor cost. "

- Alex Zhang, R&D director, Guangdong Rosmart Technology Co., Ltd.

Rosmart Solution Brief >

" Because of the user experience we are trying to achieve, it is important to find the perfect balance of price and performance for each of our products. Though Intel® DevCloud for the Edge and its well prepared tools and environment, we were able to decrease the time it took to do a wide array of hardware tests on our interactive digital signage solutions, like Intelligent Label. "

- Ryota Tone, Content Business Division, Business Development Department Manager, SB Creative Corp.

" Sightcorp's deep learning audience measurement products are hardware agnostic; therefore, it is very important for us to be able to rapidly test and iterate multiple Intel® platforms in parallel while still maintaining the inference speed needed to aggregate quality data in real-time. Intel® DevCloud for the Edge allows all of this to happen without dealing with physical hardware, which is perfect for the time we are currently living in and time spent working from home. For our customers, we strike the right balance between price and performance for each of our products so they can go to market faster and with a clear understanding of device capabilities. "

- Joyce Caradonna, CEO of Sightcorp

" We are pushing speech technology into emerging markets where there is a lot of language diversity and a variety of hardware challenges. That means that we need to test a lot of models (for many languages and accents) on edge devices. Intel® DevCloud for the Edge gives our data scientists a way to quickly spin up a notebook and test our models in a diverse set of scenarios. We can then translate these learnings directly into real product modifications and configuration, such that our customers are happy with the performance of our multilingual dialogue products right out of the box! "

- Daniel Whitenack, Data Scientist at SIL Corporation

" During COVID-19, the Intel® DevCloud for the Edge did not just help accelerate the development of multiple Intel® platforms in parallel but enabled our remote development without even shipping hardware. SwitchOn is on a mission to help manufacturing industries achieve their uptime and zero-defect goals, and we are confident that our partnership with Intel® will drastically improve the odds of success of our global deployments. "

- Aniruddha Banerjee, Co-Founder of SwitchOn

" Our vision to transform physical locations with real-time actionable insights using computer vision requires us to achieve superior performance to meet customer requirements. With Intel® DevCloud for the Edge, our team can quickly iterate and test multiple architectures at the same time, thus allowing us to go to market faster. In this fast-paced world, Intel® helps us deliver. "

- Lim Chee How, Founder & CEO, Tapway

" The Intel® OpenVINO toolkit was very helpful to optimize our AI model, as it helped accelerate the overall computation, while fully maintaining the model accuracy. Moreover the ability to run it in the Intel® DevCloud for the Edge enabled us to optimize inferencing over a wide range of Intel® processors without having us invest in procuring and maintaining the physical hardware platforms. "

- Zia Manzur, COO, Tech for Social Impact

Technology for Social Impact Solution Brief >

" The results from our exercise in Intel® DevCloud for the Edge show that neural network computing performance on a CPU now matches a GPU. These performance benchmarks are constantly improving, thanks to new, innovative tools. Now, advanced edge inference solutions like ours are feasible with CPUs, allowing us to run our solution as a real-time IoT application operating on Intel® Xeon® processors at multiple stores. "

- Erdem Yoruk, Chief Scientist, Vispera Information Technologies

Vispera Solution Brief >

" Intel DevCloud for the Edge provided confidence that our solution will be able to accommodate the number of cameras that customers have in their environment, and it helped remove guesswork from the pilot process. "

- Kamal Mannar, Head of Applied Intelligence at Vulcan AI

Vulcan AI Solution Brief >

" Intel® DevCloud for the Edge allows us to choose our hardware configuration to optimize training, enabling us to create vertical CV models for each customer’s needs. "

- Reinier van Kleij, CTO, WonderStore

WonderStore Solution Brief >

" Intel® DevCloud for the Edge is an outstanding cloud platform which enables us to provide our customers with online training for Intel® Distribution of OpenVINO™ toolkit. Not only are they able to use the latest version of Intel® Distribution of OpenVINO™ toolkit promptly, but they are also able to target CPUs, Intel® Processor Graphics, Intel® Movidius™, VPUs, and Intel® FPGAs as inference accelerators to see the actual performance. There is no preparation required in advance for the attendees at our online training, and it also allows them the access to the Intel® DevCloud for the Edge for an extended period of time, even after attending the training, for a self-learning opportunity. By iterating, they are able to effectively gain the experience to express their ideas. Moreover, we are able to focus on the knowledge and experience to be shared with the attendees through Jupyter Notebook-based content without the hassle of sourcing different hardware, configuring software, and maintaining and managing them. We would like to thank Intel® for providing such an effective hardware-based cloud platform. "

- Nobuaki Nishi, CEO of XLsoft Corporation

Overview Videos

 

Intel® DevCloud for the Edge

Vision Product of the Year 2020

 

Intel OpenVino Channel

Episode 58: Intel DevCloud

Feature Videos

 

Prototypical Behavior

Episode 1: Behold the DevCloud

 

Prototypical Behavior

Episode 2: The Cheetah

 

Prototypical Behavior

Episode 3: Time Machine

 

Prototypical Behavior

Episode 4: Hot Yoga

 

Prototypical Behavior

Tips & Tricks Episode 1: Try & Buy

Tutorials

 

Deep Learning Workbench Demonstration