Benefits of Pre-Orders:This product is intended for businesses and educational institutions only. Completing an order on the e-shop does not conclude a contract but only submits an enquiry.
The sale of this product is subject to export, sanction, and other legal restrictions. Before accepting an order, it is necessary to verify the buyer, end-user, country of delivery, and intended use. The order can only be accepted after successful authorisation from the supplier.
If the required conditions are not met, the enquiry may be rejected or the order cancelled without any entitlement to the delivery of the goods.
If you are interested in purchasing an AI solution or accelerator, you can also write to us at [email protected]. We will then prepare an offer and an individual contract for you. For more information, please see our terms and conditions (clauses 3.33 and 3.34).
DGX Station performance with additional professional graphics for both visualisation and AI
The GIGABYTE W775-V10-L01-000-3.X is an AI supercomputer built on the NVIDIA DGX Station architecture, enhanced with an additional NVIDIA RTX PRO 2000 Blackwell 16GB GPU for data scientists, AI researchers, and developers who need top-tier AI performance alongside a full-featured professional graphics output. At its core is the NVIDIA GB300 Grace Blackwell Ultra superchip, a combination of the Blackwell Ultra GPU architecture with 252GB of HBM3e memory and a 72-core Grace Neoverse V2 ARM processor with 496GB of LPDDR5X, connected via NVLink-C2C technology with 900GB/s of throughput. This creates a coherent memory space of 748GB, capable of holding and running models with up to 1 trillion parameters locally at speeds of up to 20 petaFLOPS in FP4 format. The additional NVIDIA RTX PRO 2000 Blackwell GPU with 16GB of GDDR7 provides professional visualisation, ISV-certified applications and graphics output. Ubuntu with NVIDIA AI Developer Tools comes pre-installed for an immediate start without lengthy configuration.
At the heart of the station is the NVIDIA GB300 Grace Blackwell Ultra superchip. A Blackwell Ultra GPU with 252GB of HBM3e and 7.1TB/s throughput and a 72-core Grace Neoverse V2 ARM processor with 496GB of LPDDR5X are interconnected by NVLink-C2C technology with 900GB/s of bandwidth, which eliminates the traditional bottleneck between CPU and GPU memory to create a unified 748GB coherent memory space. The result is 20 petaFLOPS of performance in FP4 format, right where an entire server room floor was once needed.
The additional NVIDIA RTX PRO 2000 Blackwell GPU with 16GB of GDDR7 brings a dimension to the station that the GB300 superchip alone does not cover: ISV-certified professional graphics for CAD, visualisation and VFX right on your desk. 5th generation Tensor Cores with FP4 support and 4th generation RT Cores with RTX Mega Geometry complement the GB300's AI computing power with photorealistic ray tracing and AI-assisted creative workflows in a single system, without the need for a separate workstation setup.
The complete NVIDIA AI software stack combined with NVIDIA OpenShell provides developers with a full-featured platform for creating AI models, AI agents, and AI-augmented applications—all locally, without cloud dependency. NVIDIA DGX OS comes pre-configured with CUDA-X libraries, Container Toolkit, Docker, and NVIDIA AI Enterprise for an immediate start to development. Once the solution is ready for production deployment, the GIGABYTE W775-V10-L01 enables direct and seamless migration of workloads to the NVIDIA DGX Cloud or other NVIDIA-accelerated infrastructure—with the same tools, libraries, and pre-trained models.
Use the GIGABYTE W775-V10-L01 to fine-tune pre-trained models with billions of parameters right in your workplace. Training on your own data enables you to specialise AI models for specific industry data or particular use cases—without having to send sensitive data to the cloud or pay for expensive GPU instances. The NemoClaw platform then ensures secure and isolated operation of autonomous AI agents with full governance control. The result is a model precisely tailored to your scenario, created locally, securely, and under your complete control.
The combination of 748GB of coherent memory and 20 petaFLOPS of performance makes the GIGABYTE W775-V10-L01 the ideal workstation for demanding data analytics and machine learning projects. Large datasets, complex computational models, and demanding training processes that previously required a powerful cloud cluster or dedicated server now run right on your desk. Four M.2 NVMe slots – two PCIe 5.0 x2 and two PCIe 6.0 x4 for training data – two 400Gb/s QSFP network interfaces, and three PCIe 5.0 x16 slots ensure data throughput worthy of a research infrastructure – fast, local, and without waiting for remote infrastructure.
The Blackwell Ultra architecture's Tensor Cores, with support for the FP4 format, achieve up to 20 petaFLOPS of performance. Combined with 748GB of coherent memory, they let you run inference for the largest available AI models with up to 1 trillion parameters right at your desk. Test, validate, and deploy models locally and in real time – without cloud latency, shared infrastructure, or the risk of sensitive data leaks. NVIDIA NIM microservices then enable the rapid deployment of optimised models as containers for production inference.
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Gigabyte, founded in 1986, is an irreplaceable player in the field of computer components. They put great emphasis on key technologies and the strictest quality standards. The company produces a wide range of basic computer components such as motherboards and graphics cards, but also have many computer peripherals, laptops, tablets, desktops and even network solutions and servers on offer. Recently they also introduced a line of Gigabyte mobile phones.
Specifications can be changed without notice. Images are for illustrative purposes only.
