GIGABYTE W775-V10-L01-000-3.X 8TB RTX PRO 4000 Blackwell

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GIGABYTE W775-V10-L01-000-3.X 8TB RTX PRO 4000 Blackwell
This product is intended for businesses and educational institutions only. Completing an order on the e-shop does not constitute a contract, but only sends 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 purpose of use. An 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 email us at [email protected]. We will then prepare a quote and an individual contract for you. For more information, please see our terms and conditions (clauses 3.33 and 3.34).
GIGABYTE W775-V10-L01-000-3.X 8TB RTX PRO 4000 Blackwell workstation
DGX Station performance with additional professional graphics for visualisation and AI
GIGABYTE W775-V10-L01-000-3.X is a deskside AI supercomputer based on the NVIDIA DGX Station architecture, enhanced with an additional NVIDIA RTX PRO 4000 Blackwell SFF Edition 24GB GPU for data scientists, AI researchers, and developers who need both top-tier AI performance and a fully-fledged 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 throughput. The result is a 748GB coherent memory space capable of holding and running models with up to 1 trillion parameters locally, at a performance of up to 20 petaFLOPs in FP4 format. The additional NVIDIA RTX PRO 4000 Blackwell SFF Edition GPU with 24GB of GDDR7 provides professional visualisation, ISV-certified applications, and graphics output. Ubuntu with NVIDIA AI Developer Tools is pre-installed for an immediate start without lengthy configuration.
Key features of the GIGABYTE W775-V10-L01-000-3.X 8TB RTX PRO 4000 Blackwell workstation
- NVIDIA GB300 Grace Blackwell Ultra superchip with Blackwell Ultra GPU (252GB HBM3e, 7.1TB/s) and a 72-core Grace Neoverse V2 ARM processor (496GB LPDDR5X) connected via 900GB/s NVLink-C2C technology
- Up to 20 petaFLOPs of FP4 performance for training, fine-tuning, and inferencing the most demanding AI models, with 748GB of coherent memory for locally running models with up to 1 trillion parameters
- Additional NVIDIA RTX PRO 4000 Blackwell SFF Edition 24GB GDDR7 GPU with ISV certifications for professional visualisation, CAD applications, and graphics output, independent of the GB300 superchip
- NVIDIA MIG technology for partitioning the GPU into up to 7 isolated instances, enabling an entire AI team to work concurrently on a single device
- Connection of two stations via ConnectX-8 SuperNIC (up to 800Gb/s) for over 40 petaFLOPs of performance and over 1.4TB of coherent memory
- 8TB of NVMe storage for large training datasets with support for M.2 PCIe Gen5 and Gen6 slots
- Ubuntu pre-installed with NVIDIA AI Developer Tools, CUDA-X libraries, PyTorch, and TensorFlow for an immediate start without configuration
- Midi Tower 245×500×531mm with a 1600W 80 PLUS Platinum power supply, liquid cooling for the superchip, and mini DisplayPort and 2× USB 3.2 connectivity
GB300 Grace Blackwell Ultra superchip and 748GB of coherent memory
The heart of the station is the NVIDIA GB300 Grace Blackwell Ultra superchip. The Blackwell Ultra GPU with 252GB of HBM3e and 7.1TB/s throughput, and the 72-core Grace Neoverse V2 ARM processor with 496GB of LPDDR5X, are connected by NVLink-C2C technology with a 900GB/s bandwidth. This eliminates the traditional bottleneck between CPU and GPU memory, creating a unified 748GB coherent memory space. The result is 20 petaFLOPs of FP4 performance, right where an entire server room was once required.
RTX PRO 4000 Blackwell
The additional NVIDIA RTX PRO 4000 Blackwell SFF Edition GPU with 24GB 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 directly on your desk. The 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, removing the need for a separate workstation setup.
Prototyping and development of AI applications without limits
The complete NVIDIA AI software stack, combined with NVIDIA OpenShell, provides developers with a comprehensive platform for creating AI models, AI agents, and AI-enhanced 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—using the same tools, libraries, and pre-trained models.
Fine-tune AI models with billions of parameters right at your workplace
Use the GIGABYTE W775-V10-L01 to fine-tune pre-trained models with billions of parameters right at your workplace. Training on your own data lets you specialise AI models for specific industry data or use cases—without sending sensitive data to the cloud or paying for expensive GPU instances. The NemoClaw platform then ensures the 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.
GIGABYTE W775 provides top-level data science
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. Extensive datasets, complex computational models, and demanding training processes that previously required a powerful cloud cluster or a dedicated server can 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.
Inference of models with up to 1 trillion parameters
The Blackwell Ultra architecture's Tensor Cores, with support for the FP4 format, achieve performance of up to 20 petaFLOPS. Combined with 748GB of coherent memory, they enable you to run inference on the largest available AI models with up to 1 trillion parameters directly on your desktop. 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 allow for the rapid deployment of optimised models as containers for production inference.
Specifications
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| Code: | NRn2015c |
| Warranty: | 24 months |
| Links: | Producer's Website: |
| Manufacturer information |
SIL Servis Partner a.s., Těšínská 1970/56, 710 00 Slezská Ostrava, Czech Republic, +420 552 301 141, [email protected] 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.
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