The RSSRA120 is an advanced, high-density computing cluster designed to deliver exceptional performance for AI, edge computing, deep learning, and large-scale data processing. Built with a modular, scalable architecture, this cluster integrates multiple ARM-based computing nodes into a compact and energy-efficient system, making it ideal for developers, researchers, and enterprises seeking powerful yet cost-effective computational solutions.
Key Features & Specifications
1. High-Performance ARM-Based Processing
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Powered by multi-core ARM processors (such as Rockchip or other high-efficiency SoCs), optimized for parallel computing tasks.
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Supports AI acceleration with NPU (Neural Processing Unit) integration for faster deep learning inference.
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Efficient power consumption compared to traditional x86 clusters, reducing operational costs.
2. Scalable & Modular Design
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Cluster-ready architecture with support for multiple computing nodes in a single chassis.
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Hot-swappable modules for easy maintenance and upgrades.
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Flexible expansion options, allowing users to scale computing power as needed.
3. High-Speed Connectivity & Networking
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Gigabit Ethernet / 10GbE support for fast inter-node communication.
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Optional PCIe expansion for additional GPUs, FPGAs, or high-speed storage.
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Supports distributed computing frameworks like Kubernetes, Docker Swarm, and MPI for cluster management.
4. Optimized for AI & Edge Computing
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Ideal for machine learning training & inference, computer vision, and IoT analytics.
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Low-latency processing suitable for real-time edge AI applications.
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Compatible with popular AI frameworks like TensorFlow, PyTorch, and ONNX.
5. Efficient Cooling & Robust Build
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Advanced thermal design with quiet, high-efficiency cooling systems.
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Durable metal chassis ensuring long-term reliability in demanding environments.
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Compact form factor, saving space in data centers or edge deployment scenarios.
6. Software & Ecosystem Support
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Runs on Linux-based OS (Ubuntu, Debian, or custom distributions).
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Supports cloud-native development with containerization tools (Docker, Kubernetes).
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Open-source friendly, enabling customization for specialized workloads.
Applications & Use Cases
The RS-SRA120 is engineered for a wide range of high-performance computing tasks, including:
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AI & Machine Learning – Accelerated model training and inference.
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Edge Computing – Real-time data processing in IoT and industrial applications.
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Data Analytics – Large-scale data crunching for research and business intelligence.
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Cloud-Native Development – Scalable microservices and distributed applications.
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High-Performance Computing (HPC) – Scientific simulations, rendering, and parallel computing.
Why Choose the RS-SRA120?
✅ Energy-efficient ARM architecture – Lower power consumption than traditional server clusters.
✅ High-density computing – More processing power in a compact form factor.
✅ Scalable & customizable – Adaptable to growing computational demands.
✅ Optimized for AI & edge workloads – Faster inference and real-time processing.
✅ Robust ecosystem support – Compatible with leading AI frameworks and cloud tools.
Category | RS-SRA120 (Compute Server) | RS-SRB120 (Storage Server) | RS-SRM120 (Converged Server) |
Product Form | 2U rack server | 2U rack server | 2U rack server |
Processor | Two SG2042 64-core RISC-V processors @ 2.0GHz | - | - |
Computing Accuracy | - | - | INT8 / FP16 / BF16 / FP32 |
Video Decoding | - | - | H.265 & H.264: 1080p@9600fpsResolution: 8K/4K/1080p/720p/D1/CIF |
Video Encoding | - | - | H.265 & H.264: 1080p@3600fpsResolution: 4K/1080p/720p/D1/CIF |
Memory | 256GB (Eight RDIMM memory modules, each 32GB, 3200MT/s) | - | - |
Video Memory | - | - | 192GB LPDDR4X |
Storage | Comes with two 1TB M.2 2280 NVMe SSDsSupports eight 3.5/2.5-inch SAS/SATA hot-swappable drives | Comes with two 1TB M.2 2280 NVMe SSDsComes standard with eight 12TB 3.5-inch SATA hard drives, supports hot swapping | Comes with two 1TB M.2 2280 NVMe SSDsSupports eight 3.5/2.5-inch SAS/SATA hot-swappable drives |
RAID | Supports RAID 0/1/10/5/50/6/60, etc. | Comes with 1 disk array card, supports RAID 0/1/10/5/50/6/60, etc. | Supports RAID 0/1/10/5/50/6/60, etc. |
Power | 2 × 1300W hot-swappable power supplies, supports 1+1 redundancy (input 200V AC ~ 240V AC) | 2 × 1300W hot-swappable power supplies, supports 1+1 redundancy (input 200V AC ~ 240V AC) | 2 × 1300W hot-swappable power supplies, supports 1+1 redundancy (input 200V AC ~ 240V AC) |
Fan Module | 4 hot-swappable fans with N+1 redundancy | 4 hot-swappable fans with N+1 redundancy | 4 hot-swappable fans with N+1 redundancy |
OS | Fedora 38 (default), Ubuntu 24.04, openKylin 1.0, openEuler 24.03, deepin 23 | Fedora 38 (default), Ubuntu 24.04, openKylin 1.0, openEuler 24.03, deepin 23 | Fedora 38 (default), Ubuntu 24.04, openKylin 1.0, openEuler 24.03, deepin 23 |
Size | 748.0mm (L) × 433.4mm (W) × 87.2mm (H) | 748.0mm (L) × 433.4mm (W) × 87.2mm (H) | 748.0mm (L) × 433.4mm (W) × 87.2mm (H) |
Weight | Net: 17.9kg, Total with package: 25.75kg | Net: 17.9kg, Total with package: 25.75kg | Net: 17.9kg, Total with package: 25.75kg |
Environment | Operating Temp: 10°C–40°C, Operating Humidity: 35%–80%RHStorage Temp: -40°C–65°C, Storage Humidity: 20%–90%RH | Operating Temp: 10°C–40°C, Operating Humidity: 35%–80%RHStorage Temp: -40°C–65°C, Storage Humidity: 20%–90%RH | Operating Temp: 10°C–40°C, Operating Humidity: 35%–80%RHStorage Temp: -40°C–65°C, Storage Humidity: 20%–90%RH |
Internet | 2 × Gigabit Ethernet (RJ45, service)1 × Gigabit Ethernet (RJ45, IPMI management) | 2 × Gigabit Ethernet (RJ45, service)1 × Gigabit Ethernet (RJ45, IPMI management) | 2 × Gigabit Ethernet (RJ45, service)1 × Gigabit Ethernet (RJ45, IPMI management) |
PCIe | 6 × PCIe 3.0 | 6 × PCIe 3.0 | 6 × PCIe 3.0 |
USB | 5 × USB 3.0 (1 inside the device) | 5 × USB 3.0 (1 inside the device) | 5 × USB 3.0 (1 inside the device) |
VGA | 2 × VGA | 2 × VGA | 2 × VGA |
Manage Serial Ports | 1 × RS232 (DB9) | 1 × RS232 (DB9) | 1 × RS232 (DB9) |