GIGABYTE W775-V10-L01-000-3. X 8TB

Pre-sale price 3,199,990,-

Benefits of Pre-Orders:

  • We are guarding the price for you - If the price gets lower when the product is available, the difference will be refunded.
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  • No worries - You don't have to check the availability, we'll do it for you.

GIGABYTE W775-V10-L01-000-3. X 8TB

ℹ️

This product is intended for business, government and educational institutions only. Completing an order on the e-shop does not constitute a binding contract, but rather a request for a quote.

The sale of this product is subject to export, sanction, and other legal restrictions. Before an order can be accepted, we must verify the buyer, the end user, the country of delivery, and the intended use. The enquiry can only be accepted after successful authorisation by the supplier.

If the required conditions are not met, the request for a quote may be rejected or the order may be cancelled without any claim to the delivery of 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

GIGABYTE W775-V10-L01 workstation

The most powerful AI supercomputer for your desk – data centre performance without the server room

The GIGABYTE W775-V10-L01 is a powerful deskside AI supercomputer built on the NVIDIA DGX Station architecture for data scientists, AI researchers, and developers who need the power of an entire data centre right at their desk. 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 ARM Grace Neoverse V2 processor with 496GB of LPDDR5X memory, connected by NVLink-C2C technology with a 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 up to 20 petaFLOPS in FP4 format – with no cloud dependency, no shared infrastructure, and full control over sensitive data. NVIDIA MIG technology allows the GPU to be partitioned into up to seven isolated instances for an entire AI team to work concurrently, and connecting two stations via an NVIDIA ConnectX-8 SuperNIC with up to 800Gb/s bandwidth doubles the performance to over 1.4TB of coherent memory and 40 petaFLOPS of AI power. The pre-installed NVIDIA DGX OS with CUDA-X libraries, TensorRT, NIM microservices, NVIDIA AI Enterprise, PyTorch, TensorFlow, and NVIDIA OpenShell ensures you can get started instantly without lengthy configuration – all in a Midi Tower chassis measuring 245×595×528.4mm with a 1600W 80 PLUS Titanium certified power supply.

Nvidia GeForce RTX 40

748GB (HBM3e + LPDDR5x)

Coherent memory
Nvidia GeForce RTX 40

Blackwell GB300

Chip architecture
NVIDIA DGX Station workstation

NVIDIA ConnectX

High-speed network card
NVIDIA DGX Station workstation

NVIDIA AI Software Stack

Complete software stack
Nvidia GeForce RTX 40

1600W

Power consumption
GIGABYTE W775-V10-L01

Key features of the GIGABYTE W775-V10-L01 workstation

  • NVIDIA GB300 Grace Blackwell Ultra superchip with Blackwell Ultra GPU (252GB HBM3e, 7.1TB/s) and a 72-core ARM Grace Neoverse V2 processor (496GB LPDDR5X) connected by NVLink-C2C technology with 900GB/s throughput
  • Up to 20 petaFLOPS of performance in FP4 format and 330 TOPS in Int8 format for training, fine-tuning, and inference of the most demanding AI models
  • 748GB of coherent memory capable of loading and running models with up to 1 trillion parameters locally, without dependency on the cloud or an external server
  • NVIDIA MIG technology to partition the GPU into up to 7 isolated instances – a powerful local cluster for the entire AI team in a single device
  • Connect two stations via a ConnectX-8 SuperNIC (up to 800Gb/s) for over 40 petaFLOPS of performance and over 1.4TB of coherent memory
  • Pre-installed NVIDIA DGX OS with CUDA-X, TensorRT, NIM microservices, NVIDIA AI Enterprise, PyTorch, TensorFlow, and NVIDIA OpenShell for an instant start without configuration
GIGABYTE W775-V10-L01

GB300 Grace Blackwell Ultra superchip and 748GB of coherent memory

At the heart of the GIGABYTE W775-V10-L01 is the NVIDIA GB300 Grace Blackwell Ultra superchip – a unique combination of a Blackwell Ultra GPU with 252GB of HBM3e memory and 7.1TB/s throughput, and a 72-core ARM Grace Neoverse V2 processor with 496GB of LPDDR5X and 396GB/s throughput. Both parts of the superchip are connected by NVLink-C2C technology with a 900GB/s bandwidth, which eliminates the traditional bottleneck between CPU and GPU memory to create a single 748GB coherent memory space. The result is 20 petaFLOPS of performance in FP4 format and 330 TOPS in Int8 format – right where an entire server room floor was previously required.

GIGABYTE W775-V10-L01

NVIDIA MIG and ConnectX-8 for AI team performance in a single device

The GIGABYTE W775-V10-L01 is not just a personal supercomputer, but a powerful local compute node for an entire AI team. NVIDIA MIG technology partitions the GPU into up to seven fully isolated instances, each with its own dedicated memory, compute cores, and network connection, enabling multiple researchers to work concurrently without impacting one another. Connecting two stations via an NVIDIA ConnectX-8 SuperNIC with up to 800Gb/s bandwidth then doubles the performance to over 40 petaFLOPS and over 1.4TB of coherent memory for working with the largest available models – without the need to build an expensive server cluster.

GIGABYTE W775-V10-L01

AI application prototyping and development without limits

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. The NVIDIA DGX OS comes pre-configured with CUDA-X libraries, Container Toolkit, Docker, and NVIDIA AI Enterprise for an immediate start to development. Once a 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.

GIGABYTE W775-V10-L01

Fine-tune AI models with billions of parameters right at your desk

Use the GIGABYTE W775-V10-L01 to fine-tune pre-trained models with billions of parameters right at your desk. Training on your own data allows you to 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 secure and isolated operation of autonomous AI agents with full governance control. The result is a model tailored precisely to your scenario, created locally, securely, and under your complete control.

GIGABYTE W775-V10-L01

GIGABYTE W775 delivers top-tier 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 dedicated server can now run directly 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.

NVIDIA DGX Station workstation

Inference of models with up to 1 trillion parameters

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, this lets you 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 – with no cloud latency, no shared infrastructure, and no risk of sensitive data leaks. NVIDIA NIM microservices then enable the rapid deployment of optimised models as containers for production inference.

Nvidia GeForce RTX 40

AI supercomputer performance

Up to 20 petaFLOPS for FP4 format inference
Nvidia GeForce RTX 40

Up to 1 trillion parameters

Local inference without cloud dependency
Nvidia GeForce RTX 40

Connecting two systems

A cluster for over 40 petaFLOPS of performance and 1.4TB of coherent memory
Nvidia GeForce RTX 40

Ready to work straight away

Pre-installed NVIDIA AI software stack
Nvidia GeForce RTX 40

Memory without compromise

748GB of coherent CPU and GPU memory
Nvidia GeForce RTX 40

Your own data

Fine-tune models with billions of parameters right at your workplace
Nvidia GeForce RTX 40

Network throughput

ConnectX-8 SuperNIC with up to 800Gb/s bandwidth
Nvidia GeForce RTX 40

Secure local work

Full data control without sending to the cloud

Specifications

Use

Assembly type Performance

Processor

Processor model number NVIDIA GB300

GPU series/model

Graphics card series NVIDIA
Model graphics cards GB300

Graphics card

Hard Drive

Storage capacity (total) 8,000 GB (8 TB)
SSD Capacity 8,000 GB (8 TB)
Internal interface M.2 (PCIe 5.0 4x NVMe)
Number of occupied slots M.2 4 ×
Slots in total M.2 4 ×

Colour and design

Colour Black, Brown
Wardrobe size Midi Tower
Front panel location top
Sidewalls Opaque

PSU

PSU 1,600 W

Memory

Size of operational RAM 496 GB
Memory type LPDDR5x
Coherent memory size 748 GB

Outputs

USB 3.2 Gen 2 4 pc(s)
USB-C 1 pc(s)
Graphics miniDisplayPort
Other MicroUSB, Microphone input, Headphone/Speaker output, RJ-45 (LAN) 10Gbps, NVIDIA ConnectX-8 SuperNIC
Optical drive Without Optical Drive

Case

Width 400 mm
Height 732 mm
Depth 775 mm
Weight 29.2 kg

Package contents

Package includes Power cable

AI

Total number of TOPS 330
Software platform NVIDIA CUDA
INT8 TOPS 330
Max. number of MIG instances 7
Supported precision FP4

Warranty

Extended warranty Servis u zákazníka (On-site)

Workstation – GPU model combinations

Graphics card combination GB300

NCNR (Non-Cancellable, Non-Returnable)

Způsob nákupu pro firmy Na poptávku s individuální smlouvou

AI specifications

Primary AI use Fine-tuning
Certified AI frameworks PyTorch, TensorFlow
SmartNIC ConnectX-8

GPU configuration

NVLink version NVLink-C2C
NVLink bandwidth 900 GB/s
Code:  NRn2015a
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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