Home Tech Samsung SDS Launches NPUaaS: How AI Semiconductor Revolutionizes Cloud Services in 2026

Samsung SDS Launches NPUaaS: How AI Semiconductor Revolutionizes Cloud Services in 2026

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/ Samsung SDS
/ Samsung SDS

Samsung SDS has launched an infrastructure service featuring domestically developed artificial intelligence (AI) semiconductors, aiming to expand its proprietary AI technology ecosystem.

On Monday, Samsung SDS unveiled its NPU as a Service (NPUaaS), a cloud service based on Furiosa AI’s second-generation neural processing unit (NPU), now integrated into the Samsung Cloud Platform (SCP).

Furiosa AI’s second-generation NPU, dubbed Renegade (RGND), is a homegrown NPU tailored for AI inference. It outperforms GPUs in energy efficiency and cost-effectiveness when applying pre-trained AI models to real-world applications such as response generation, document analysis, and image recognition.

While NPUs, hailed as next-generation AI semiconductors, are less versatile than graphics processing units (GPUs) capable of both training and inference, they are seen as a promising infrastructure solution. Their ability to deliver high inference performance with low power consumption could overcome the limitations of costly GPU-centric AI architectures.

This new service allows corporate clients to access NPU servers through SCP on a subscription basis, eliminating the need for direct purchases or in-house data center installations. Clients can also scale NPU resources to match their specific demands and data volumes.

By expanding its offerings to include NPU-based computing resources alongside existing GPU-based cloud services, Samsung SDS aims to broaden AI infrastructure options. This initiative is expected to drive the adoption of domestically developed NPU-based AI infrastructure and contribute to the establishment of sovereign AI capabilities.

Lee Ho-jun, Vice President and Head of the Cloud Services Division at Samsung SDS, emphasized that the introduction of NPUaaS goes beyond launching a new cloud product. It represents a significant step in enabling the customers to leverage high-performance AI technology with greater flexibility and cost-efficiency.

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