AI Cloud Giant Lambda Plans to Raise an Additional 480 Billion KRW Before Going Public... Will It Become a "Game Changer in the NVIDIA Ecosystem"?

AI-powered cloud infrastructure startup Lambda is reportedly advancing a new funding round of up to 4.8 trillion KRW. Mubadala Capital is considered the main potential lead investor in this round, which is noteworthy because it could be Lambda’s final private placement before going public. Following the successful completion of a $12 billion Series E funding just two months ago, Lambda’s consecutive large-scale financings are driven by its aggressive expansion strategy aimed at dominating the AI cloud market.

Lambda currently operates 12 data centers in the United States. Through its “Super Cluster” GPU leasing service, it can provide enterprise clients with up to 165,000 NVIDIA GPUs. The service allows each customer to configure firewall policies independently, manage encryption keys, and monitor tools, aiming to achieve high security and scalability simultaneously.

In terms of hardware configuration, Lambda continues to introduce the latest technologies. Customers can choose NVIDIA’s GB300 NVL72 devices or the HGX B300 modules integrated with 8 GPUs, both based on NVIDIA’s Blackwell Ultra accelerators. Additionally, in November last year, the company announced plans to develop NVL144 system clusters based on the next-generation GPU Rubin. This GPU was recently officially unveiled at CES 2026 and is said to be based on NVFP4 data, capable of delivering 50 petaflops per second.

Communication technology is also one of Lambda’s differentiators. The company leverages NVIDIA’s co-packaged optical technology to significantly improve traditional transceiver-centric optical transmission architectures, greatly reducing network switch power consumption. This not only helps lower data center operating costs but also ensures high-bandwidth connectivity required for large-scale AI computing.

Furthermore, Lambda has independently developed and operates a customized software platform called Lambda Stack. Based on open-source technology, it offers a development environment optimized for Lambda hardware, integrating tools like PyTorch, JAX, and TensorFlow. Among them, JAX is a technology open-sourced by Google in 2018 that effectively accelerates the mathematical computation performance of AI models.

The timing of the IPO is also worth noting. The company initially targeted July 2026 for its IPO preparations, but recent signs indicate the timeline has been pushed back to the second half of the year. Industry experts believe that if this funding round can further boost the company’s valuation, its prospects for going public will become more optimistic.

In the rapid growth of the AI cloud market, Lambda is building comprehensive competitiveness across data center infrastructure, GPU optimization, security, communication technology, and development tools. If this round of funding is successfully completed, external evaluations suggest that Lambda is very likely to leverage the NVIDIA ecosystem to become a game-changer in the next-generation AI infrastructure market.