AI Computing All-in-One Solutions
An integrated AI model training and inference platform with on-demand resource scaling and plug-and-play deployment. It covers RoycomONE, the DeepSeek all-in-one appliance and the three-tier collaborative full-stack AI solution, delivering compute, model, tuning, agents and applications in a single deployment.
AI Computing All-in-One Product Family
Full-stack AI deployment from edge agents to data centers, meeting private AI needs across scales and scenarios
RoycomONE AI Appliance
A self-developed integrated AI model training and inference solution with on-demand resource scaling and plug-and-play deployment. It provides visual, unified management for training and inference tasks, system resources and monitoring/O&M, supporting model training, tuning, inference deployment and data storage management.
DeepSeek All-in-One
Purpose-built for local deployment of DeepSeek models, with one-click deployment of the full DeepSeek-R1 range (1.5B-671B), multi-version selection and containerized operations. Built-in full lifecycle tooling covers data annotation, model training, fine-tuning, inference and API publishing.
Three-Tier Collaborative AI
Wenchang edge agent terminals plus the Tianzhu local training-inference-storage appliance plus the Ziwei data center for unified post-training resource orchestration. Tailored by scenario, it enables local inference, re-training and fine-tuning so AI keeps evolving in use.
Core Capabilities of AI Computing All-in-One
Training-inference in one, ready out of the box
Integrates AI model training and inference environments with mainstream deep learning frameworks preinstalled, supporting the full flow from training to deployment and reducing deployment complexity and time to production.
GPU virtualization and memory partitioning
GPU virtualization enables intelligent memory partitioning to raise utilization and lower cost. Multi-task concurrent scheduling lets one system serve more business scenarios.
Private deployment, data security
Data never leaves the perimeter and models run locally. A three-layer resource management system supports priority scheduling, time-based metering and multi-cluster monitoring to safeguard data security and privacy compliance.
Visual intelligent-computing management
A unified platform for training/inference task management, resource monitoring and O&M alerting lowers the operational barrier so teams can focus on models and applications.
Compatible with domestic accelerators
Supports NVIDIA GPUs and domestic AI accelerators, and works with TensorFlow, PyTorch and other mainstream frameworks, helping universities and enterprises build knowledge bases, RAG and agent applications.
Continuous evolution, on-demand scaling
Pooled resources scale horizontally from a single unit to clusters. Models support fine-tuning and re-training so AI capabilities keep improving with the business.
Typical Deployment Scenarios
AI Education & Research
Supports AI teaching, research simulation and data mining, building collaborative industry-academia-research platforms.
Enterprise Private AI
Enterprise knowledge bases, internal document Q&A and business process automation with data kept on-premises.
Low-Altitude Economy & Autonomous Driving
Visual recognition and path-planning model training plus edge inference for drones and delivery vehicles.
Biomedicine & Cryo-EM
Genomic data analysis, biomolecular structure computation and AI-assisted medical imaging diagnosis.
The above describes typical application scenarios and does not represent specific customer cases.
AI Computing All-in-One Selection Guide
| Dimension | RoycomONE AI Appliance | DeepSeek All-in-One |
|---|---|---|
| Positioning | General-purpose AI training-inference platform | Dedicated private DeepSeek solution |
| Model support | Compatible with mainstream open-source and in-house models | Full DeepSeek-R1 range (1.5B-671B) |
| GPU support | NVIDIA GPUs / domestic accelerators | NVIDIA GPUs / domestic accelerators |
| Deployment | Local data center / intelligent computing center | Local data center / intelligent computing center |
| Management | Task management + resource monitoring + O&M alerting | Full lifecycle: annotation / training / fine-tuning / inference / API |
| Scenarios | General AI, education & research, enterprise AI | Local DeepSeek, knowledge base, RAG, agents |
Frequently Asked Questions
What is an AI computing all-in-one appliance, and which scenarios is it suited for?
An AI computing all-in-one appliance integrates GPU compute, AI model training and inference platforms, storage and management tools into a single hardware system. It suits enterprises that need private AI model deployment, AI education and research at universities, intelligent computing centers, autonomous driving R&D and low-altitude economy applications, addressing the last-mile challenge of putting AI into production at the client side.
Which DeepSeek model versions does the all-in-one appliance support?
The DeepSeek all-in-one appliance supports the full DeepSeek-R1 model family (1.5B to 671B parameters) with one-click deployment through containerized operations. Organizations can select different model sizes according to business needs for local inference and fine-tuning.
What are the three tiers in the collaborative AI solution?
The three-tier architecture comprises: Wenchang edge agent terminals (edge inference and data collection), the Tianzhu local appliance for training, inference, storage and management (local training/inference and storage management), and the Ziwei data center for unified post-training resource orchestration (large-scale training resource scheduling). The three tiers are tailored on demand to enable local inference, re-training and fine-tuning, allowing AI to keep evolving in use.
Further Reading
AI & High-Performance Computing
SuperAI deep learning, SuperHPC and SuperHPC hyper-converged infrastructure.
SuperStorage
RS8000 all-flash, RS6000 massive scale, RS4000 unified storage and Weka.
AI Servers
AI, general-purpose, storage, domestic, liquid-cooled and customized servers.
Product Center
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