Training machine learning foundation models with sometimes billions of parameters demands serious computing power. For example, the largest version of GPT-3, the famous large language model behind OpenAI’s DALL-E 2, has 175 billion parameters and needs truly powerful hardware. The model was trained on an AI supercomputer developed by Microsoft specifically for OpenAI that contains over 285,000 CPU cores, 10,000 GPUs, and 400gb/s InfiniBand networking.
These bespoke high performance computing systems are expensive and often out of reach for those outside a datacenter or research facility. Researchers at IBM and PyTorch are looking to change that.
IBM announced it has been collaborating with a distributed team within PyTorch, the open-source ML platform run by the Linux Foundation, to enable training large AI models on affordable networking hardware such as Ethernet. Additionally, the company has built an open source operator for optimizing PyTorch deployments on Red Hat OpenShift on IBM Cloud.
Using PyTorch’s FSDP, an API for data-parallel training, the team successfully trained models with 11 billion parameters across a multi-node, multi-GPU cluster using standard ethernet networking on IBM cloud. IBM says this method of training models with 12 billion or fewer parameters is 90% more efficient than pricey HPC networking systems.
“Our approach achieves on-par efficiency training models of this size as HPC networking systems, making HPC networking infrastructure virtually obsolete for small and medium-scale AI models,” said Mike Murphy, a research writer for IBM in a company blog post.
Murphy describes the infrastructure used for this work as “essentially off-the-shelf hardware” that runs on the IBM Cloud and consists of 200 nodes, each with eight Nvidia A100 80GB GPUs, 96 vCPUs, and 1.2TB CPU RAM. The GPU cards within single nodes are connected via NVLink with a card-to-card bandwidth of 600gb/s, and nodes are connected by two 100gb/s Ethernet links with an SR-IOV-based TCP/IP stack, which Murphy says provides a usable bandwidth of 120gb/s (though he notes for the 11B model, researchers observed peak network bandwidth utilization of 32gb/s).
This GPU system, configured with OpenShift, has been running since May. Currently, the research team is building a production-ready software stack for end-to-end training, tuning, and inference of large AI models.
Though this research was conducted with an 11 billion parameter model instead of a model of GPT-3’s size, IBM hopes to scale this technology for larger models.
“We believe this approach is the first in the industry to achieve scaling efficiencies for models with up to 11 billion parameters that use Kubernetes and PyTorch’s FSDP APIs with standard Ethernet,” said Murphy. “This will allow researchers and organizations to train massive models in any cloud in a far more cost-efficient and sustainable way. In 2023, the goal of the joint team is to continue scaling this technology to handle even larger models.”
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Historical year – 2017-2022E
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IBM, as part of its continued efforts toward prioritizing its ecosystem partners, is announcing new SaaS offerings, consulting capabilities, and expanded mainframe application modernization in collaboration with AWS to enhance the experiences of both partner and client alike. Dedicated to adapting to the evolving needs of modern industry, IBM and AWS continue to collaborate to provide solutions focused on being essential in—and supportive of—their partners’ business endeavors.
“Today’s clients demand more specialized solutions and services—faster, more efficient, and tailored to their preferred ways of engaging,” said Kate Woolley, general manager for IBM Ecosystem. “We know those needs can’t be fulfilled by one vendor alone, which makes the role of partnerships essential to delivering the kind of innovation clients require to succeed in today’s IT environment. This reality inspired IBM to double down on our ecosystem and work more closely with partners to help us meet each client where they are on their modernization journey.”
Building from their previously announced initiative towards reselling IBM software on the AWS Marketplace, IBM and AWS are launching a series of services, including IBM Envizi ESG Suite, IBM Planning Analytics with Watson (beta), IBM Content Services, and IBM App Connect Enterprise running SaaS on AWS, to enhance performance, efficiency, and user experience. Targeting enhanced data, planning, and analytics for a variety of industry use cases, these additions are available today in the U.S., with expected expanded availability in the next year.
This announcement also highlights the new IBM Consulting Platform Services Offering, providing better business outcomes of clients’ enterprise applications in AWS environments through AI and automation. The service aims to lower costs, increase resiliency, accelerate problem resolution, and make operations smarter throughout clients’ migration and modernization journeys, while simultaneously laying the groundwork for IBM and AWS’s AIOps and observability software options expected in 2023.
“The new IBM Consulting Platform Services offering is designed to enable better outcomes for our clients’ enterprise applications in AWS environments,” continued Woolley. “By simplifying and overseeing the IT landscape, this new joint solution increases application reliability and automates issue resolution quickly, while optimizing costs that drive client and brand satisfaction.”
In an effort to expand mainframe application modernization support, IBM zSystems clients will benefit from the IBM Z and Cloud Modernization Stack being now available through the AWS Marketplace. Clients will be able to modernize applications more efficiently, while reducing cost expenditures as part of a hybrid cloud strategy.
“By integrating the mainframe with AWS, we are providing a digital platform to support our mutual clients’ business transformation initiatives. With IBM zSystems, clients can take advantage of a cost-efficient, ultra-high resilience, and secure transaction environment that is scalable, while leveraging the breadth of the cloud services AWS has to offer,” explained Woolley.
To learn more about IBM and AWS’ ongoing expansion of their joint services and offerings, please visit https://www.ibm.com/us-en?ar=1 or https://aws.amazon.com/.
LODZ, Poland and BANGALORE, India, Nov. 14, 2022 /PRNewswire/ -- Infosys BPM, the business process management arm of Infosys (NSE: INFY) (BSE: INFY ) (NYSE: INFY), today launched the Center of AI and Automation, in collaboration with IBM, at the Infosys Business Experience Lounge in Poland, to bring digital excellence to enterprises globally. This announcement underscores two years of strong collaboration between Infosys BPM and IBM, delivering client success, identifying new use cases, and building solutions, to enable clients to innovate in hybrid cloud environments.
Formed in collaboration with IBM, this center will showcase a growing portfolio of data and AI solutions that are designed to automate and accelerate the hybrid cloud journey of global enterprises. The center will complement Infosys BPM service offerings that are built with a design thinking approach and deep domain expertise in data and AI technologies. The center launch also commemorates the 15th anniversary of Infosys BPM in Poland.
Focusing on a comprehensive suite of solutions, the experience center is well-positioned to be an innovation powerhouse, enabling enterprises to address complex business process challenges at scale across domains and industries. The center will showcase AI and automation solutions for business processes, and these solutions, including through automation, help lower costs, enhance productivity, and elevate customer experience.
End-to-end automation capabilities, backed by credible data and insights, will empower enterprises to analyze workflows, design AI-infused apps with low-code tooling, assign tasks to bots, and track performance on the go. Clients will get hands-on access to various digital solution offerings across the space of data, AI, and hyperautomation, such as IBM CloudPak for Data, IBM Watson Assistant & IBM Watson Discovery, IBM SaferPayments, IBM Blockchain, IBM Sterling Supply Chain, IBM Risk and Fraud Detection software, and Envizi for Sustainability, along with key solutions from Infosys BPM, including Infosys Intelligent Document Processing, Infosys Interaction Analytics, Infosys Multilingual Conversational AI, Infosys Accounts Payable on Cloud, Infosys Cortex, Infosys Material Master Harmonization, and Infosys Data Workbench, among many others.
Marcin Gajdziński, Country General Manager, IBM Poland and Baltics, said, "IBM is focused on providing clients and valued partners such as Infosys the key capabilities needed to scale AI for business. As evidence of the importance of the IBM Ecosystem strategy, the newly opened Center of AI powered by IBM Watson in Lodz, Poland, will provide our joint clients significant support in building the digital economy, as well as new skills and expertise in the field of AI and hybrid cloud."
Kapil Jain, Executive Vice President and Global Head of Sales and Enterprise Capability, Infosys BPM, said, "We are proud to launch the Center of AI and Automation at the Infosys Business Experience Lounge in Poland. As organizations continue to transform their cloud environments, they will increasingly need to rely on a diverse ecosystem of partners and supporting technologies to unlock enhanced hyper-productivity, agility, and scale. This collaboration with IBM Watson, through end-to-end hybrid cloud offerings, robust AI capabilities, domain-specific use cases, and business functional contextualization, will enable organizations to better navigate the complexities of digital transformation, leading to enhanced business value."
About Infosys BPM
Infosys BPM Limited, a wholly owned subsidiary of Infosys Limited (NYSE: INFY), was established in April 2002. We offer integrated end-to-end transformative business process management (BPM) services and have journeyed through the table stakes of effectiveness and efficiency with an ever-increasing focus on enhancing stakeholder experience and empathy. We enable clients to navigate their digital journey, operating from 35 delivery centres across 14 countries, with over 56,700 people from 125 nationalities.
Visit www.infosysbpm.com to learn how Infosys BPM can help your enterprise navigate your next.
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in more than 50 countries, as they navigate their digital transformation powered by the cloud. We enable them with an AI-powered core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Visit www.infosys.com to see how Infosys (NSE: INFY) (BSE: INFY ) (NYSE: INFY)can help your enterprise navigate your next.
"Certain statements in this release concerning our future growth prospects, financial expectations and plans for navigating the COVID-19 impact on our employees, clients and stakeholders are forward-looking statements intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause genuine results to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding COVID-19 and the effects of government and other measures seeking to contain its spread, risks related to an economic downturn or recession in India, the United States and other countries around the world, changes in political, business, and economic conditions, fluctuations in earnings, fluctuations in foreign exchange rates, our ability to manage growth, intense competition in IT services including those factors which may affect our cost advantage, wage increases in India and the US, our ability to attract and retain highly skilled professionals, time and cost overruns on fixed-price, fixed-time frame contracts, client concentration, restrictions on immigration, industry segment concentration, our ability to manage our international operations, reduced demand for technology in our key focus areas, disruptions in telecommunication networks or system failures, our ability to successfully complete and integrate potential acquisitions, liability for damages on our service contracts, the success of the companies in which Infosys has made strategic investments, withdrawal or expiration of governmental fiscal incentives, political instability and regional conflicts, legal restrictions on raising capital or acquiring companies outside India, unauthorized use of our intellectual property and general economic conditions affecting our industry and the outcome of pending litigation and government investigation. Additional risks that could affect our future operating results are more fully described in our United States Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended March 31, 2022. These filings are available at www.sec.gov. Infosys may, from time to time, make additional written and oral forward-looking statements, including statements contained in the Company's filings with the Securities and Exchange Commission and our reports to shareholders. The Company does not undertake to update any forward-looking statements that may be made from time to time by or on behalf of the Company unless it is required by law."
For more information, please contact: PR_Global@Infosys.com
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