Neousys Technology is a well-known maker of rugged, industrial-grade computers built for demanding environments. Three of their latest products which is the Nuvo-10108GC, Nuvo-10208GC, and Nuvo-10109GC are edge AI computers designed to run heavy AI workloads in the field, whether on a factory floor, inside a vehicle, or at a remote deployment site.
All three models are based on Intel’s 14th-Gen Core processors and support NVIDIA RTX discrete GPUs, making them well-suited for tasks like computer vision, autonomous driving assistance, and AI-based inspection systems. Each model targets a slightly different set of requirements, from single mid-range GPU setups to dual-GPU configurations and up to the latest high-power single GPU.
Quick Overview
Nuvo-10108GC — Single 350W GPU, Compact Build
The Nuvo-10108GC is built for applications that need strong GPU performance in a smaller chassis. It supports a single NVIDIA RTX GPU of up to 350W, such as the RTX Pro 6000 Max-Q, and is the most compact of the three at 214 mm wide. It runs on 8V to 48V DC input, making it flexible for both vehicle-mounted and fixed installations.
Nuvo-10208GC — Dual 350W GPU, Maximum Flexibility
The Nuvo-10208GC is the dual-GPU model, designed for users who need more parallel processing power. It can house two NVIDIA RTX GPUs of up to 350W each, such as the RTX Pro 4500, 5000, or 6000 Max-Q. At 268 mm wide, it is the largest of the three and also supports 8V to 48V DC input. It includes RAID 0/1 storage support via two SATA drive bays, which adds data redundancy for critical applications.
Nuvo-10109GC — Single 600W GPU, Next-Generation AI
The Nuvo-10109GC is Neousys’ most powerful model, built around NVIDIA’s latest Blackwell GPU platform. It supports a single GPU rated at up to 600W, enabling up to 4,000 AI TOPS for large language model inference and generative AI tasks. Its power input is rated at 9V to 32V DC, which covers standard 12V and 24V automotive sources directly. Despite its increased power handling, it retains the same rugged chassis design as the 10108GC.
Key Advantages & Specialties
Find out the basic key advantanges & specialites of these 3 devices
| Feature / Advantage | Nuvo-10108GC | Nuvo-10208GC | Nuvo-10109GC |
|---|---|---|---|
| GPU Support | Single RTX GPU, up to 350W | Dual RTX GPUs, up to 350W each | Latest Nvidia RTX Pro 5090 Blackwell GPU |
| Best For | Single GPU edge AI, compact deployment | High-through put dual-GPU workloads | Next-gen LLM inference & generative AI |
| AI Performance (GPU) | Up to 100 TFLOPS (FP32) | Up to 200 TFLOPS (FP32) | Up to 4,000 AI TOPS (FP4) |
| ECC Memory Support | Yes | Yes | Yes |
| RAID Storage | No (single SATA tray) | Yes — RAID 0/1 (dual SATA trays) | No (single SATA tray) |
| Patented GPU Locking Bracket | Yes | Yes (patented) | Yes (reinforced bracket) |
| Wide DC Input Range | 8V to 48V | 8V to 48V | 9V to 32V |
| PCIe Gen4 x16 GPU Slot | Yes (1 slot) | Yes (2 slots) | Yes (1 slot) |
| Optional 10GbE Port | Yes (optional) | Yes (optional) | Yes (optional) |
Main Specifications:
Understand the basic specifications of these 3 devices
| Specification | Nuvo-10108GC | Nuvo-10208GC |
Nuvo-10109GC |
|---|---|---|---|
| CPU Support | Intel 12th / 13th / 14th Gen Core, LGA1700, 35W / 65W |
Intel 12th / 13th / 14th Gen Core, LGA1700, 35W / 65W | Intel 12th / 13th / 14th Gen Core, LGA1700, 35W / 65W |
| Chipset | Intel R680E PCH |
Intel R680E PCH | Intel R680E PCH |
| Memory | Up to 128GB ECC/non-ECC DDR5 4800, 2x SODIMM |
Up to 128GB ECC/non-ECC DDR5 4800, 2x SODIMM | Up to 128GB ECC/non-ECC DDR5 4800, 2x SODIMM |
| GPU Slot (for discrete GPU) | 1x PCIe x16 @Gen4 (65mm wide) |
2x PCIe x16 @Gen4, 8-lanes each | 1x PCIe x16 @Gen4, 16-lanes (70mm wide) |
| Additional PCIe Slots | 3x PCIe x8 @Gen3, x4 signal |
3x PCIe x8 @Gen3, x4 signal | 3x PCIe x8 @Gen3, x4 signal |
| Ethernet | 2x 2.5GbE, 1x GbE, optional 1x 10GbE |
2x 2.5GbE, 1x GbE, optional 1x 10GbE | 2x 2.5GbE, 1x GbE, optional 1x 10GbE |
| USB Ports | 6x USB 3.2 Gen2 (10 Gbps) |
6x USB 3.2 Gen2 (10 Gbps) | 6x USB 3.2 Gen2 (10 Gbps) |
| Storage | 1x 2.5″ SATA tray, 1x M.2 2280 NVMe, optional NVMe tray |
2x 2.5″ SATA trays (RAID 0/1), 1x M.2 2280 NVMe, optional NVMe tray | 1x 2.5″ SATA tray, 1x M.2 2280 NVMe, optional NVMe tray |
| Serial Ports | 2x RS-232/422/485 (COM1/COM2) |
2x RS-232/422/485 (COM1/COM2) | 2x RS-232/422/485 (COM1/COM2) |
| DC Input | 8V to 48V with ignition control |
8V to 48V with ignition control | 9V to 32V with ignition control |
| Dimensions (W x D x H) | 214 x 400 x 196 mm |
268 x 400 x 196 mm | 224 x 400 x 196 mm |
| Weight | 6.2 kg | 6.5 kg |
7.1 kg |
| Operating Temperature | -25°C to 60°C (35W CPU) |
-25°C to 60°C (35W CPU) | -25°C to 60°C (35W CPU) |
| Vibration / Shock | MIL-STD-810H |
MIL-STD-810H | MIL-STD-810H |
| EMC Certification | CE / FCC Class A |
CE / FCC Class A | CE / FCC Class A |
Similarities and Differences
Discover the similarities and differences between these 3 devices
Similarities
- Same Intel 12th / 13th / 14th Gen Core CPU platform (LGA1700, 35W or 65W)
- Up to 128GB ECC/non-ECC DDR5 4800 RAM (2x SODIMM)
- 6x USB 3.2 Gen2, 2x 2.5GbE + 1x GbE (optional 10GbE), 2x serial ports
- 3x additional PCIe x8 Gen3 slots for add-on cards
- Internal M.2 NVMe storage plus optional front-accessible NVMe tray
- Ignition power control, -25°C to 60°C operation
- MIL-STD-810H vibration and shock certified, CE / FCC Class A
- Wall-mount with damping brackets
Differences
- GPUs — 10108GC: single 350W; 10208GC: dual 350W (RAID storage included); 10109GC: single 600W Blackwell
- AI performance — 10108GC: 100 TFLOPS; 10208GC: 200 TFLOPS; 10109GC: 4,000 AI TOPS
- DC input — 10108GC & 10208GC: 8V to 48V; 10109GC: 9V to 32V
- SATA bays — 10108GC & 10109GC: 1 bay; 10208GC: 2 bays with RAID 0/1
- Size — 10108GC: 214mm wide, 6.2kg; 10208GC: 268mm wide, 6.5kg; 10109GC: 224mm wide, 7.1kg
Real-World Applications
Where can it be applies?
Nuvo-10108GC
- Autonomous vehicle testing and perception systems using a single high-performance GPU
- AI-based visual inspection on factory production lines
- Roadside or traffic monitoring systems with camera input and AI processing
- Mobile mapping and survey vehicles requiring rugged, vibration-resistant AI computing
- GMSL2 camera frame grabbing combined with real-time object detection
- Compact edge AI systems for rail, marine, or off-road vehicles
Nuvo-10208GC
- Dual-camera or multi-stream AI inference where two GPUs share the workload
- High-throughput automated optical inspection in semiconductor or PCB manufacturing
- Large-scale surveillance systems with many camera feeds processed simultaneously
- Autonomous driving development platforms that need redundant or parallel GPU processing
- Data-critical deployments needing RAID 1 mirrored storage for safety
- Research and testing rigs requiring maximum GPU compute in a rugged chassis
Nuvo-10109GC
- On-device large language model inference and generative AI at the edge
- Autonomous driving systems requiring the highest AI compute per unit
- Advanced driver assistance systems (ADAS) with complex scene understanding
- VIL and HIL testing environments needing fast, deterministic AI response
- Smart city AI servers deployed in outdoor cabinets or vehicles
- Industrial robotics with real-time decision-making powered by generative AI models
Summary
All three Neousys models are built on the same solid foundation: Intel’s latest LGA1700 platform, rugged MIL-STD-810H certification, wide-temperature operation, and a rich set of I/O ports. They are all designed to survive harsh environments and are suitable for vehicle-mounted or fixed industrial use.
The Nuvo-10108GC is the right choice if you need a compact, single-GPU computer for standard AI vision or autonomous driving workloads. It is the lightest and most affordable entry point in this lineup.
The Nuvo-10208GC suits users who need more computing headroom, with dual 350W GPUs offering up to 200 TFLOPS and the added benefit of RAID storage. It is the best fit for multi-stream AI workloads or data-sensitive deployments.
The Nuvo-10109GC is for teams pushing the frontier of edge AI. With support for NVIDIA’s latest 600W Blackwell GPU and up to 4,000 AI TOPS, it handles the most demanding AI tasks including Large Language Model (LLM) inference and generative AI directly at the edge, without relying on a data centre.
If you’re interested in these products, feel free to click the links below:
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