Ferrari Selects AWS as Its Official Cloud, AI Provider

June 20, 2021

SEATTLE, June 20, 2021 — Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company, announced that it has entered into an agreement with Ferrari S.p.A. to become their Official Cloud, Machine Learning, and Artificial Intelligence Provider. Together, the companies will accelerate the pace of innovation across the entire Ferrari organization, including their road cars department, GT Competitions, the Ferrari Challenge, and the Scuderia Ferrari FORMULA 1 (F1) team. Ferrari will use AWS’s breadth and depth of services and proven global infrastructure, including the AWS Europe (Milan) region, to streamline design and testing of its cars, giving customers the most exciting driving experiences possible. In addition, Scuderia Ferrari will leverage AWS to launch a digital fan engagement platform, via its mobile app, to engage hundreds of millions of fans worldwide with exclusive, personalized content.

“Ferrari and AWS both represent excellence in their fields. As our Official Cloud Provider, I firmly believe AWS will enable our company to become a data-driven organization that uses the power of technology to improve our products, increase engagement with Ferrari enthusiasts worldwide, and deliver continuously more exciting driving experiences,” said Mattia Binotto, Principal of Scuderia Ferrari. “We chose AWS because of their relentless focus on innovation, unmatched portfolio of capabilities, and proven experience supporting partners in the automotive and sports industries. Throughout our storied history, Ferrari has had racing and innovation at our core, and now we look forward to applying AWS machine learning, advanced analytics, and high performance computing across the company to deliver deeper insights and even more powerful cars.”

As a manufacturer of some of the world’s highest-performing cars, Ferrari will rely on AWS’s advanced analytics, machine learning, compute, storage, and database capabilities to rapidly achieve insights into car design and performance on the road and track. Ferrari will leverage Amazon Elastic Compute Cloud (Amazon EC2), with a range of specialized instance types for efficient high performance computing (HPC), to run complex simulations that test car performance under a wide variety of driving conditions and racing scenarios. As part of this work, Ferrari will use AWS Graviton2-based instances—which consistently deliver up to 40% better price performance over comparable current generation x86-based instances. Further, by tapping into the virtually unlimited scale of AWS HPC resources, Ferrari can run thousands of simulations concurrently to gain insights far faster than ever before possible running simulations in an on-premises environment. As a result, the company’s engineers can pursue an agile approach to experimentation with new designs and strategies to accelerate their pace of innovation.

As Ferrari moves from simulation to assembly of its new road vehicle prototypes, it will apply AWS analytics and Amazon SageMaker (AWS’s service that helps developers and data scientists build, train, and deploy machine learning models quickly in the cloud and at the edge) to inform testing and gain deeper insights into how its parts and cars perform under real world conditions. To support this work and its simulations, Ferrari will build a data lake with Amazon Simple Storage Service (Amazon S3) and use AWS Lake Formation to quickly and securely gather, catalog, and clean hundreds of petabytes of data. Ferrari will examine factors that impact car performance and driver handling, such as engine temperature at different vehicle speeds, vehicle vibration patterns on different road surfaces, and suspension loads that affect how the vehicle grips the road. Using AWS services to gain a holistic view of car performance, Ferrari can deliver their customers driving experiences that are more thrilling, but also safer and more reliable.

Ferrari will also leverage AWS to make it easier for current and prospective customers to build, purchase, and maintain their cars. Using Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon DynamoDB (AWS’s fully managed key-value database), Ferrari will be able to quickly create, deploy, and scale improved digital experiences such as the Ferrari Car Configurator. Consumers can use the Configurator to custom-build their car and then immerse themselves in it using high-resolution 2D and 3D visualizations. AWS will also power Ferrari’s Vehicle Information Hub that centralizes and manages customers’ car information, providing them with proactive, personalized information related to servicing and maintenance.

In addition, for F1 racing fans, Scuderia Ferrari will use AWS compute, containers, and media services to power a new digital fan engagement platform via its mobile app that will inform, educate, and entertain their fans. Upon creating customized profiles, fans will receive exclusive content such as virtual access to the Scuderia Ferrari garage and hospitality suite on race days. Moving forward, Ferrari plans to build virtual and augmented reality experiences on AWS that bring fans into the garage to interact with drivers and team personnel. Ferrari will also build a virtual fan community among the app’s millions of users and engage fans with app-based quizzes on race days.

“AWS offers iconic global brands like Ferrari the breadth of services, insights, and agility they need to remain leaders in their fields through innovation and deepen their connections to loyal customers and fans,” said Matt Garman, Senior Vice President of Sales and Marketing at Amazon Web Services, Inc. “Ferrari can rely on AWS to help them take driving and racing to the next level, while generating fresh excitement among their global community through more personalization and new digital experiences. What’s more, as their Official Cloud Provider, we look forward to helping Scuderia Ferrari maintain their record as the world’s greatest racing team.”

For more information about AWS’s work with Scuderia Ferrari, please visit www.aws.amazon.com/sports.

About Amazon Web Services

For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 81 Availability Zones within 25 geographic regions, with announced plans for 21 more Availability Zones and seven more AWS Regions in Australia, India, Indonesia, Israel, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.


Source: Amazon Web Services

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire