GIGABYTE AI TOP ATOM Mini PC, NVIDIA GB10 Grace Blackwell, 128GB LPDDR5X, 2TB NVMe, 10GbE, DGX OS | GB-ATAGB10-9003
₱483,045.00
- Brand: GIGABYTE
- Model: AI TOP ATOM
- SKU: GB-ATAGB10-9003 (ATAGB10-9003)
- Chipset: NVIDIA GB10 Grace Blackwell Superchip
- CPU: 20-core Arm (10 x Cortex-X925 + 10 x Cortex-A725)
- Memory: 128GB LPDDR5x unified, 256-bit, 273 GB/s
- Storage: 2TB M.2 NVMe PCIe 4.0 SSD
- Networking: 10GbE, 2 x QSFP 200 Gbps (ConnectX-7), Wi-Fi 7, Bluetooth 5.4
- Ports: 4 x USB 3.2 Gen 2×2 Type-C (1 for PD IN), 1 x HDMI 2.1a
- Operating System: NVIDIA DGX OS, Ubuntu Linux
- Power: 240W adapter
- Size / Weight: 150 x 150 x 50.5 mm, 1.2 kg
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Product Overview
The GIGABYTE AI TOP ATOM is a one-litre personal AI computer built on the NVIDIA GB10 Grace Blackwell Superchip. This ATAGB10-9003 version has 128GB of unified LPDDR5x memory and a 2TB PCIe 4.0 NVMe SSD, and runs NVIDIA DGX OS.
It is a developer and research machine, not a gaming or Windows desktop. The appeal is running and fine-tuning large AI models locally on a desk: the GPU shares one large 128GB memory pool with the 20-core Arm CPU, so models that do not fit in the VRAM of a consumer graphics card can load on this box. It suits AI engineers, data science teams, universities and companies in the Philippines that want local inference and prototyping without renting cloud GPUs.
Key Features and What They Mean
GB10 Grace Blackwell with 128GB Unified Memory
GIGABYTE lists a 20-core Arm CPU (10 Cortex-X925 and 10 Cortex-A725), a Blackwell GPU and up to 1 petaFLOP of AI performance. The 128GB of LPDDR5x runs on a 256-bit interface at 273 GB/s.
In our assessment the memory capacity is the headline, not raw speed: 273 GB/s is far below a high-end desktop graphics card, so token generation on very large models is slower than on a big GPU, but the model fits at all. ServeTheHome notes that the core hardware is the same across GB10 systems, and that partners mainly differ in cooling, SSD choice and support (ServeTheHome review).
ConnectX-7 200G Networking for Two-Unit Setups
Two QSFP ports on an NVIDIA ConnectX-7 NIC (200 Gbps) let you link systems for larger models, alongside a 10GbE RJ-45 port and Wi-Fi 7. ServeTheHome expects a direct cable between two units to be the most common cluster setup, and notes the NIC appears to the OS as four network interfaces because of how GB10 connects it.
2TB PCIe 4.0 SSD
This SKU uses a 2TB M.2 NVMe PCIe 4.0 drive. Large model files take tens to hundreds of gigabytes each, so 2TB is a practical middle option between the 1TB and 4TB versions GIGABYTE also offers.
Compact Chassis and 240W Adapter
The unit measures 150 x 150 x 50.5 mm and weighs 1.2 kg, powered by a 240W external adapter through a USB-C PD input. ServeTheHome describes front-to-back airflow with an intake near the front of the bottom and exhaust at the rear, and notes the power button is on the back. StorageReview measured CPU peaks of 90°C and GPU peaks of 81°C during heavy prefill bursts on its 4TB unit, with temperatures settling under sustained load (StorageReview).
Competitive Positioning
The AI TOP ATOM is GIGABYTE’s version of the NVIDIA DGX Spark design. Because GB10 systems share the same superchip, ServeTheHome notes that partners differ mainly in cooling, SSD choice and support; in our assessment the choice between brands at the same memory size comes down to those points rather than AI performance.
Against a workstation with a large discrete GPU, the ATOM trades peak speed for memory capacity, a small footprint and low power. Against cloud GPU rental, it is a one-time purchase that keeps data on site, which matters for teams handling confidential or regulated data.
Philippine Buyer Perspective
Our Take
Buy this only if your work is AI development on Linux. DGX OS is Ubuntu-based and the CPU is Arm, so Windows software and many x86-only tools will not run on it; it is a companion to a normal PC, not a replacement.
Within the range, the 128GB, 2TB ATAGB10-9003 is the version we would point most single-user developers to: full GB10 memory with enough local storage for several large models. Teams planning to link two units should budget for a QSFP cable and plan where the second system will sit, since the ports are on the rear.
Known Compatibility and Setup Notes
Who Should Buy This
| GIGABYTE AI TOP ATOM (ATAGB10-9003) Specifications | |
|---|---|
| Product | |
| Brand | GIGABYTE |
| Model | GIGABYTE AI TOP ATOM |
| Variant | ATAGB10-9003 (128GB memory, 2TB PCIe 4.0 SSD) |
| SKU | GB-ATAGB10-9003 |
| Platform | NVIDIA GB10 Grace Blackwell (DGX Spark class) personal AI system |
| Color | Black |
| Processor and Graphics | |
| Chipset | NVIDIA GB10 Grace Blackwell Superchip |
| CPU | 20-core Arm: 10 x Cortex-X925 + 10 x Cortex-A725 |
| Graphics | NVIDIA Blackwell architecture |
| Tensor Performance | 1 petaFLOP AI performance (GIGABYTE rating) |
| Memory and Storage | |
| Memory | 128GB LPDDR5x unified system memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | 273 GB/s |
| Storage | 2TB M.2 NVMe PCIe 4.0 SSD |
| Connectivity | |
| Rear USB | 1 x USB 3.2 Gen 2x2 Type-C (PD IN, power input), 3 x USB 3.2 Gen 2x2 Type-C (up to 20Gbps) |
| High-Speed Networking | 2 x QSFP (200 Gbps, NVIDIA ConnectX-7 NIC) |
| LAN | 1 x RJ-45, 10GbE |
| Wireless | Wi-Fi 7, Bluetooth 5.4 |
| Display | 1 x HDMI 2.1a |
| Audio | HDMI multichannel audio output |
| Security | 1 x Kensington Nano slot (side) |
| Power, Software and Size | |
| Power Supply | 240W adapter |
| Operating System | NVIDIA DGX OS, Ubuntu Linux |
| Chassis Volume | 1L |
| Dimensions | H 50.5 x W 150 x D 150 mm |
| Weight | 1.2 kg |
| In the Box | AI TOP ATOM, adapter, power cord (varies by country) |
| Other Variants (not this SKU) | |
| ATAGB10-9000 / -9001 | 128GB, 4TB (PCIe 5.0 / PCIe 4.0) |
| ATAGB10-9002 | 128GB, 1TB PCIe 4.0 |
| ATAGB10-9004 / -9005 | 64GB, 2TB / 1TB PCIe 4.0 |
| Packaging Weight | 2.69 kg |
|---|---|
| Packaging Dimensions (L×W×H) | 26.4 × 20.8 × 15.2 cm |
| Brand | Gigabyte |
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