Why Rafavi?

• Fusion Innovation – We cherry-pick proven technologies from multiple partners to build solutions that outperform single-vendor offerings.
• Fully Customizable – From CPU/GPU selection to chassis form factor, we design according to your scenario.
• Open but Integrated – Our platforms unify diverse hardware under a single pane of glass.
• Sustainability Ready – Green cooling technologies reduce PUE and carbon footprint.
• End-to-End Service – Expert consultation, on-site deployment, and lifetime support.

Our Solution Portfolio

1. Edge Intelligence – Rafavi EdgeBox Series

For Smart Classrooms, Community Clinics, Retail Stores, and Light Industrial Sites
Requirements: Low latency, quiet operation, plug-and-play, compact size

• Hardware: Low-power Intel/AMD CPUs, 1–2 GPUs (RTX 4060/4070 or equivalent)
• Pre-installed Software: Rafavi EdgeOS with domain-specific AI model library (education, healthcare, government)
• Green Cooling Module (inspired by iYCOW)
  • Ultra-quiet fans + optional auxiliary liquid cooling
  • 30% lower power consumption, office‑friendly noise levels
• Zero‑Touch Deployment – Pre‑tuned models and factory integration: just connect power and network

Customer Value

• AI in 2 hours without infrastructure changes
• Data stays on‑premises – privacy compliant
• Typical uses: AI teaching assistant, preliminary diagnosis, intelligent document processing

2. On‑Premises AI Appliance – Rafavi UniCube Series

For Enterprise R&D Centers, University Labs, County‑Level Data Centers
Requirements: Multi‑task concurrency, elastic resource allocation, model fine‑tuning, cost control

• Hardware: 4U/6U chassis, 4–8 GPUs (RTX 4090/5090 or L40S)
• Storage: Hybrid NVMe + HDD, RDMA enabled
• Management Platform: Rafavi AI Station
  • Visual resource scheduling (GPU slicing, memory pooling)
  • One‑click deployment of DeepSeek models (1.5B to 671B)
  • Built‑in RAG pipelines and Agent development tools
• Optional Storage Accelerator (inspired by SuperStorage RS8000) – provides 100+ GB/s bandwidth
• Optional Cooling Upgrade (iYCOW‑inspired) – rack‑level precision cooling, PUE < 1.2

Customer Value

• AI environment ready in 5 minutes; supports multiple users/tasks simultaneously
• Fine‑tuning costs cut by 50% (SupremeCache technology expands effective VRAM)
• Typical uses: enterprise knowledge base, quantitative backtesting, research model training

3. Central AI Cluster – Rafavi TitanCluster Series

For AI Data Centers, Supercomputing Centers, Large Internet Enterprises
Requirements: Extreme compute power, massive storage, linear scalability, green operation

• Compute Nodes
  • HGX H100/H200/B200 8‑GPU modules for training
  • 8‑card RTX 5090/4090 nodes for large‑scale inference
  • Full PCIe 5.0 and NVLink connectivity
• Storage Nodes (inspired by SuperStorage RS6000/RS8000)
  • Hybrid flash arrays with EB‑scale expansion
  • Erasure coding and data protection
• Networking – Rafavi SwiftFabric Series
  • 400G/200G RoCE or InfiniBand, lossless low‑latency fabric
• Intelligent O&M Platform (inspired by RoycomONE)
  • Unified monitoring across clusters
  • Dynamic resource orchestration and energy optimization
• Green Cooling System (iYCOW‑inspired)
  • Indirect evaporative cooling + rear‑door heat exchangers
  • PUE ≤ 1.15, waste heat recovery for carbon neutrality

Customer Value

• Thousand‑card parallel training reduces model iteration time by 70%
• Decoupled storage and compute for independent scaling
• Typical uses: foundation model pre‑training, climate simulation, genomic analysis

4. Comprehensive Storage Solutions – Rafavi StoreMax Family

For Video Surveillance, Medical Imaging, Media Archives, Big Data Analytics
Requirements: High IOPS, massive capacity, multi‑protocol support, data security

Software

• Rafavi Storage Manager – capacity forecasting, performance monitoring, data tiering
• Data Vault – ransomware protection, multi‑copy & snapshot

Customer Value

• 40% lower TCO through data lifecycle management
• Automatic hot/warm/cold tiering to match SLAs

5. Domestic Secure Computing – Rafavi SecureCore Series

For Government, Defense, Finance, Critical Infrastructure
Requirements: Sovereign control, security compliance, ecosystem compatibility

• Processors: Kunpeng 920, Phytium S5000C, Hygon 7400 (field‑selectable)
• Accelerators: Ascend inference cards, Iluvatar, Moore Threads (certified compatibility)
• Form Factors: 2U/4U rackmount, support full‑height full‑length GPUs
• Software Stack
  • Pre‑installed KylinOS, UOS
  • Rafavi CaaS (container platform) compatible with domestic ecosystems
  • Optimized for MindSpore, PaddlePaddle
• Security Enhancements
  • Trusted Computing 3.0, TPM/TCM modules
  • Full data encryption, meets Class 2 Security Protection requirements

Customer Value

• Full stack from chip to application – supply chain risk eliminated
• Smooth migration of existing AI models
• Typical uses: government cloud, smart border surveillance, financial secure zones

6. Industry‑Specific Custom Solutions

For Autonomous Driving, Biotech, Smart Manufacturing, and More
Requirements: Special form factors, wide temperature, vibration resistance, custom I/O

Customization Capabilities

• Chassis: In‑vehicle, airborne, wall‑mounted, or other non‑standard sizes
• Cooling: Fanless, immersion liquid cooling, ruggedized designs
• I/O Expansion: CAN bus, serial ports, custom mezzanine cards
• Software Pre‑load: Industry SDKs, proprietary algorithms

Success Stories

• Autonomous Delivery Vehicle – Rafavi EdgeBox rugged version: vibration‑proof, -20°C to 60°C operation
• Gene Sequencer – Rafavi UniCube + StoreMax 8000 for real‑time analysis
• Smart Oil Field – Rafavi TitanCluster explosion‑proof design, edge‑cloud collaboration

Rafavi Promise

• No Vendor Lock‑in – We combine what’s best for you
• Custom‑Built – Every solution is designed for your specific workload
• Simple Experience – Pre‑integrated, pre‑tuned, delivered ready‑to‑run
• Lifecycle Care – From consultation to retirement, we’re with you

Contact Us
Rafavi Computing
Tel: +86 18519213808
Website: www.bluetooth.com.cn
Headquarters: Beijing, China