Intel Chip Chat

In this episode of Intel Chip Chat, Christine Avanessians, Principal PM Manager of the Microsoft Azure Compute team at Microsoft, joins us to talk about Microsoft Azure’s Confidential Computing (ACC). ACC is a broad Microsoft initiative to protect applications and data while in use in memory in the public cloud and is enabled by Intel® Software Guard Extensions (Intel® SGX). Christine explains why being able to protect data in use is important for customers and how it is accelerating adoption of public cloud workloads. Christine also talks about what is new for ACC at Microsoft Ignite this week in Florida and how people can get started with Open Enclave. To learn more go to: https://azure.microsoft.com/en-us/blog/azure-confidential-computing/, or follow Microsoft Azure on Twitter at https://twitter.com/Azure.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

In this episode of Intel Chip Chat, Christine Avanessians, Principal PM Manager of the Microsoft Azure Compute team at Microsoft, joins us to talk about Microsoft Azure’s Confidential Computing (ACC). ACC is a broad Microsoft initiative to protect applications and data while in use in memory in the public cloud and is enabled by Intel® Software Guard Extensions (Intel® SGX). Christine explains why being able to protect data in use is important for customers and how it is accelerating adoption of public cloud workloads. Christine also talks about what is new for ACC at Microsoft Ignite this week in Florida and how people can get started with Open Enclave. To learn more go to: https://azure.microsoft.com/en-us/blog/azure-confidential-computing/, or follow Microsoft Azure on Twitter at https://twitter.com/Azure.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

Jennifer Huffstetler, VP and GM for Data Center Product Management at Intel, joins Chip Chat to outline the exciting new capabilities of the Intel® Xeon® E-2100 processor featuring Intel® Software Guard Extensions (Intel® SGX). Huffstetler is responsible for the management of Intel's data center processor and storage products. Huffstetler shares the news that Intel Xeon E-2100 processor family is now available for entry servers and protected cloud use cases. The new Intel Xeon E-2100 processor improves performance by 39%[1] compared to the prior generation, offers up to 6 cores, and supports up to 128 GB of DDR4 ECC memory[2]. Huffstetler discusses use cases for small and mid-sized businesses, larger enterprises, and customers seeking enhanced security features. Huffstetler also speaks to main takeaways from a recent panel she led (https://intel.com/xeonepanel) on Intel SGX and secure cloud services and how Intel Xeon E-2100 is preparing the ecosystem for broader adoption of Intel SGX technology. For more information on the Intel Xeon E-2100 processor, please visit https://intel.com/xeone and follow Huffstetler on Twitter at https://twitter.com/jenhuffstetler.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks.

Performance results are based on testing as of 10/12/2018 and may not reflect all publicly available security updates. See configuration disclosure for details. No product can be absolutely secure.

Results have been estimated or simulated using internal Intel analysis or architecture simulation or modeling, and provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual performance.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. Check with your system manufacturer or retailer or learn more at intel.com.

[1] Up to 39% more compute integer throughput with Intel® Xeon® E-2186G Processor compared with Intel® Xeon® Processor E3-1285 v6.

System Config:

Tested at Intel Corp as of 10/12/2018

1x Intel® Xeon® E-2186G Processor, Platform: Moss Beach, 4 x 8GB DDR4 2666 ECC(32GB 2666MHz ) ,OS: Ubuntu 18.04.1 LTS (Kernel 4.15.0-29-generic) ,Benchmark: SPECrate*2017_int_base (Estimated), Compiler: ICC 18.0.2 20180210,BIOS: CNLSE2R1.R00.X138.B81.1809120626, uCode:0x96, Storage: SSD S3710 Series 800GB, Score: 41.4 (Estimated) compared to 1x Intel® Xeon® E3-1285v6 Processor Platform: S1200RP, 4 x 8GB DDR4 2400 (32GB 2400MHz ) ,OS: Ubuntu 18.04.1 LTS (Kernel 4.15.0-29-generic), Benchmark: SPECrate*2017_int_base (Estimated), Compiler: 18.0.2 20180210,BIOS: S1200SP.86B.03.01.0038.062620180344, uCode:0x8e, Storage: SSD S3710 Series 800GB, Score: 29.7 (Estimated)

[2] Support for up to 128GB system memory capacity will be available in 2019 through a published BIOS update. Please contact your hardware provider for availability and support.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation.

Jennifer Huffstetler, VP and GM for Data Center Product Management at Intel, joins Chip Chat to outline the exciting new capabilities of the Intel® Xeon® E-2100 processor featuring Intel® Software Guard Extensions (Intel® SGX). Huffstetler is responsible for the management of Intel's data center processor and storage products. Huffstetler shares the news that Intel Xeon E-2100 processor family is now available for entry servers and protected cloud use cases. The new Intel Xeon E-2100 processor improves performance by 39%[1] compared to the prior generation, offers up to 6 cores, and supports up to 128 GB of DDR4 ECC memory[2]. Huffstetler discusses use cases for small and mid-sized businesses, larger enterprises, and customers seeking enhanced security features. Huffstetler also speaks to main takeaways from a recent panel she led (https://intel.com/xeonepanel) on Intel SGX and secure cloud services and how Intel Xeon E-2100 is preparing the ecosystem for broader adoption of Intel SGX technology. For more information on the Intel Xeon E-2100 processor, please visit https://intel.com/xeone and follow Huffstetler on Twitter at https://twitter.com/jenhuffstetler.

Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more complete information visit www.intel.com/benchmarks.

Performance results are based on testing as of 10/12/2018 and may not reflect all publicly available security updates. See configuration disclosure for details. No product can be absolutely secure.

Results have been estimated or simulated using internal Intel analysis or architecture simulation or modeling, and provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual performance.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. Check with your system manufacturer or retailer or learn more at intel.com.

[1] Up to 39% more compute integer throughput with Intel® Xeon® E-2186G Processor compared with Intel® Xeon® Processor E3-1285 v6.

System Config:

Tested at Intel Corp as of 10/12/2018

1x Intel® Xeon® E-2186G Processor, Platform: Moss Beach, 4 x 8GB DDR4 2666 ECC(32GB 2666MHz ) ,OS: Ubuntu 18.04.1 LTS (Kernel 4.15.0-29-generic) ,Benchmark: SPECrate*2017_int_base (Estimated), Compiler: ICC 18.0.2 20180210,BIOS: CNLSE2R1.R00.X138.B81.1809120626, uCode:0x96, Storage: SSD S3710 Series 800GB, Score: 41.4 (Estimated) compared to 1x Intel® Xeon® E3-1285v6 Processor Platform: S1200RP, 4 x 8GB DDR4 2400 (32GB 2400MHz ) ,OS: Ubuntu 18.04.1 LTS (Kernel 4.15.0-29-generic), Benchmark: SPECrate*2017_int_base (Estimated), Compiler: 18.0.2 20180210,BIOS: S1200SP.86B.03.01.0038.062620180344, uCode:0x8e, Storage: SSD S3710 Series 800GB, Score: 29.7 (Estimated)

[2] Support for up to 128GB system memory capacity will be available in 2019 through a published BIOS update. Please contact your hardware provider for availability and support.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation.

In this episode of Chip Chat, Chris Spanton, Senior Architect of Blockchain at T-Mobile joins us live from Microsoft Ignite, to talk about scaling into the cloud with Blockchain. Blockchain provides a lot of benefits like speed, cost, efficiency, and transparency. It also allows companies like T-Mobile to audit and perform governance and review on data. Chris talks about T-Mobile’s new blockchain solution called NEXT Directory, which is built on Hyperledger Sawtooth and features Intel® Software Guard Extensions (Intel® SGX). Chris talks about the value that OpenSource and Hyperledger play in blockchain. For example, Sawtooth’s Proof of Elapsed Time (PoET) consensus algorithm interfaces with Intel SGX and moves the actual consensus process into the hardware, which speeds up node process and increases security. To learn more about the work that T-Mobile is doing with Microsoft and Intel in blockchain, visit https://github.com/hyperledger/sawtooth-next-directory.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

Prasanth Pulavarthi, Principal Program Manager for AI Infrastructure at Microsoft, and Padma Apparao, Principal Engineer and Lead Technical Architect for AI at Intel, discuss a collaboration that enables developers to switch from one deep learning operating environment to another regardless of software stack or hardware configuration.

ONNX is an open format that unties developers from specific machine learning frameworks so they can easily move between software stacks. It also reduces ramp-up time by sparing them from learning new tools. Many hardware and software companies have joined the ONNX community over the last year and added ONNX support in their products. Microsoft has enabled ONNX in Windows and Azure and has released the ONNX Runtime which provides a full implementation of the ONNX-ML spec.

With the nGraph API, developed by Intel, developers can optimize their deep learning software without having to learn the specific intricacies of the underlying hardware. It enables portability between Intel® Xeon® Scalable processors and Intel® FPGAs as well as Intel® Nervana™ Neural Network Processors (Intel® Nervana™ NNPs). Intel is integrating the nGraph API into the ONNX Runtime to provide developers accelerated performance on a variety of hardware.

For information about ONNX as well as tutorials and ways to get involved in the ONNX community, visit https://onnx.ai/.

To learn more about ONNX Runtime visit https://azure.microsoft.com/en-us/blog/onnx-runtime-for-inferencing-machine-learning-models-now-in-preview/.

To learn more about the Intel nGraph API, visit https://ai.intel.com/ngraph-a-new-open-source-compiler-for-deep-learning-systems/.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at https://ai.intel.com/.

Intel, the Intel logo, Intel® Xeon® Scalable processors, Intel® FPGAs, and Intel® Nervana™ Neural Network Processors (Intel® Nervana™ NNPs) are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

Prasanth Pulavarthi, Principal Program Manager for AI Infrastructure at Microsoft, and Padma Apparao, Principal Engineer and Lead Technical Architect for AI at Intel, discuss a collaboration that enables developers to switch from one deep learning operating environment to another regardless of software stack or hardware configuration.

ONNX is an open format that unties developers from specific machine learning frameworks so they can easily move between software stacks. It also reduces ramp-up time by sparing them from learning new tools. Many hardware and software companies have joined the ONNX community over the last year and added ONNX support in their products. Microsoft has enabled ONNX in Windows and Azure and has released the ONNX Runtime which provides a full implementation of the ONNX-ML spec.

With the nGraph API, developed by Intel, developers can optimize their deep learning software without having to learn the specific intricacies of the underlying hardware. It enables portability between Intel® Xeon® Scalable processors and Intel® FPGAs as well as Intel® Nervana™ Neural Network Processors (Intel® Nervana™ NNPs). Intel is integrating the nGraph API into the ONNX Runtime to provide developers accelerated performance on a variety of hardware.

For information about ONNX as well as tutorials and ways to get involved in the ONNX community, visit https://onnx.ai/.

To learn more about ONNX Runtime visit https://azure.microsoft.com/en-us/blog/onnx-runtime-for-inferencing-machine-learning-models-now-in-preview/.

To learn more about the Intel nGraph API, visit https://ai.intel.com/ngraph-a-new-open-source-compiler-for-deep-learning-systems/.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at https://ai.intel.com/.

Intel, the Intel logo, Intel® Xeon® Scalable processors, Intel® FPGAs, and Intel® Nervana™ Neural Network Processors (Intel® Nervana™ NNPs) are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

In this interview from Microsoft Ignite, Dr. Ted Way, Senior Program Manager for Microsoft, stops by to talk about Microsoft Azure* Machine Learning, an end-to-end, enterprise grade data science platform. Microsoft takes a holistic approach to machine learning and artificial intelligence, by developing and deploying complex algorithms as well as accelerating them on hardware. Azure Machine Learning is powered by Project Brainwave, using Intel® FPGAs to deliver real-time AI in the form of image recognition and classification, language understanding, speech to text, and text to speech. Intel FPGAs shine when processing unstructured data and serving a response with very low latency. At Ignite, Microsoft announced four new algorithms – ResNet-152, DenseNet-121, VGG-16, and SSD-VGG – which will allow uses even more flexibility when using the Azure Machine Learning platform. To get started with Azure Machine Learning and Intel FPGAs, visit http://aka.ms/rtai.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

In this interview from Microsoft Ignite, Dr. Ted Way, Senior Program Manager for Microsoft, stops by to talk about Microsoft Azure* Machine Learning, an end-to-end, enterprise grade data science platform. Microsoft takes a holistic approach to machine learning and artificial intelligence, by developing and deploying complex algorithms as well as accelerating them on hardware. Azure Machine Learning is powered by Project Brainwave, using Intel® FPGAs to deliver real-time AI in the form of image recognition and classification, language understanding, speech to text, and text to speech. Intel FPGAs shine when processing unstructured data and serving a response with very low latency. At Ignite, Microsoft announced four new algorithms – ResNet-152, DenseNet-121, VGG-16, and SSD-VGG – which will allow uses even more flexibility when using the Azure Machine Learning platform. To get started with Azure Machine Learning and Intel FPGAs, visit http://aka.ms/rtai.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

In this interview from Microsoft Ignite, Dr. Ted Way, Senior Program Manager for Microsoft, stops by to talk about Microsoft Azure* Machine Learning, an end-to-end, enterprise grade data science platform. Microsoft takes a holistic approach to machine learning and artificial intelligence, by developing and deploying complex algorithms as well as accelerating them on hardware. Azure Machine Learning is powered by Project Brainwave, using Intel® FPGAs to deliver real-time AI in the form of image recognition and classification, language understanding, speech to text, and text to speech. Intel FPGAs shine when processing unstructured data and serving a response with very low latency. At Ignite, Microsoft announced four new algorithms – ResNet-152, DenseNet-121, VGG-16, and SSD-VGG – which will allow uses even more flexibility when using the Azure Machine Learning platform. To get started with Azure Machine Learning and Intel FPGAs, visit http://aka.ms/rtai.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation