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Gigabyte AI TOP ATOM Personal AI Computer 4TB

SKU: ATAGB10-9000

  • $5,303.80
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PRODUCT DESCRIPTION

Gigabyte AI TOP ATOM Personal AI Computer 4TB (NVIDIA GB10 / 128GB LPDDR5x / GEN5 4TB NVMe) (ATAGB10-9000) - 1 Year Local Warranty 

Next-Generation Personal AI Supercomputer for Serious Workloads

The Gigabyte AI TOP ATOM Personal AI Computer is built for users who need real local AI compute without relying on cloud resources.
It is designed for AI model training, LLM fine-tuning, high-volume inference, generative AI workflows, and advanced data analytics.
Powered by the NVIDIA GB10 GPU, this compact AI workstation delivers enterprise-class acceleration in a personal desktop form factor.
It is ideal for developers, AI engineers, data scientists, content creators, and research teams running heavy workloads daily.
This system enables faster iteration, lower latency, and full control over sensitive data by keeping compute on-premise.

Extreme Memory Capacity and PCIe Gen5 Ultra-Fast Storage

The system is equipped with 128GB LPDDR5x high-bandwidth memory to support massive datasets and parallel AI workloads.
Large language models, multimodal models, and high-resolution datasets can be loaded and processed without memory bottlenecks.
The integrated 4TB PCIe Gen5 NVMe SSD delivers extremely high read and write speeds for training data, checkpoints, and large project files.
This dramatically reduces model load times, data preprocessing time, and overall pipeline latency.
The result is smoother multitasking, faster experimentation cycles, and higher productivity for AI development workflows.

NVIDIA GB10 GPU Optimised for AI, Deep Learning, and Inference

At the core of the system is the NVIDIA GB10 GPU, purpose-built for AI acceleration and compute-intensive workloads.
It delivers high-performance tensor and CUDA acceleration for machine learning, deep learning, and generative AI applications.
This enables faster training cycles, more efficient inference, and smoother execution of neural networks and multimodal models.
The GPU is ideal for frameworks such as PyTorch, TensorFlow, CUDA-based pipelines, and modern AI toolchains.
This makes the system suitable for everything from local LLM hosting to advanced simulation and creative AI workloads.

Professional Connectivity and High-Speed Expansion

The Gigabyte AI TOP ATOM offers a full set of modern I/O for professional setups.
It supports USB-C, multiple USB-A ports, Ethernet, and HDMI or display outputs for multi-monitor workflows.
High-bandwidth connectivity allows users to attach fast external storage, capture devices, AI peripherals, and VR or AR equipment.
This makes the system flexible for development labs, creative studios, and engineering environments.
It integrates easily into existing workflows without introducing performance bottlenecks.

Built for Sustained Performance and Long-Term Stability

This system is engineered for continuous high-load operation without performance throttling.
The advanced thermal design ensures stable temperatures during long training sessions and heavy inference workloads.
High-quality components and firmware tuning provide consistent performance and system reliability.
It is suitable for daily production use, not just short benchmark runs.
This makes it a dependable platform for personal, team, or small lab AI deployments.

Use Cases

Local LLM hosting and fine-tuning.
AI model training and experimentation.
High-volume inference pipelines.
Computer vision and multimodal AI workloads.
Simulation, data science, and advanced analytics.
Generative AI for content creation and engineering workflows.

Technical Specifications (GTIN: 197754123880)

Product Model: Gigabyte AI TOP ATOM Personal AI Computer 4TB (ATAGB10-9000)
Platform Category: Personal AI Workstation / AI Development Desktop

Processor / AI Accelerator:
• GPU: NVIDIA GB10 AI Accelerator
• Architecture: NVIDIA AI-focused compute architecture with Tensor and CUDA acceleration
• Optimised for: LLM training, fine-tuning, inference, generative AI, machine learning, deep learning, multimodal AI workloads

Memory:
• Installed Memory: 128GB LPDDR5x
• Memory Type: LPDDR5x ultra-high bandwidth, low latency
• Memory Usage: Designed for large datasets, large language models, parallel workloads, and heavy multitasking

Storage:
• Installed Storage: 4TB NVMe SSD
• Interface: PCIe Gen5 x4
• Storage Type: High-performance NVMe solid-state drive
• Use Case: High-speed dataset loading, model checkpoints, cache, and large project files

Graphics / Display Output:
• Display Support: Multi-display capable
• Video Outputs: HDMI and/or DisplayPort (model dependent)
• Supported Use: Multi-monitor AI development, data visualization, creative workloads

Connectivity / I/O:
• USB: USB-C port(s) for high-speed data and peripherals
• USB: Multiple USB-A ports for legacy and modern devices
• Network: Gigabit Ethernet (RJ45) for high-speed network access and data transfer
• Expansion I/O: High-bandwidth interfaces for external storage, AI devices, capture cards, and peripherals

Cooling & Thermal Design:
• Cooling System: Advanced active cooling solution
• Thermal Design: Engineered for sustained high-load operation and long training or inference sessions
• Purpose: Prevent thermal throttling and ensure consistent performance under continuous workloads

Chassis & Form Factor:
• Form Factor: Compact desktop / personal workstation class
• Design Goal: High compute density in space-efficient enclosure

Reliability & Stability:
• Designed for: 24/7 heavy compute workloads
• Build Quality: Enterprise-grade components and firmware-level stability tuning

Software & Workload Optimisation:
• Optimised For: AI training, AI inference, LLM hosting, data science, simulation, and generative AI workflows
• Framework Compatibility: CUDA-based pipelines, PyTorch, TensorFlow, and modern AI toolchains

Use Case Positioning:
• Ideal For: AI engineers, developers, data scientists, research labs, content creators, and technical teams
• Deployment: Personal workstation, small team AI server, edge AI compute node



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