Article by Peter Chambers, Managing Director, Sales, AMD APJ
Introduction – Industry 4.0 in APJ
In recent years, the Asia-Pacific and Japan (APJ) region made remarkable strides in accelerating Industry 4.0 adoption. In fact, according GSMA Intelligence, a definitive source of mobile industry insights, forecasts and research used around the world, “countries in Asia Pacific have established frameworks on a national level, recognising the potential of Industry 4.0 to help prepare economic structures for greater productivity and resilience” with dedicated official task forces in various markets including Japan, Korea and Singapore[i]. The same report provides a summary of Industry 4.0 visions in several nations, listed below:
- Australia has instituted an Industry 4.0 Taskforce that works through its Testlabs initiative to collaborate with industry to improve the competitiveness of the manufacturing industry[ii].
- Japan’s Society 5.0 focuses on mobility, healthcare and caregiving, manufacturing, agriculture, food, disaster prevention, and energy[iii].
- Malaysia’s Industry 4.0 policy framework focuses on labour productivity growth, manufacturing contribution to the economy, innovation capacity, and high skilled jobs[iv].
- Singapore’s key strategies include: transforming facilities and operations, R&D partnerships to develop new talent, and collaborate with manufacturing communities[v].
Evident in many of the national Industry 4.0 priorities stated above, the manufacturing industry across the region is poised to benefit significantly from the Industry 4.0 vision, which places a great emphasis on innovation-driven manufacturing.
In order to efficiently capitalise on what Industry 4.0 technologies have to offer, design and manufacturing enterprises across the region are beginning to move away from legacy systems and traditional processes, to take advantage of next-gen technology to automate, improve and streamline processes. A study by Deloitte supports this transition, reporting that digitally mature companies enjoy a wide range of specific benefits arising from their digital transformations that include, but go well beyond, the bottom line[vi]. As a substantiation, Deloitte’s 2020’s digital transformation study found that companies with higher digital transformation maturity reported 45% net revenue growth[vii].
Elevating Performance in Core Manufacturing Workloads
Cost, product quality, and productivity are the three core pillars in the manufacturing industry; greater efficiency across all three pillars will be a never ending journey. Advanced technologies and services can have a transformative effect across all three pillars, substantially increasing the bottom line for manufacturing companies.
In a general sense, manufacturing firms are turning to High Performance Computing to support various workloads within the manufacturing domain, including Computer Aided Engineering (CAE), Electronic Design Automation (EDA) and Finite Element Analysis (FEA) workloads. High performance computing can help manufacturers at every stage of product development, from running advanced design simulations to automating processes and predicting maintenance issues. There are multiple solutions with different capabilities to suit very specific workloads. In AMD alone, customers can choose from our EPYC processor family, our Ryzen™ Threadripper™ PRO family and now, the AMD EPYC™ 7003 processors with AMD 3D V-Cache™ technology.
Data centres powered by AMD EPYC™ processors help deliver incomparable performance and scalability for CAE and EDA workloads of virtually any size. AMD EPYC™ processors are designed to increase the computing throughput of engineering simulation workloads such as CAE, and EDA by reducing latency impacting design cycle time, contributing to better, higher quality product designs.
AMD Ryzen™ Threadripper™ PRO processors deliver up to 64 cores for multithreaded simulation and rendering along with the advantage of high frequency capable cores for lightly threaded workloads, helping organisations rip through the most demanding design projects.
The best is only getting better with the launch of the AMD EPYC 7003™ Processors with AMD 3D V-Cache technology, raising the bar once more for breakthrough performance on targeted technical computing workloads relevant in the manufacturing industry such as FEA and computational fluid dynamics (CFD):
- CFD Workload (Analyses fluid dynamics faster): Up to 82% maximum speedup on computational fluid dynamics with Ansys Fluent[viii]
- FEA Workload (Finite Element Analysis): The 64-core, AMD EPYC 7773X processor can deliver, on average, 44 percent more performance on Altair® Radioss® simulation applications compared to the competition’s top of stack processor[ix].
That being said, to find the most optimal balance between cost, product quality and productivity, it is essential for business leaders to identify the various workloads in your specific manufacturing process, evaluate the extent to which each workload is used and invest in workload-specific tools. However, as mentioned earlier, with a great many solutions and products out there, business leaders can easily be flummoxed as to what specific tool would be ideal for their unique business needs.
Evaluating the extent to which each workload is used in the organisation would enable business leaders to identify the right workload-specific tool to enhance overall business operations. This is where expert consultants would be an investment with significant ROI.
Other considerations: Reduced Power and Security
While the afore-mentioned points delved into the technical aspects of the manufacturing industry and the role of technology in elevating multiple workloads, there are various other considerations that could lead to a better cost-quality-productivity balance, including energy efficiency and security considerations.
Reduced Power
With regards to the reduction of power, it is a key consideration with significant long term positive impact not just to the environment, but also to the organisation’s Total Cost of Ownership (TCO). To illustrate, AMD EPYC™ 7003 Series processors with AMD 3D V-Cache uses up to 30% less power, and will enable you to save an estimated 123.53 Metric Tons of CO2 which is an estimated equivalent carbon sequestration of 49 acres of US forests annually. Not just that, with the power efficiency provided by the AMD EPYC™ 7003 Series processors with AMD 3D V-Cache, use up to 30% fewer servers and reduce 3-year TCO by up to 30% percent compared to servers without V-Cache technology[x].
Security
Enhancing security is an ever-evolving venture with no finish line, especially for the manufacturing industry. As smart factory initiatives continue to proliferate across the global footprint of manufacturers, cyber risks are expected to continue to increase. In fact, according to a study by Deloitte and the Manufacturers Alliance for Productivity and Innovation (MAPI), forty-eight percent of manufacturers surveyed identified operational risks, which include cybersecurity, as the greatest danger to smart factory initiatives[xi]. The study also states that many manufacturing companies are seeing an increase in cyber related incidents associated with the control systems used to manage industrial operations[xii].
Since many smart factory use cases are still in planning and early stages, now is the time to harmonize these projects with cyber risk programs. Design and include the appropriate end-to-end security controls, and start from the processor level. Identifying the right security solution without performance compromise is key. Built-in at the silicon level, AMD Infinity Guard offers the advanced capabilities required to help defend against internal and external threats and help keep your data safe with virtually zero impact to system performance[xiii].
Conclusion
The Covid-19 pandemic initially slowed digitization efforts not just in APAC, but on a global scale. About 38% of manufacturers surveyed by Deloitte pressed pause on smart factory investments as of August 2020[xiv]. Nevertheless, by 2021, 80% of manufacturers reported that smart factories are key to their future success[xv], according to a Plex report. Investment will likely continue to pour into the sector, and it is time now, more than ever, to invest in the right tools and resources to elevate the manufacturing sector in line with Industry 4.0 goals.
DISCLAIMER
The information contained herein is for informational purposes only and is subject to change without notice. While every precaution has been taken in the preparation of this document, it may contain technical inaccuracies, omissions and typographical errors, and AMD is under no obligation to update or otherwise correct this information. Advanced Micro Devices, Inc. makes no representations or warranties with respect to the accuracy or completeness of the contents of this document, and assumes no liability of any kind, including the implied warranties of noninfringement, merchantability or fitness for particular purposes, with respect to the operation or use of AMD hardware, software or other products described herein. No license, including implied or arising by estoppel, to any intellectual property rights is granted by this document. Terms and limitations applicable to the purchase or use of AMD products are as set forth in a signed agreement between the parties or in AMD’s Standard Terms and Conditions of Sale. GD-18
© 2022 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, AMD 3D V-Cache, EPYC, Ryzen, Threadripper, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other product names used in this publication are for identification purposes only and may be trademarks of their respective owners.
[i] J. Whyte, C. Segura, V. Sharma, K. Okeleke, Recognising the potential of Industry 4.0 in Asia Pacific, GSMA Intelligence, January 2021, https://www.gsma.com/asia-pacific/wp-content/uploads/2021/02/Industry-4.0-Report-FINAL.pdf
[ii] J. Whyte, C. Segura, V. Sharma, K. Okeleke, Recognising the potential of Industry 4.0 in Asia Pacific, GSMA Intelligence, January 2021, https://www.gsma.com/asia-pacific/wp-content/uploads/2021/02/Industry-4.0-Report-FINAL.pdf
[iii] J. Whyte, C. Segura, V. Sharma, K. Okeleke, Recognising the potential of Industry 4.0 in Asia Pacific, GSMA Intelligence, January 2021, https://www.gsma.com/asia-pacific/wp-content/uploads/2021/02/Industry-4.0-Report-FINAL.pdf
[iv] J. Whyte, C. Segura, V. Sharma, K. Okeleke, Recognising the potential of Industry 4.0 in Asia Pacific, GSMA Intelligence, January 2021, https://www.gsma.com/asia-pacific/wp-content/uploads/2021/02/Industry-4.0-Report-FINAL.pdf
[v] J. Whyte, C. Segura, V. Sharma, K. Okeleke, Recognising the potential of Industry 4.0 in Asia Pacific, GSMA Intelligence, January 2021, https://www.gsma.com/asia-pacific/wp-content/uploads/2021/02/Industry-4.0-Report-FINAL.pdf
[vi] R. Gurumurthy, D. Schatsky, J. Camhi, Uncovering the connection between digital maturity and financial performance, Deloitte Insights, 2020, https://www2.deloitte.com/content/dam/insights/us/articles/6561_digital-transformation/DI_Digital-transformation.pdf
[vii] R. Gurumurthy, D. Schatsky, J. Camhi, Uncovering the connection between digital maturity and financial performance, Deloitte Insights, 2020, https://www2.deloitte.com/content/dam/insights/us/articles/6561_digital-transformation/DI_Digital-transformation.pdf
[viii] MLNX-003C: ANSYS® Fluent® 2022.1 comparison based on AMD internal testing as of 02/14/2022 measuring the core solver rating for the Release 19 R1 test case simulations. Configurations: 2x 64C AMD EPYC™ 7773X with AMD 3D V-Cache™ versus 2x 64C AMD EPYC 7763 on the same AMD “Daytona” reference platform. Pump2 is the max result. Results may vary based on factors including silicon version, hardware and software configuration and driver versions OR ANSYS® Fluent® 2021.1 comparison based on AMD internal testing as of 02/14/2022 measuring the core solver rating for the Release 19 R1 test case simulations. Configurations: 2x 32C AMD EPYC™ 7573X with AMD 3D V-Cache™ versus 2x 32C EPYC 75F3 on the same AMD “Daytona” reference platform. Pump2 is the max result. Results may vary based on factors including silicon version, hardware and software configuration and driver versions.
[ix] MLNX-016: Altair® Radioss® 2021.2 comparison based on AMD internal testing as of 02/14/2022 measuring the time to run the dropsander, neon, and t10m test case simulations. Configurations: 2x 64C AMD EPYC 7773X with AMD 3D V-Cache™ versus 2x 40C Intel® Xeon® Platinum 8380. neon is the max result. Results may vary based on factors including silicon version, hardware and software configuration and driver versions.
[x] This scenario contains many assumptions and estimates and, while based on AMD internal research and best approximations, should be considered an example for information purposes only, and not used as a basis for decision making over actual testing. The AMD EPYC™ AMD 3D V-Cache™ VALUE ANALYSIS & GHG TOOL compares the selected AMD EPYC™ and Intel® Xeon® CPU based server solutions required to deliver a TOTAL_PERFORMANCE of 26000 jobs per day with Ansys® fluent-aw14 using the performance scores in this analysis for Intel Xeon and AMD EPYC CPU based servers. This estimation reflects a 3-year time frame.
This analysis compares a 2P AMD EPYC_7773X powered server with a Ansys® fluent-aw14 jobs per day of 1981.26; to a 2P Intel Platinum_8380 based server with a Ansys® fluent-aw14 jobs per day of 1328.56.
A server powered by the EPYC_7773X can deliver up to 49% more jobs per day than the Platinum_8380 based server.
Both AMD EPYC and Intel based servers use the same cost for the following elements of the analysis: server chassis size of 2RU at a cost of $2500 per chassis; internal storage $380; physical servers managed per admin: 30; fully burdened cost per admin $110500; server rack size of 42; space allowance per rack of 27 sq feet; monthly cost of data center space $20 per sq foot; cost per kW for power $0.12; power drop per rack of 12kW; and a PUE (power usage effectiveness) of 1.7.
The AMD EPYC powered solution is estimated to take 14 total 2P EPYC_7773X powered servers at a hardware only acquisition cost of $25984 per server, which includes $8800 per CPU, total system memory of 1024GB, which is 8GB of memory / core and a total system memory cost of $5504; internal storage cost of $380. The total estimated AMD EPYC hardware acquisition cost for this solution is $363776. Each server draws ~754kWhr per month. For the 3 years of this analysis the: EPYC total solution power cost is ~$77569 which includes the PUE factor; the total admin cost is ~$154701, and the total real estate cost is ~$38880 using 2 rack(s). The total 3-year TCO estimate for the EPYC solution is $609006.
The Intel based solution is estimated to take 20 total 2P Platinum_8380 powered servers at a hardware only acquisition cost of $25756 per server, which includes $8666 per CPU, total system memory of 1024GB, which is 12.8GB of memory / core and a total system memory cost of $5504; internal storage cost of $380. The total estimated Intel hardware acquisition cost for this solution is $515120. Each server draws ~751kWhr per month. For the 3 years of this analysis the: Intel total solution power cost is ~$110277 which includes the PUE factor; the total admin cost is ~$221001, and the total real estate cost is ~$38880 using 2 rack(s). The total 3-year TCO estimate for the Intel solution is $864912.
AMD EPYC powered servers have a $255906 or 30% lower 3-year TCO.
Delivering a minimum score of 26000 for Ansys® fluent-aw14 produces the following estimated results: the EPYC_7773X solution requires 30% fewer servers; takes 30% less RU space; 30% less power.
AMD EPYC_7773X powered servers save ~272563 kWh of electricity for the 3-years of this analysis. Leveraging this data, using the Country / Region specific electricity factors from the ‘2020 Grid Electricity Emissions Factors v1.4 – September 2020’, and the United States Environmental Protection Agency ‘Greenhouse Gas Equivalencies Calculator’, the AMD EPYC powered server saves ~123.53 Metric Tons of CO2 equivalents. This results in the following estimated savings based on United States data, for any one of the following:
Greenhouse Gas Emissions Avoided:
27 USA Passenger Cars Not Driven for 1 year; or
9 USA Passenger Cars Not Driven Annually; or
310433 Miles Driven by Avg Passenger Car; or
or CO2 Emissions Avoided from:
13959 Gallons of Gasoline Not Used; or
136502 Pounds of Coal Not Burned in USA; or
22 USA Homes’ Electricity Use for 1 year; or
7 USA Homes’ Electricity Use Annually; or
or Carbon Sequestered equivalent to:
2038 Tree Seedlings Grown for 10 years in USA; or
148 Acres of USA Forests in 1 year; or
49.41 Acres of USA Forests Annually.
The 2020 Grid Electricity Emissions Factors v1.4 – September 2020 data used in this analysis can be found at https://www.carbonfootprint.com/docs/2020_09_emissions_factors_sources_for_2020_electricity_v14.pdf and the US EPA Greenhouse Gas Equivalencies Calculator used in this analysis can be found at https://www.epa.gov/energy/greenhouse-gas-equivalencies-calculator.
Pricing per CPU is 1kU pricing for AMD and Intel published pricing at https://ark.intel.com/, January 2022. All pricing is in USD. All performance numbers are based on AMD internal testing, February 2022. AMD tests were run with pre-production B1 CPUs on AMD reference platforms. Intel tests were run on production platforms. Product and company names are for informational purposes only and may be trademarks of their respective owners.
Results generated by the: AMD EPYC™ AMD 3D V-Cache™ VALUE ANALYSIS & GHG TOOL: v3.10
[xi] S. Peasley, Cybersecurity for Smart Factories, Deloitte, https://www2.deloitte.com/us/en/pages/energy-and-resources/articles/smart-factory-cybersecurity-manufacturing-industry.html
[xii] S. Peasley, Cybersecurity for Smart Factories, Deloitte, https://www2.deloitte.com/us/en/pages/energy-and-resources/articles/smart-factory-cybersecurity-manufacturing-industry.html
[xiii] AMD Infinity Guard features vary by EPYC™ Processor generations. Infinity Guard security features must be enabled by server OEMs and/or Cloud Service Providers to operate. Check with your OEM or provider to confirm support of these features. Learn more about Infinity Guard at https://www.amd.com/en/technologies/infinity-guard. GD-183
[xiv] P. Wellener, B. Dollar, S. Laaper, Accelerating Smart Manufacturing, Deloitte, 21 October 2020, https://www2.deloitte.com/us/en/insights/industry/manufacturing/accelerating-smart-manufacturing.html
[xv] Plex, 7th Annual State of Smart Manufacturing Report, https://www.plex.com/resources/7th-annual-state-of-smart-manufacturing
