GIGABYTE AI TOP ATOM (ATAGB10-9000)
Use this to tell your different configurations apart in your cart — handy if you order the same product with different options.
Full Specifications
Compute & Memory
Chip
NVIDIA GB10 Grace Blackwell Superchip
Unified Memory
128 GB LPDDR5x (273 GB/s bandwidth)
AI Performance
1 PetaFLOP (FP4)
Storage & Physical
Storage
4 TB NVMe Gen5 (Samsung PM9E1, 2242 form factor)
Dimensions
150 x 150 x 50.5 mm
Weight
1.2 kg
Power & Thermal
Power Supply
240 W USB-C PD adapter
GPU Power Draw
75.54 W (peak)
Cooling
Dual Delta 3W fans, multiple heat pipes, wave-pattern front vents
Thermal Profile
CPU: 90 °C peak · GPU: 81 °C peak
Software & Extras
Software
AI TOP Utility included (model download, inference, RAG, fine-tuning)
Security
Kensington Nano lock slot, TPM 2.0
The GIGABYTE AI TOP ATOM (ATAGB10-9000) launched on October 15, 2025, pairing the NVIDIA GB10 Grace Blackwell Superchip with a 4 TB PCIe Gen5 NVMe SSD as standard configuration — a storage tier still uncommon within the GB10 desktop class. The result is a compact AI development workstation built specifically around fast local storage and sustained inference throughput.
GIGABYTE's engineering approach favors a performance-first thermal design: rather than capping GPU power purely to minimize peak temperatures, the AI TOP ATOM allows brief, higher-power bursts during demanding prefill-heavy phases before settling into a stable, sustained operating band. Combined with the Samsung PM9E1 Gen5 drive and native GPU Direct Storage (GDS) support, this makes the ATOM particularly well suited to workloads that move large volumes of model weights and datasets between storage and GPU memory.
Hardware Specifications
The AI TOP ATOM delivers 1 petaFLOP of FP4 AI performance from a 20-core Arm-based processor (10 × Cortex-X925 performance cores + 10 × Cortex-A725 efficiency cores), paired with 128 GB LPDDR5x unified memory delivering 273 GB/s of bandwidth shared coherently between CPU and GPU. Storage is handled by a 4 TB PCIe Gen5 NVMe SSD—specifically the Samsung PM9E1 in the compact 2242 M.2 form factor, currently the fastest drive available in that size class—with native GPU Direct Storage (GDS) support that lets the GPU read model weights and datasets directly from disk without routing through the CPU.
Connectivity & Networking
Onboard NVIDIA ConnectX-7 Smart NIC provides dual 200 Gbps QSFP ports for direct peer-to-peer linking of two AI TOP ATOM units. Additional connectivity includes 10 GbE Ethernet (RJ-45), Wi-Fi 7 (2×2 MIMO), and Bluetooth 5.4. I/O comprises 3 × USB 3.2 Gen 2×2 Type-C (20 Gbps), 1 × USB-C with Power Delivery, and HDMI 2.1a. A Kensington Nano security lock slot and TPM 2.0 support round out the platform's physical and firmware-level security.
Software & AI TOP Utility Platform
Pre-installed NVIDIA DGX OS ships with the full NVIDIA AI software stack (CUDA, cuDNN, TensorRT, NIM microservices) ready for immediate deployment. Layered on top, GIGABYTE's own AI TOP Utility provides a dedicated local AI development environment: guided model downloads, one-click inference, Retrieval-Augmented Generation (RAG) pipelines, machine learning training templates, and text-to-image generation with LoRA model mounting. Built-in fine-tune benchmarking, validation, and report-export tools let developers evaluate and document model quality without leaving the utility.
GIGABYTE maintains an active update cadence for the platform: the July 2026 release (v4.2.1) added a real-time notification center for tracking long-running training and inference tasks, following earlier updates that introduced the text-to-image and fine-tuning modules.
Storage & GPU Direct Storage Performance
Independent GPU Direct Storage testing by Storage Review placed the AI TOP ATOM's 4 TB Samsung PM9E1 among the strongest performers recorded in the GB10 class, with clean throughput scaling and early saturation:
| Concurrency | Read Throughput | Write Throughput |
|---|---|---|
| 8 threads (saturation point) | 11.03 GiB/s | 12.21 GiB/s |
| 128 threads (sustained) | 11.6 GiB/s | 8.82 GiB/s |
This translates directly into faster model loading, checkpoint streaming, and dataset ingestion—workloads that increasingly bottleneck on storage rather than raw compute in local AI development.
Thermal Design & Power Management
Rather than optimizing purely for the lowest possible temperature, GIGABYTE tuned the AI TOP ATOM's thermal profile—dual Delta 3W fans, multiple heat pipes, and wave-pattern front vents—to sustain higher burst power during the heaviest workload phases. Independent testing recorded the following:
- CPU Temperature: idles at 38.7 °C and peaks at 90 °C during Prefill-heavy bursts, then stabilizes rather than continuing to climb once workloads settle into sustained Equal ISL/OSL or Decode-heavy phases.
- GPU Temperature & Power: idles at 37 °C and peaks at 81 °C alongside a peak GPU power draw of 75.54 W—among the highest sustained power allocations recorded in the class, directly supporting the ATOM's strong Prefill-heavy throughput.
- NVMe/NIC Temps: NVMe remains at or below 59.8 °C; NIC peaks at 72 °C, both comfortably within normal operating range.
In practice, this means the ATOM allocates thermal and power headroom toward short bursts of peak performance, then settles into a stable, non-throttling state for extended inference and fine-tuning sessions.
Single-Unit Performance Baseline (vLLM)
Storage Review's vLLM Online Serving benchmarks across three workload patterns demonstrate the single unit's production viability:
| Model & Workload | Batch 1 | Batch 64 |
|---|---|---|
| GPT-OSS 120B (Equal ISL/OSL) | 60.71 tok/s | 649.62 tok/s |
| GPT-OSS 120B (Prefill Heavy) | 304.63 tok/s | 2,771.38 tok/s |
| GPT-OSS 120B (Decode Heavy) | 47.01 tok/s | 299.41 tok/s |
| Llama 3.1 8B (Equal ISL/OSL) | 69.84 tok/s | 2,756.91 tok/s |
Pricing & Market Position
Entry Price: €4,499.00. This configuration ships standard with the 4 TB PCIe Gen5 SSD—the fastest storage tier in the AI TOP ATOM lineup—rather than positioning it as a costly upgrade, and includes the full AI TOP Utility software suite at no additional cost.
Ecosystem & Scaling
Two AI TOP ATOM units link directly via their onboard ConnectX-7 200 Gbps QSFP ports, combining into a 256 GB unified memory pool capable of serving models beyond 400 billion parameters, with the same NVIDIA DGX OS software stack managing both nodes as a single logical inference target.









