Intel Chip Chat

Data insights are the currency of digital business. A data-driven culture empowers employees with the resources and skills they need to access the right information at the right time to make smart decisions. Lisa Davis, General Manager for Digital Transformation & Scale Solutions in the Data Center Group at Intel, explains the important roles that both technology and humans play in creating this culture, and how business leaders can pave the way for culture change. For more on this topic, visit intel.com/analytics or intel.com/beready.

Heather Kirksey, Vice President of OPNFV, and Bryan Madden, Marketing Director for Intel’s Network Platforms Group, joined Chip Chat to talk about a compelling new paper outlining the total cost of ownership (TCO) savings resulting from a virtualized central office (VCO).

Fewer than five percent of central offices have been transformed into mini-data centers to support explosive data growth at the network edge. With the launch of 5G and proliferation of data-hungry applications, communication services providers, hardware and software companies and the open source community have a vested interest in virtualizing services on standardized hardware with datacenter processing scale and cloud flexibility.

OPNFV tested the VCO proof of concept using open source software against use cases identified by Intel in its work with British Telecom (BT). The VCO TCO tool incorporates real-life data across configurations, utilization rates, enterprise customer segments and geographies, among other inputs.

Operators can model their operations for estimated five-year TCO returns. The OPNFV paper estimated top-line TCO reduction from VCO at 43 percent. You may download the new paper at https://intel.ly/2NFedDl. Learn more about Intel’s work in networking and 5G at www.intel.com/network.

Cost reduction scenarios described are intended as examples of how a given Intel- based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction.

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.

43% Reduced Total Cost with Virtualized Central Office based on https://intel.ly/2NFedDl.

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.

Heather Kirksey, Vice President of OPNFV, and Bryan Madden, Marketing Director for Intel’s Network Platforms Group, joined Chip Chat to talk about a compelling new paper outlining the total cost of ownership (TCO) savings resulting from a virtualized central office (VCO).

Fewer than five percent of central offices have been transformed into mini-data centers to support explosive data growth at the network edge. With the launch of 5G and proliferation of data-hungry applications, communication services providers, hardware and software companies and the open source community have a vested interest in virtualizing services on standardized hardware with datacenter processing scale and cloud flexibility.

OPNFV tested the VCO proof of concept using open source software against use cases identified by Intel in its work with British Telecom (BT). The VCO TCO tool incorporates real-life data across configurations, utilization rates, enterprise customer segments and geographies, among other inputs.

Operators can model their operations for estimated five-year TCO returns. The OPNFV paper estimated top-line TCO reduction from VCO at 43 percent. You may download the new paper at https://intel.ly/2NFedDl. Learn more about Intel’s work in networking and 5G at www.intel.com/network.

Cost reduction scenarios described are intended as examples of how a given Intel- based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction.

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.

43% Reduced Total Cost with Virtualized Central Office based on https://intel.ly/2NFedDl.

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.

Dr. Andres Rodriguez, a Senior Principal Engineer in the Data Center Group at Intel, stops by to talk about why it is so critical to optimize framework and software tools artificial intelligence applications. Intel has worked hard over the last two years to optimize popular frameworks like Caffe, TensorFlow, MXNet, and Pytorch for Intel® Xeon® processors. We’ve also developed the Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) to accelerate deep learning workloads on Intel® architecture. Customers are now seeing the benefits of using their existing Intel Xeon processors for artificial intelligence workloads with increasingly optimized performance. For more on this topic, visit: http://ai.intel.com.

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.

Dr. Yinyin Liu, Principal Engineer and Head of Data Science for the Artificial Intelligence Products Group at Intel, joins Chip Chat to talk about software tools and optimizations coming out of Intel AI Lab. Dr. Liu and her team work to converge research into data science with Intel's hardware and software technologies to contribute tools and research back to the AI community. In this interview, Dr. Liu discusses recent advancements such as NLP Architect, Reinforcement Learning (RL) Coach, and Neural Network Distiller. Dr. Liu was recently named by Silicon Valley Business Journal as one of "9 Silicon Valley women to watch who are leading in AI," https://intel.ly/2wr8S97. For more information on Dr. Liu and her team's work, please stay tuned to https://ai.intel.com/research-projects/.

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

Gadi Singer, Vice President, Architecture General Manager, Artificial Intelligence Products Group, Intel, joins Chip Chat to discuss technology innovation and his top life lessons to help us understand AI and its natural progression into our everyday lives. With over 35 years at Intel, Gadi has been a part of driving seven architectures, including the first Intel® Xeon processors brought to market. Gadi shares with us the following lessons and knowledge he’s gleaned from his years at Intel: what breakthrough innovation requires; always “question the question” by redefining the problem; transformative innovation challenges beliefs, priorities and values; and when it’s clear it’s late (our thinking is linear and our environment is changing at an exponential rate). Ultimately, Gadi encourages us to embrace AI and its power to improve and accelerate almost any type of innovation.

Gadi Singer, Vice President, Architecture General Manager, Artificial Intelligence Products Group, Intel, joins Chip Chat to discuss technology innovation and his top life lessons to help us understand AI and its natural progression into our everyday lives. With over 35 years at Intel, Gadi has been a part of driving seven architectures, including the first Intel® Xeon processors brought to market. Gadi shares with us the following lessons and knowledge he’s gleaned from his years at Intel: what breakthrough innovation requires; always “question the question” by redefining the problem; transformative innovation challenges beliefs, priorities and values; and when it’s clear it’s late (our thinking is linear and our environment is changing at an exponential rate). Ultimately, Gadi encourages us to embrace AI and its power to improve and accelerate almost any type of innovation.

Gadi Singer, Vice President, Architecture General Manager, Artificial Intelligence Products Group, Intel, joins Chip Chat to discuss technology innovation and his top life lessons to help us understand AI and its natural progression into our everyday lives. With over 35 years at Intel, Gadi has been a part of driving seven architectures, including the first Intel® Xeon processors brought to market. Gadi shares with us the following lessons and knowledge he’s gleaned from his years at Intel: what breakthrough innovation requires; always “question the question” by redefining the problem; transformative innovation challenges beliefs, priorities and values; and when it’s clear it’s late (our thinking is linear and our environment is changing at an exponential rate). Ultimately, Gadi encourages us to embrace AI and its power to improve and accelerate almost any type of innovation.

Lisa Spelman, Vice President & General Manager for Intel Xeon products and Data Center Marketing at Intel, joins Chip Chat to review all the big news from the recent Intel Data Centric Innovation Summit. In this interview, Spelman discusses Intel's view of data-centric computing and how our broad portfolio of silicon solutions will help customers move faster, store more, and process everything. For more on the Intel Data Centric Innovation Summit, please read Navin Shenoy's post "Innovating for the 'Data-Centric' Era" in the Intel Newsroom: https://newsroom.intel.com/editorials/data-centric-innovation-summit/.

Footnotes

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 information go to www.intel.com/benchmarks.

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].

The benchmark results reported may need to be revised as additional testing is conducted. The results depend on the specific platform configurations and workloads utilized in the testing, and may not be applicable to any particular user’s components, computer system or workloads. The results are not necessarily representative of other benchmarks and other benchmark results may show greater or lesser impact from mitigations.

Optimization notice: Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

"$200 million 2022 Data-Centric Silicon TAM" - https://intel.ly/2Mw7KKE, page 12

"Artificial Intelligence is over a billion dollar workload on Xeon alone last year" - https://intel.ly/2Mw7KKE, page 31

43% increase in public cloud revenue in 1H 18 - https://intel.ly/2vGkjJu, page 4

Intel Xeon Scalable platform fastest Intel product to ramp to one million units - https://intel.ly/2Mw7KKE, page 28

$2.5 billion silicon market for AI in the data center; $8-10 billion silicon market for AI in the data center in 2022 - https://intel.ly/2Mw7KKE, page 15

11X inference thoughput improvement with Cascade Lake - https://intel.ly/2Mw7KKE, page 33

Large database reboot time improvement from 35 minutes to 16 seconds - https://intel.ly/2nDTLUZ, page 12

50% of volume shipped on customized processors - https://intel.ly/2M6avCd

70,000 Central Offices - https://intel.ly/2MowbcK, page 12

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.

Lisa Spelman, Vice President & General Manager for Intel Xeon products and Data Center Marketing at Intel, joins Chip Chat to review all the big news from the recent Intel Data Centric Innovation Summit. In this interview, Spelman discusses Intel's view of data-centric computing and how our broad portfolio of silicon solutions will help customers move faster, store more, and process everything. For more on the Intel Data Centric Innovation Summit, please read Navin Shenoy's post "Innovating for the 'Data-Centric' Era" in the Intel Newsroom: https://newsroom.intel.com/editorials/data-centric-innovation-summit/.

Footnotes

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 information go to www.intel.com/benchmarks.

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].

The benchmark results reported may need to be revised as additional testing is conducted. The results depend on the specific platform configurations and workloads utilized in the testing, and may not be applicable to any particular user’s components, computer system or workloads. The results are not necessarily representative of other benchmarks and other benchmark results may show greater or lesser impact from mitigations.

Optimization notice: Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

"$200 million 2022 Data-Centric Silicon TAM" - https://intel.ly/2Mw7KKE, page 12

"Artificial Intelligence is over a billion dollar workload on Xeon alone last year" - https://intel.ly/2Mw7KKE, page 31

43% increase in public cloud revenue in 1H 18 - https://intel.ly/2vGkjJu, page 4

Intel Xeon Scalable platform fastest Intel product to ramp to one million units - https://intel.ly/2Mw7KKE, page 28

$2.5 billion silicon market for AI in the data center; $8-10 billion silicon market for AI in the data center in 2022 - https://intel.ly/2Mw7KKE, page 15

11X inference thoughput improvement with Cascade Lake - https://intel.ly/2Mw7KKE, page 33

Large database reboot time improvement from 35 minutes to 16 seconds - https://intel.ly/2nDTLUZ, page 12

50% of volume shipped on customized processors - https://intel.ly/2M6avCd

70,000 Central Offices - https://intel.ly/2MowbcK, page 12

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.