A More Efficient, Innovative and Greener 11.11 Runs Wholly on Alibaba Cloud
14.11.2022 05:42:00 EET | Business Wire | Press release
Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, has once again excelled in its mission of supporting the group’s 11.11 Global Shopping Festival, thanks to its high-performance computing and innovative technology. Drawing on self-developed infrastructure upgrades, the group saw an 8% year-on-year saving in computing cost per resource unit from April 1 to November 11.
“The breadth and depth of cloud technology deployment during this year’s 11.11 has once again showcased Alibaba’s best cloud and technology practice; be it through fundamental architecture like self-proprietary technology powering high-performance computing and database products, or consumer-facing XR (extended reality) and livestreaming technologies. We intend to continue applying these proven capabilities to even better serve our customers and help them to be more efficient, innovative and greener in their own digital transformation journeys,” said Li Cheng, Chief Technology Officer (CTO) of Alibaba Group.
Doing more with less through cloud-native and serverless innovations
This year’s 11.11 was powered by Alibaba Cloud’s dedicated processing unit for the Apsara Cloud operating system. The upgraded infrastructure system, significantly improved efficiency of computing, storage and network in data centers supporting the event, while also reducing network latency. For example, with this new upgrade supported by cloud-native technology, ordering, pre-sale balance payment and refunding could be launched simultaneously with an enhanced scalability and lower latency.
During this year’s 11.11, the front page of Taobao, one of Alibaba’s e-commerce platforms, was upgraded by the latest serverless technology, allowing for automatic scaling with extreme elasticity based on actual workloads.
Alibaba Cloud’s cloud-native database products also significantly expanded the capacity of consumers’ shopping carts by more than a double, from 120 items to 300. The ApsaraDB for Redis Enhanced Edition (Tair), a cloud-based in-memory database service for enterprises, supports new functions such as product grouping and sorting, enabling consumers to organize their shopping cart according to their own preferences. They could also make use of the ‘select’ function to enjoy cross-merchant discounts, to pre-order goods and use vouchers for a more rewarding shopping experience.
Innovative technology delivers more immersive consumer experience
A more immersive shopping experience was created this year thanks to Alibaba’s proprietary technology in supporting extended reality. Alibaba’s technology in 3D modeling leverages a neural radiance field (NeRF), a neural network technology for generating novel views of complex 3D scenes. During this year’s 11.11, it assisted luxurious retail and furniture brands, like Burberry, Estee Lauder and SK-II, to build virtual stores on the e-commerce platform Tmall.
Through self-developed 3D renderings that realistically represent natural light, flames and natural flowing water, an outdoor nature scene was built for sportswear brands including Descente (Japan), to showcase its latest products in a vibrant and invigorating environment. Consumers can also view the products in three dimensions, enabling them to inspect details up close, or try on their chosen watches and accessories virtually thanks to AR technologies. Consumers are also free to arrange different items of furniture indoors, or tents for outdoor camping.
Another new expressive interaction came from an XR-powered marketplace on Tmall and Taobao. Using the automatic 3D space creation technology from Alibaba’s research institute DAMO Academy, a virtual shopping street was built, featuring over 700 products from 70 brands including 30 internationally-recognized franchises, such as Sanrio’s iconic Hello Kitty, and Hollywood’s franchise Minions. Shoppers can choose their own avatars, check out the products and place them in their virtual shopping carts.
During this year’s 12-day festival from October 31 to November 11, nearly 2 million packages were delivered by Xiaomanlv vehicles, Alibaba’s last-mile logistics vehicle. This is double the package delivery volume from the same period last year. The logistics robot was deployed in over 400 campuses across China, which has greatly reduced the time of queuing for package deliveries during peak hours.
A greener 11.11 powered by clean energy
In addition to its cloud computing solutions helping to reduce energy consumption, Alibaba Cloud’s five hyper-scale data centers across China also doubled the amount of clean energy used to support this year’s 11.11 compared to last year. More than 32 million kilowatt-hours of electricity used by Alibaba Cloud to support 11.11 this year came from renewable energy, up by 30% on a daily basis average compared to last year. Additionally, Alibaba Cloud's Heyuan data center, the cloud company’s largest hyper-scale data center in South China, now runs entirely on clean energy. Alibaba Cloud’s self-developed immersion cooling technology has reduced the energy consumption of the data centers, with power usage effectiveness (PUE) reaching as low as 1.09 - a world-leading level.
Alibaba Cloud has also worked with Tmall to leverage the carbon management platform, Energy Expert. It provided online carbon footprint modeling, calculations and certifications for more than 40 brands in various sectors, including paper & pulp, food and personal care, to help them categorize low-carbon products, identify carbon emission resources and conduct informed sustainability practices to reduce carbon emissions.
About Alibaba Cloud
Established in 2009, Alibaba Cloud (www.alibabacloud.com) is the digital technology and intelligence backbone of Alibaba Group. It offers a complete suite of cloud services to customers worldwide, including elastic computing, database, storage, network virtualization services, large-scale computing, security, management and application services, big data analytics, a machine learning platform and IoT services. Alibaba maintained its position as the third leading public cloud IaaS service provider globally since 2018, according to IDC. Alibaba is the world’s third leading and Asia Pacific’s leading IaaS provider by revenue in U.S. dollars since 2018, according to Gartner.
To view this piece of content from cts.businesswire.com, please give your consent at the top of this page.
View source version on businesswire.com: https://www.businesswire.com/news/home/20221113005119/en/
Contact information
Xiaoyi Shao
Alibaba Group
+86 18658170996
shaoxiaoyi.sxy@alibaba-inc.com
About Business Wire
For more than 50 years, Business Wire has been the global leader in press release distribution and regulatory disclosure.
Subscribe to releases from Business Wire
Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from Business Wire
IQM and Zurich Instruments Launch Real-Time Quantum Error Correction Demonstrator with NVIDIA NVQLink16.3.2026 23:24:00 EET | Press release
Today, IQM Quantum Computers and Zurich Instruments announce a joint project to build and operate a real-time quantum error correction (QEC) demonstrator, enabled by the NVIDIA NVQLink platform. This project marks a significant milestone toward scalable and fault-tolerant quantum computing designed for enterprise and datacenter deployment. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260316511715/en/ IQM and Zurich Instruments launch real-time quantum error correction demonstrator with NVIDIA NVQLink As enterprises and public institutions worldwide move from quantum exploration to long-term deployment, the challenge has evolved beyond simply accessing quantum hardware. The focus is now on reliably operating quantum computers, seamlessly integrating them into existing compute infrastructure, and scaling them toward fault tolerance. The announced project directly addresses these needs by focusing on full-system integration f
NetApp Accelerates Momentum in AI Leadership with NVIDIA16.3.2026 22:30:00 EET | Press release
NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced enhancements to its enterprise-grade data platform, enabling customers to remove roadblocks to AI innovation. In addition to supporting the latest innovations from NVIDIA announced at GTC, NetApp is launching NetApp AI Data Engine (AIDE)—a secure, unified AI data platform stack co-engineered with NVIDIA and integrated with the NVIDIA AI Data Platform reference design. A foundational challenge for AI is enabling enterprises to discover, understand, and govern the data they have across their global data estates. If data is AI’s fuel, finding and using the best data is essential to making truly transformative AI. NetApp AIDE helps enterprises solve this need through an automatically created—and continuously updated—global metadata catalog with powerful search capabilities. Critically, the NetApp AIDE metadata catalog goes beyond standard file system metadata and actively analyzes file content to semantica
Lenovo Brings Production-Scale AI to Global Sports: Enhancing Fan Experience, Driving Revenue Growth, Boosting Performance, and Improving Operational Efficiency with NVIDIA16.3.2026 22:30:00 EET | Press release
At NVIDIA GTC today, Lenovo (HKSE: 992) (ADR: LNVGY) announced an expanded multiyear collaboration with NVIDIA to help the global sports industry deploy production-scale AI across mission-critical environments, transforming live data into revenue growth, operational resilience, and real-time decision advantage. The global sports technology market is projected to grow from $23 billion in 2025 to more than $60 billion by 2030. Global sports events represent some of the most complex and demanding operating environments in any industry, combining unprecedented scale, technical sophistication, and public visibility. These events engage billions of viewers worldwide, generate and process petabytes of data in real time, and require highly coordinated, distributed operations across multiple countries, all within a context where reliability, resilience, and uninterrupted performance are non-negotiable. Scaling AI across this ecosystem requires validated infrastructure, domain-trained intelligen
Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge16.3.2026 22:30:00 EET | Press release
Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. Announced at the NVIDIA GTC 2026, Lattice will engage with NVIDIA and other Halos ecosystem members to build Halos-certified Holoscan Sensor Bridge-based designs for physical AI and to help shape best practices as the industry evolves. “Physical AI is rapidly moving from controlled environments into the real world, where safety, reliability, and trust are paramount,” said Raemin Wang, Vice President, Segment Marketing, Lattice Semiconductor. “Through this collaboration, Lattice looks forward to contributing our expertise in low power FPGAs and award-winning solution stacks to enable scalable, trusted physical AI systems across robotics, industrial automation, and autonomous applications.” NVIDIA Halos is a comprehensive full
Kinaxis Advances Large-Scale Supply Chain Optimization with NVIDIA AI16.3.2026 22:30:00 EET | Press release
Kinaxis® Inc. (TSX: KXS), a global leader in supply chain orchestration, today announced a new milestone in advancing large-scale supply chain optimization within the Kinaxis Maestro™ platform. Maestro already delivers high-performance optimization across complex global supply chains, and Kinaxis is now extending that leadership by leveraging GPU acceleration powered by NVIDIA cuOpt™ and NVIDIA AI infrastructure. As supply chains grow in scale and complexity, planning models must reconcile tens of millions of variables across extended time horizons and multiple planning levels. As model size expands, the number of potential decisions can scale into billions, dramatically increasing computational needs. Organizations are no longer constrained by insight alone. They are constrained by how quickly they can iterate. In testing on a large-scale semiconductor planning model with nearly 50 million decision variables, Kinaxis achieved up to a 12X reduction in total end-to-end calculation time.
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom
