The 2025 Computex Fair has once again revealed that Nvidia is not only a hardware -oriented technology company, but also one of the architects of institutional transformation based on artificial intelligence. With the new systems built on Blackwell architecture, Nvidia clearly revealed the claim to shape the future of corporate data centers. The RTX Pro 6000 Blackwell server version GPUs became the first concrete and high -performance step of this frame. The company is not just increasing the processing power on servers; It has built a structure aimed at converting data centers into AI production lines.
The RTX Pro 6000 server GPUs, which stand out among the systems introduced by Nvidia, offer up to eight GPU support, while Bluefield-3 data processing units and Connectx-8 Supernic connections. These Blackwell -based cards are optimized for various workloads such as productive artificial intelligence inference, physical simulations, scientific calculation and design. Hardware manufacturers such as Dell, HPE, Supermicro and MSI have already begun to offer new generation server systems to the market using these cards. Thus, Blackwell has spread not only as an architecture, but also on a large area as a chain of partnership.
The RTX Pro 6000 solutions are not only an upgrade at the hardware level. Nvidia positions these GPUs in a more comprehensive infrastructure model, which he calls the Corporate AI factory. This model was developed to offer AI solutions not only for large companies but for more accessible and modular form. This design, which is the building block of data centers designed for AI, brings a holistic approach based on the work of certain components.
Nvidia’s AI infrastructure vision is developing with business partners
The corporate AI factory design offers a reference structure created with components approved by Nvidia. NVIDIA certified servers, Spectrum-X network, Bluefield data processing units and NVIDIA AI Enterprise software are the basis of this structure. In addition, large companies such as Cadence, Foxconn and Lilly announced their plans to build their own AI factories based on this design. Thus, this model is not only a technological proposition, but in different areas of the business world has been practically adopted.
This comprehensive approach of Nvidia stems from the fact that it sees the hardware as a starting point. The company not only sells strong GPUs, but also strives to offer a complete AI platform by building software, network and storage solutions to them. It leads to standardized and pre -verified system structures to reduce the difficulties experienced in the transition to corporate AI solutions. This enables AI investments to be implemented faster and more safely.
On the other hand, other equipment announced by Nvidia is the components that complete this transformation process. The H200 NVL GPU stands out as a solution developed on the basis of Hopper architecture and offers high data access speeds with HBM3E memory. The performance increase obtained by connecting two H200 GPUs with NVLink provides significant advantages in intensive AI workloads. MSI has begun to integrate this hardware to use in its systems.
In addition, the GB300 and GB10 Grace Blackwell Superchip developed for desktop workstations attract attention. These chips, which are used in systems such as ASCENT’s Ascent GX10 and Dell’s Pro Max workstations, were developed for AI developers and high -performance professionals. Nvidia thus maintains the determination to provide solutions that accelerate artificial intelligence not only in data centers but also at the end user level.
Developing AI applications on a corporate scale is not only with strong processors; It is also possible with integrated software and infrastructure solutions to support these processors. Nvidia’s AI Factory design is exactly responses to this need. With a system structure whose standards are determined, companies now have tools that can convert their data centers into AI production areas.
Nvidia’s architecture and products introduced in Computex 2025 have a common goal: to accelerate the adoption of the AI Age at the institutional level. This ecosystem, which consists of a combination of hardware, software and partnerships, not only meets today’s needs, but also aims to ensure the sustainability of AI infrastructure. All these steps once again showed that Nvidia is not only a technology manufacturer, but also one of the main providers of AI -supported digital transformation.