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GIGABYTE W775-V10-L01 Deskside AI Supercomputer with NVIDIA GB300 Blackwell

SKU: W775-V10-L01

  • S$151,800.00
    Unit price per 
Shipping calculated at checkout.

PRODUCT DESCRIPTION
GIGABYTE AI TOP · Deskside AI Supercomputer
NVIDIA GB300 Grace Blackwell Ultra

Datacenter-class AI at your desk. Train, fine-tune and deploy trillion-parameter models fully on-premises — with closed-loop liquid cooling and enterprise-grade 24×7 reliability.

20 PFLOPS
FP4 AI Compute
748 GB
Unified Coherent Memory
72 Cores
NVIDIA Grace CPU
7.1 TB/s
HBM3E GPU Bandwidth
800 Gb/s
ConnectX-8 Networking
1 Trillion
Parameter Model Support

GIGABYTE W775-V10-L01 NVIDIA GB300 AI Supercomputer, 72-Core Grace CPU, 748GB Memory & Dual 400Gb Networking - Local Warranty

Enterprise AI Supercomputer Powered by NVIDIA GB300 Grace Blackwell Ultra

The GIGABYTE W775-V10-L01 is a next-generation AI supercomputer built to accelerate the most demanding artificial intelligence, machine learning, and high-performance computing workloads. Powered by the NVIDIA GB300 Grace Blackwell Ultra Superchip, the system delivers up to 20 PFLOPS of AI compute, enabling enterprises to train, fine-tune, and deploy large language models (LLMs), generative AI applications, AI agents, computer vision models, and scientific simulations entirely on-premises. Designed for organisations requiring maximum performance and complete data sovereignty, it is an ideal solution for enterprise AI, research, and advanced engineering environments.

748GB Coherent Unified Memory for Massive AI Models

The GIGABYTE W775-V10-L01 features 748GB of coherent unified memory, allowing AI models and large datasets to reside within a single high-speed memory space. This advanced architecture significantly reduces data transfer bottlenecks between the CPU and GPU, improving performance for AI inferencing, retrieval-augmented generation (RAG), foundation model fine-tuning, digital twins, engineering simulations, cybersecurity analytics, and large-scale scientific research.

72-Core NVIDIA Grace CPU with Dual 400Gb Networking

At the heart of the system is the 72-core NVIDIA Grace Arm Neoverse V2 CPU, tightly integrated with the NVIDIA Blackwell Ultra GPU for exceptional memory bandwidth and processing efficiency. Dual NVIDIA ConnectX®-8 400GbE networking provides ultra-low latency, high-bandwidth connectivity, making the workstation ideal for distributed AI training, clustered deployments, and enterprise-scale high-performance computing environments.

Built for Private AI Infrastructure and Enterprise Deployment

Designed for continuous enterprise operation, the GIGABYTE W775-V10-L01 includes advanced liquid cooling, enterprise-grade reliability, high-speed PCIe Gen5 expansion, and remote management capabilities for mission-critical deployments. Whether deployed as a standalone AI workstation or integrated into a private AI cloud, it delivers the scalability, performance, and security required for healthcare, financial services, manufacturing, autonomous systems, government agencies, and AI research laboratories.

Technical Specifications

General

Model: W775-V10-L01
Product Name: GIGABYTE W775-V10-L01 NVIDIA GB300 AI Supercomputer, 72-Core Grace CPU, 748GB Memory & Dual 400Gb Networking
Manufacturer: GIGABYTE
Product Series: GIGABYTE AI TOP Workstation
Product Type: Enterprise AI Supercomputer / AI Workstation
Compute Platform: NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
Processor Architecture: NVIDIA Grace CPU + NVIDIA Blackwell Ultra GPU
CPU Platform: NVIDIA Grace CPU Superchip
GPU Platform: NVIDIA Blackwell Ultra GPU
System Architecture: Unified Coherent CPU-GPU Computing Platform
Cooling System: Closed-Loop Liquid Cooling Solution
Power Supply: 1600W ATX 80 PLUS Platinum Power Supply
Operating System: Ubuntu Linux AI Environment (Configuration Dependent)
Deployment: AI Training, AI Inferencing, AI Agents, Machine Learning, Deep Learning, HPC, Scientific Research and Enterprise AI Development
Target Users: AI Developers, Research Institutions, Universities, Government Agencies, Enterprises, Data Scientists and Engineering Teams
Warranty: GIGABYTE Enterprise Warranty (Configuration Dependent)

Processor Specifications

Processor Platform: NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
Processor Quantity: 1
CPU Model: NVIDIA Grace CPU
CPU Architecture: Arm
CPU Core Architecture: Arm Neoverse V2
CPU Core Count: 72 Cores
GPU Architecture: NVIDIA Blackwell Ultra
CPU-GPU Interconnect: NVIDIA NVLink-C2C
Unified CPU-GPU Architecture: Supported
Unified Address Space: Supported
Coherent CPU-GPU Memory Access: Supported
Large-Scale Parallel Computing: Supported
High-Speed CPU-GPU Data Exchange: Supported
Scientific Computing: Supported
High-Performance Computing: Supported
Continuous AI Processing: Supported
Optimized for Enterprise AI Workloads
Optimized for Foundation Models
Optimized for Large Language Models

AI Performance

Maximum AI Compute Performance: Up to 20 PetaFLOPS FP4
AI Accelerator: NVIDIA Blackwell Ultra GPU
Transformer Engine: Second-Generation NVIDIA Transformer Engine
Tensor Cores: Fifth-Generation NVIDIA Tensor Cores
FP4 Computing: Supported
FP6 Computing: Supported
FP8 Computing: Supported
FP16 Computing: Supported
BF16 Computing: Supported
INT8 Inferencing: Supported
Mixed Precision Computing: Supported
Large Language Model Acceleration: Supported
Foundation Model Training: Supported
Foundation Model Fine-Tuning: Supported
Generative AI Processing: Supported
AI Agent Development: Supported
Reasoning Model Processing: Supported
Retrieval-Augmented Generation (RAG): Supported
Multimodal AI: Supported
Scientific AI Computing: Supported
Distributed AI Training: Supported
Production AI Inferencing: Supported
Supports AI Models Up to 1 Trillion Parameters

AI Features

Large Language Model Development
Large Language Model Training
Large Language Model Fine-Tuning
Foundation Model Development
Foundation Model Optimization
Generative AI
Agentic AI
AI Agent Development
Retrieval-Augmented Generation
Reasoning Models
Multimodal AI
Computer Vision
Natural Language Processing
Speech AI
Recommendation Systems
Predictive Analytics
Digital Twin Simulation
Scientific Machine Learning
Drug Discovery
Molecular Modelling
Financial AI
Cybersecurity AI
Manufacturing AI
Healthcare AI
Enterprise Knowledge Assistants
Private AI Deployment
Hybrid AI Infrastructure
Distributed AI Computing
Enterprise AI Factory Deployment

Memory Specifications

Total System Memory: 748GB Coherent Unified Memory
GPU Memory: 252GB HBM3E
GPU Memory Bandwidth: Up to 7.1TB/s
CPU Memory: 496GB LPDDR5X
CPU Memory Bandwidth: Up to 396GB/s
Memory Architecture: Unified Coherent CPU-GPU Memory
Unified Address Space: Supported
CPU-GPU Shared Memory Pool: Supported
Memory Coherency: Supported
High-Bandwidth Memory Architecture: Supported
Low-Latency Memory Access: Supported
Large AI Model Loading: Supported
Large Context Window Processing: Supported
Trillion-Parameter Model Inferencing: Supported
Large Dataset Processing: Supported
Memory Intensive AI Applications: Supported
Scientific Simulation Support: Supported
Vector Database Processing: Supported
Enterprise AI Pipeline Support: Supported

Storage Specifications

Storage Technology: NVMe Solid-State Drive
Drive Form Factor: M.2 2280
Storage Interface: PCI Express NVMe

Installed Storage Slots:

2 × M.2 PCIe Gen6 x4

2 × M.2 PCIe Gen5 x4

Maximum Storage Configuration: Configuration Dependent

Boot Drive Support: Supported

Enterprise NVMe SSD Support

PCIe Gen6 High-Speed Storage

PCIe Gen5 High-Speed Storage

AI Dataset Storage

Model Checkpoint Storage

Vector Database Storage

Container Repository Storage

Training Dataset Storage

Continuous Enterprise Read/Write Workloads

Storage Expansion Supported

Storage Health Monitoring

Remote Storage Status Monitoring

Graphics Specifications

GPU Model: NVIDIA Blackwell Ultra

GPU Quantity: 1

GPU Architecture: NVIDIA Blackwell Ultra

Tensor Cores: Fifth-Generation NVIDIA Tensor Cores

Transformer Engine: Second Generation

CUDA Support

CUDA-X Libraries

TensorRT

TensorRT-LLM

cuDNN

RAPIDS

NVIDIA AI Enterprise

NVIDIA NeMo

NVIDIA NGC Containers

GPUDirect RDMA

GPUDirect Storage

Mixed Precision Computing

Large Language Model Acceleration

Scientific Computing Acceleration

Enterprise AI Development

Networking Specifications

High-Speed Network Controller:

NVIDIA ConnectX-8 SuperNIC

Network Ports:

2 × 400Gb/s QSFP112

Maximum Aggregate Network Bandwidth:

Up to 800Gbps

Additional Ethernet:

1 × 10GbE RJ45 (Marvell)

Dedicated Management Port:

1 × Management LAN

RDMA Support

RoCE Support

GPUDirect RDMA

GPUDirect Storage

Distributed AI Training

AI Cluster Networking

Scale-Out AI Infrastructure

Enterprise AI Fabric Integration

High-Speed Storage Networking

High-Performance Computing Cluster Support

Ports & Expansion

2 × 400Gb/s QSFP112

1 × 10GbE RJ45 LAN

1 × Dedicated Management LAN

2 × M.2 PCIe Gen6 x4

2 × M.2 PCIe Gen5 x4

1 × PCIe Gen5 x16 Expansion Slot

2 × PCIe Gen5 x8 Expansion Slots

USB Connectivity: Configuration Dependent

Display Connectivity: Configuration Dependent

Future Enterprise Expansion Supported

Rack Integration Supported

High-Speed Storage Expansion Supported

Additional Enterprise Networking Expansion Supported

Dedicated Management Interface Supported

Cooling System

Closed-Loop Liquid Cooling

Optimized CPU Cooling

Optimized GPU Cooling

High-Efficiency Thermal Design

Continuous AI Training Support

Continuous AI Inferencing Support

Low Acoustic Enterprise Design

Thermal Monitoring

Fan Speed Monitoring

Automatic Thermal Protection

24×7 Enterprise Operation

Power Specifications

Power Supply Capacity: 1600W

Power Supply Type: ATX

Efficiency Rating: 80 PLUS Platinum

Enterprise High-Efficiency Design

Continuous AI Workloads Supported

Remote Power Monitoring: Configuration Dependent

Enterprise Power Management

High-Load GPU Processing Support

Compatibility

Compatible AI Frameworks:

PyTorch

TensorFlow

JAX

ONNX Runtime

Hugging Face Transformers

DeepSpeed

Megatron-LM

TensorRT

TensorRT-LLM

NVIDIA NeMo

NVIDIA Triton Inference Server

CUDA Toolkit

cuDNN

RAPIDS

Compatible Deployment Platforms:

Docker

Kubernetes

NVIDIA NGC

Ubuntu Linux

Enterprise AI Enterprise

Private AI Infrastructure

Hybrid AI Infrastructure

Enterprise MLOps Platforms

Compatible AI Workloads:

Large Language Models

Foundation Models

Generative AI

AI Agents

Retrieval-Augmented Generation

Machine Learning

Deep Learning

Computer Vision

Natural Language Processing

Speech AI

Scientific Computing

High-Performance Computing

Digital Twins

Enterprise AI

Design & Construction

Enterprise AI Workstation Design

Professional AI Supercomputer Chassis

Closed-Loop Liquid Cooling Chassis

High-Density Compute Platform

Enterprise Cable Management

Serviceable Internal Components

Continuous 24×7 Operational Design

Datacenter-Class Internal Architecture

Professional Engineering Design

Environmental Specifications

Operating Environment: Enterprise Office or AI Laboratory

Continuous Operation Supported

Thermal Monitoring

Environmental Monitoring

High Reliability Components

Configuration Dependent Certifications

Physical Specifications

Product Type: Enterprise AI Supercomputer

Form Factor: Deskside AI Supercomputer

Cooling: Closed-Loop Liquid Cooling

Power Supply: 1600W Platinum

Colour: Black

Dimensions: Configuration Dependent

Weight: Configuration Dependent

Package Contents

GIGABYTE W775-V10-L01 AI Supercomputer

1600W Platinum Power Supply

Power Cable

Quick Installation Guide

Warranty Documentation

Enterprise Support Documentation

Key Features

NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip

72-Core NVIDIA Grace CPU

Arm Neoverse V2 Architecture

Single NVIDIA Blackwell Ultra GPU

748GB Unified Coherent Memory

252GB HBM3E GPU Memory

496GB LPDDR5X CPU Memory

Up to 20 PFLOPS AI Performance

Supports AI Models Up to 1 Trillion Parameters

Dual NVIDIA ConnectX-8 400Gb Networking

800Gbps Aggregate Network Bandwidth

1 × 10GbE LAN

Dedicated Management LAN

2 × PCIe Gen6 M.2 SSD Slots

2 × PCIe Gen5 M.2 SSD Slots

PCIe Gen5 Expansion

Closed-Loop Liquid Cooling

1600W 80 PLUS Platinum Power Supply

Enterprise AI Development Ready

CUDA, TensorRT & NVIDIA AI Enterprise Ready

Performance & Features

The GIGABYTE W775-V10-L01 is a next-generation deskside AI supercomputer powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. It combines a 72-core NVIDIA Grace CPU based on the Arm Neoverse V2 architecture with the latest NVIDIA Blackwell Ultra GPU to deliver up to 20 petaFLOPS of FP4 AI compute performance for enterprise AI development, model training, fine-tuning and inferencing.

The system integrates 748GB of coherent unified memory, consisting of 252GB HBM3E GPU memory delivering up to 7.1TB/s bandwidth and 496GB LPDDR5X CPU memory providing up to 396GB/s bandwidth. The coherent memory architecture enables the CPU and GPU to access a shared memory pool, significantly reducing data movement while supporting AI models with up to one trillion parameters.

For high-speed storage, the workstation provides four M.2 NVMe SSD slots, including two PCIe Gen6 x4 and two PCIe Gen5 x4 interfaces, allowing organizations to deploy ultra-fast storage for AI datasets, vector databases, model checkpoints and local inference repositories.

Networking is powered by dual NVIDIA ConnectX-8 SuperNICs with two 400Gb/s QSFP112 ports, providing up to 800Gbps aggregate bandwidth for distributed AI training, GPUDirect RDMA, GPUDirect Storage and large-scale AI cluster connectivity. An additional 10GbE LAN and dedicated management LAN simplify enterprise deployment and remote administration.

A closed-loop liquid cooling system and 1600W 80 PLUS Platinum power supply ensure stable thermal performance and continuous operation under sustained AI workloads, making the W775-V10-L01 an ideal platform for enterprise AI factories, research laboratories and advanced HPC environments.

Typical Use Cases

Large Language Model Training

Foundation Model Development

Generative AI

AI Agent Development

Agentic AI

Retrieval-Augmented Generation

Machine Learning

Deep Learning

Production AI Inferencing

Computer Vision

Natural Language Processing

Speech AI

Recommendation Systems

Digital Twin Simulation

Drug Discovery

Scientific Computing

High-Performance Computing

University AI Research

Government AI Infrastructure

Private Enterprise AI

Hybrid AI Deployment

AI Factory Infrastructure

Detailed Specifications

1x NVIDIA Grace-72 Core Neoverse V2 CPU
1x NVIDIA Blackwell Ultra GPU
1x 252 GB HBM3E GPU memory with 7.1 TB/s total bandwidth
1x 496 GB LPDDR5X CPU memory with up to 396 GB/s bandwidth
1x 400 Gb/s QSFP ports via NVIDIA ConnectX®-8 SuperNIC™
4x 1.92TB M.2 PCIe(NVMe) PCIe Gen4 SSD
1x DAP Singapore shipping fee


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