Amazon Web Services is launching its AWS Local Zone in Vietnam as part of its long-term investment commitment to the country’s digital transformation.
Eric Yeo, country general manager at AWS Vietnam, emphasised at a media briefing in Hanoi on February 19, “We will continue to support Vietnam’s digital transformation, expand our infrastructure, deepen our investment in skills development, and advance responsible AI adoption. Looking forward to the rest of 2025 and beyond, AWS remains committed to the long-term investment in Vietnam.”
According to Yeo, Vietnam’s digital landscape is evolving rapidly, driven by a remarkable entrepreneurial spirit. What sets Vietnam apart is its strong appetite for innovation, focus on customer experience enhancement, and eagerness to embrace cutting-edge technologies.
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Eric Yeo, country general manager at AWS Vietnam. Photo: AWS |
He elaborated that there are three pillars of AWS support in Vietnam: comprehensive technology solutions, skills development, and infrastructure and partnership investment. The company has a full spectrum of cloud services, customisable GenAI solutions, advanced infrastructure including new Trainium-2 Ultra servers, and the upcoming AWS Local Zone in Vietnam.
AWS Local Zone is infrastructure deployment that brings AWS compute, storage, databases, and other services at the edge of the cloud closer to major residential, industrial, and IT centres, enabling customers to bring applications that require sub-10 millisecond latency closer to end users or on-premises data centres.
AWS has trained over 50,000 people in Vietnam since 2017. Success stories included TechcomBank, which upskilled more than 2,800 employees through AWS Skills Guild, reduced provisioning time by 90 per cent, and accelerated market delivery.
Regarding infrastructure and partnership investment, AWS has been expanding its ASEAN presence with new regions in Thailand (launched January 2025) and Malaysia (launched August 2024), alongside its earlier commitment to launch an AWS Local Zone in Vietnam soon. These, say AWS, are part of its commitments to meet customer demands for low latency, improved performance, and help drive productivity gains for its customers. It is also growing its partner ecosystem in Vietnam, committing to local market development, while focusing on sustainability and responsible growth here.
The company reinforces its presence in the local market with the launch of new services or recent updates to support the public sector and the business community in their digital transformation.
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Hoang Hieu, senior manager of solutions architect, AWS Vietnam. Photo: AWS |
“These are all part of our efforts and commitments to accompanying customers around the world as well as in Vietnam,” said Hoang Hieu, senior manager of solutions architect, AWS Vietnam. “According to forecasts, in the next one to three years, AWS will have a huge opportunity to support customers by using newer, better, faster, and more accurate tools to build and develop their applications in this AI era.”
Many businesses have had success with AWS. For example, AI Hay, a Vietnamese startup, reaches 33 million unique monthly views with 80 per cent user satisfaction.
Elsewhere, Vietnam International Bank’s ViePro, the first AWS-powered GenAI banking assistant in Vietnam, projects a 40 per cent boost in customer service productivity, 20 per cent client base growth, and significant operational cost optimisation.
“In the banking sector, successful banks like Techcombank, VPBank, VIB, and PvcomBank have started to innovate,” Hieu said, adding, “We are seeing the public sector pick up as well. In the next one to two years, those sectors will have more distinct changes in access to products.”
New capabilities
Fully aware of the next technological leaps in AI capabilities that will deliver next-generation infrastructure, make data the backbone of innovation, and change the future of work, AWS is introducing new tools and services to meet growing demand.
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Image generated by Amazon Nova Canvas. Photo: AWS |
For instance, the US tech giant introduced Amazon Nova, with new state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova models will be available in Amazon Bedrock, and include Amazon Nova Micro, Amazon Nova Lite, Amazon Nova Pro, Amazon Nova Premier.
“All Amazon Nova models are fast, cost-effective and have been designed to be easy to use with a customer’s systems and data. Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro are at least 75 per cent less expensive than the best performing models in their respective intelligence classes in Amazon Bedrock. They are also the fastest models in their respective intelligence classes in Amazon Bedrock,” said Hoang Hieu.
AWS also strengthens Amazon Bedrock with an industry-first AI safeguard, agent orchestration capability, and advanced customisation option.
With the changing future of work, AWS has announced new capabilities for Amazon Q Developer, the most capable GenAI assistant for software development, that take the undifferentiated heavy-lifting out of complex and time-consuming application migration and modernisation projects, saving customers and partners time and money.
Amazon Q Business, Amazon Q in QuickSight, and generative AI-powered experiences in third-party applications, such as Asana and Zoom, can now work from the same canonical index of enterprise data. More than 50 new actions to automate tasks across applications are generally available now.
In next-generation infrastructure and silicon, AWS has announced the general availability of AWS Trainium2-powered Amazon EC2 instances, including introducing new Trn2 UltraServers, enabling customers to train and deploy today’s latest AI models as well as future large language models and foundation models with exceptional levels of performance and cost efficiency, and unveiled next-generation Trainium3 chips were in the pipeline.
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Image generated by Amazon Nova Canvas. Photo: AWS |
The company has also announced new data centre components to support AI innovation and further improve energy efficiency. “Our latest data centre design improvements include simplified electrical distribution and mechanical systems that enable infrastructure availability of 99.9999 per cent. The simplified systems also reduce the potential number of racks that can be impacted by electrical issues by 89 per cent,” said Hieu. “As data is the backbone of AI innovation in the digital development era, we have unveiled the next generation of Amazon SageMaker, delivering a unified platform for data, analytics, and AI.”
According to Hieu, the new SageMaker Unified Studio makes it easy for customers to find and access data from across their organisation and bring together purpose-built AWS analytics, machine learning, and AI capabilities.
With SageMaker Catalog, administrators can define and implement consistent access policies using a single permission model with granular controls, while data workers from across teams can securely discover and access approved data and models enriched with business context metadata created by GenAI.
Meanwhile, SageMaker Lakehouse provides unified access to data stored in Amazon S3 data lakes, Redshift data warehouses, and federated data sources, reducing data silos and making it easy to query data, no matter how and where it is physically stored.
AWS also announced new Amazon SageMaker HyperPod capabilities, helping customers remove undifferentiated heavy lifting across the AI development lifecycle, saving weeks of model training time with flexible training plans, and maximise compute resource utilisation to reduce costs by up to 40 per cent.
The company enhanced capabilities for Amazon DynamoDB, Amazon Aurora, and Amazon S3 to support customers’ most demanding workloads. It announced new capabilities for Amazon Aurora and Amazon DynamoDB to support customers’ most demanding workloads that need to operate across multiple Regions with strong consistency, low latency, and the highest availability whether they want SQL or NoSQL.
Amazon Aurora is a cloud-native relational database that delivers all the performance and capability of a high-end commercial database, with the flexibility and cost-effectiveness of an open-source database.
AWS announced new Amazon S3 features that make S3 the first cloud object store with fully managed support for Apache Iceberg for faster analytics and the easiest way to store and manage tabular data at any scale.