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NVIDIA and AWS plan to deploy 2 million additional GPUs globally by 2028

NVIDIA Corp and Amazon Web Services (AWS) will deploy 2 million extra NVIDIA GPUs across AWS’s global cloud infrastructure by 2028, the companies said on Thursday, a jump that underscores the breakneck pace of demand for AI compute.

Source: NVIDIA Newsroom · August 26, 2026 at 9:31 PM · AI-assisted report

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NVIDIA and AWS plan to deploy 2 million additional GPUs globally by 2028
Image: nvidianews.nvidia.com

KUALA LUMPUR, MALAYSIA, SOUTHEAST ASIA, 27 AUGUST 2026 —

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AWS and NVIDIA to Deploy 2 Million Additional GPUs in Malaysia-Bound AI Infrastructure Push

KUALA LUMPUR, Aug 26 — Amazon Web Services (AWS), a subsidiary of Amazon.com Inc. (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today unveiled a landmark expansion of their long-standing partnership, pledging to deploy an additional 2 million NVIDIA GPUs across AWS’s global infrastructure by 2027–2028.

The move underscores the accelerating demand for AI infrastructure in Malaysia and across Southeast Asia, where enterprises, startups, and government agencies are rapidly scaling AI adoption for agentic systems, scientific discovery, enterprise automation, and emerging physical AI applications.

The collaboration, now in its 16th year, will see the deployment of next-generation NVIDIA Blackwell Ultra, Rubin, and Rubin Ultra GPUs, alongside expanded support for NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs within Amazon EC2 G7 instances. According to AWS, these instances deliver 4.6 times faster AI inference performance and 2.1 times improved graphics performance compared to previous-generation G6 instances, positioning Malaysia as a key node in AWS’s global AI factory network.

“Customers want the freedom to choose the best tools for their AI workloads, and they want confidence that everything works seamlessly together,” said Matt Garman, CEO of AWS. “This expanded collaboration gives frontier labs, enterprises, and governments even more ways to build and deploy AI on AWS—optimizing performance across networking, security, and deployment.”

Jensen Huang, founder and CEO of NVIDIA, emphasized the scale of demand outpacing prior forecasts. “For 16 years, we have scaled NVIDIA computing in the cloud together,” Huang said. “Now, we are expanding our partnership across the full stack—GPUs, CPUs, networking, open models, and software—to make agentic and physical AI real at an unprecedented pace and scale that only AWS and NVIDIA can deliver.”

Regional Impact: Malaysia and Southeast Asia in Focus

The announcement comes at a critical juncture for Malaysia’s digital economy, which has seen rapid growth in AI adoption across sectors such as manufacturing, healthcare, and financial services. AWS’s expanded GPU deployment—part of a broader push to enhance AI compute capacity in the Asia-Pacific region—will enable Malaysian enterprises to accelerate AI model training and inference at scale.

AWS currently operates multiple Availability Zones in Malaysia, including in the Kuala Lumpur region, supporting local businesses in sectors like banking, logistics, and smart cities. The additional GPU capacity is expected to further reduce latency and improve performance for AI workloads, particularly for applications requiring real-time decision-making, such as autonomous systems and predictive maintenance.

Industry analysts note that the collaboration aligns with Malaysia’s MyDIGITAL initiative, which aims to position the country as a regional leader in digital transformation. “The deployment of 2 million additional GPUs globally, including in Malaysia, will lower the barrier to entry for AI innovation,” said a spokesperson from the Malaysia Digital Economy Corporation (MDEC). “This infrastructure expansion will empower local startups and enterprises to compete on a global scale.”

Technical Enhancements and Co-Engineered Solutions Beyond raw compute power, AWS and NVIDIA are deepening their collaboration across multiple layers of the AI stack. This includes the integration of NVIDIA Spectrum networking to optimize large-scale AI training workloads, as well as the introduction of NVIDIA Vera CPUs on AWS, designed to support agentic AI workloads that require high-performance CPU compute alongside accelerated infrastructure.

Additionally, the companies are expanding support for NVIDIA NVLink Fusion and NVHBM (high-bandwidth memory) technology, which will enhance memory efficiency and performance for AI workloads. These advancements are particularly relevant for Malaysia’s growing robotics and automation sectors, where high-throughput data processing is critical.

AWS also announced plans to offer NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs in Amazon EC2 G7 instances, marking the first major cloud provider to do so. These instances are expected to deliver significant performance gains for graphics-intensive and AI inference workloads, benefiting industries such as gaming, media, and simulation.

Security and Government AI Initiatives In a separate but related development, AWS and NVIDIA plan to build AI factories for U.S. government agencies, with a commitment to deliver 100,000 GPUs on AWS’s secure infrastructure for federal and national-security workloads. While this initiative is focused on the U.S., the underlying security frameworks and compliance standards are expected to influence global deployments, including in Malaysia, where government agencies are increasingly adopting AI for public sector applications.

AWS’s infrastructure in Malaysia already supports workloads at high security levels, and the expanded collaboration is likely to reinforce these capabilities. “Security remains a top priority for AI deployments in Malaysia, especially as organizations move from pilot projects to production environments,” said a cybersecurity expert from a leading Malaysian tech firm. “The integration of NVIDIA’s AI stack with AWS’s secure infrastructure will provide the trust and reliability needed for mission-critical applications.”

Stakeholder Perspectives: Industry and Analyst Reactions Industry leaders in Malaysia welcomed the announcement, highlighting the potential for accelerated innovation and cost efficiencies. “The deployment of 2 million additional GPUs will democratize access to cutting-edge AI infrastructure, enabling Malaysian businesses to develop and deploy AI solutions without the need for massive upfront capital investments,” said a senior executive from a local cloud services provider.

Analysts from IDC Malaysia noted that the collaboration could spur further investment in AI research and development across the region. “This partnership will not only enhance compute capacity but also foster ecosystem growth, including talent development and startup acceleration,” said an IDC spokesperson. “Malaysia stands to benefit from the increased availability of high-performance AI infrastructure.”

Meanwhile, NVIDIA’s focus on agentic AI—systems capable of autonomous decision-making—and physical AI—AI integrated with real-world robotic systems—aligns with Malaysia’s push toward Industry 4.0 and smart manufacturing. The country’s National AI Roadmap 2.0 emphasizes the importance of AI in driving productivity and innovation, and the AWS-NVIDIA collaboration is expected to provide the necessary infrastructure backbone.

Forward-Looking: A New Era of AI Infrastructure Looking ahead, the expanded partnership between AWS and NVIDIA is poised to redefine the AI landscape in Malaysia and Southeast Asia. With the deployment of next-generation GPUs and co-engineered solutions, organizations across sectors will gain access to unprecedented compute power, enabling faster model training, more efficient inference, and the development of advanced AI applications.

The collaboration also signals a shift toward more heterogeneous AI infrastructure, where CPUs, GPUs, and custom silicon work in tandem to meet diverse workload demands. For Malaysia, this means greater flexibility in adopting AI technologies tailored to local needs, from smart agriculture to healthcare diagnostics.

As the AI race intensifies globally, the AWS-NVIDIA partnership underscores the importance of scalable, secure, and high-performance infrastructure. For Malaysian businesses and government agencies, the timing could not be better—aligning with national digital transformation goals and positioning the country as a competitive hub for AI innovation in the region.

Details on specific deployment timelines for Malaysia and regional availability remain under development, with AWS and NVIDIA expected to provide further updates in the coming quarters.

Malaysia Impact

8/10

The deployment of 2 million additional GPUs in Malaysia will enhance AI infrastructure, reducing latency and improving performance for AI workloads, particularly in sectors like banking, manufacturing, and smart cities.

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Reporting based on NVIDIA Newsroom. Figures and claims are subject to revision as the story develops. DomainFork publishes editorial context, not investment advice — see our editorial standards.