Managed PaddleOCR Hosting | AI OCR Text Extraction on GPU – B2BHostingClub

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GPU Hosting Plans Recommended

All plans include: free pre-installation of PaddleOCR, setup of inference API endpoint, basic monitoring & support. Ideal for document extraction, layout parsing, multilingual OCR pipelines — all with GPU acceleration, free setup, and flexible usage.

Advanced GPU Dedicated Server - RTX 3060 Ti

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  • 128GB RAM
  • GPU: GeForce RTX 3060 Ti
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS

Basic GPU Dedicated Server - RTX 5060

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  • 64GB RAM
  • GPU: Nvidia GeForce RTX 5060
  • 24-Core Platinum 8160
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Blackwell 2.0
  • CUDA Cores: 4608
  • Tensor Cores: 144
  • GPU Memory: 8GB GDDR7
  • FP32 Performance: 23.22 TFLOPS
  • This is a pre-sale product. Delivery will be completed within 2–7 days after payment.

Professional GPU VPS - A4000

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  • 32GB RAM
  • Dedicated GPU: Quadro RTX A4000
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered Bandwidth
  • OS: Linux / Windows 10/11
  • Once per 2 Weeks Backup
  • Single GPU Specifications:
  • CUDA Cores: 6,144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS

Advanced GPU Dedicated Server - A5000

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  • 128GB RAM
  • GPU: Nvidia Quadro RTX A5000
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS

Enterprise GPU Dedicated Server - RTX 4090

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  • 256GB RAM
  • GPU: GeForce RTX 4090
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS

Advanced GPU VPS - RTX 5090

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  • 96GB RAM
  • Dedicated GPU: GeForce RTX 5090
  • 32 CPU Cores
  • 400GB SSD
  • 500Mbps Unmetered Bandwidth
  • OS: Linux / Windows 10/11
  • Once per 2 Weeks Backup
  • Single GPU Specifications:
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32GB GDDR7
  • FP32 Performance: 109.7 TFLOPS

Enterprise GPU Dedicated Server - RTX 5090

/mo

add to cart
  • 256GB RAM
  • GPU: GeForce RTX 5090
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • Single GPU Microarchitecture: Blackwell 2.0
  • CUDA Cores: 21,760
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7 TFLOPS
  • This is a pre-sale product. Delivery will be completed within 2–10 days after payment.

Key Features of Hosted PaddleOCR

GPU accelerated inference

Free pre-installation on powerful GPU hardware ensures low latency and high throughput.

End-to-end pipeline support

Text detection, orientation classification, recognition, layout/table parsing and structured output (JSON/Markdown) for downstream

Multilingual & multi-script support

Recognises many languages and scripts including Latin, Cyrillic, Arabic, Asian languages.

Document parsing & structure extraction

Beyond simple OCR, supports complex layouts, tables, charts, formula recognition.

Flexible deployment & scaling

Choose your plan, scale as needed, integrate via API for rapid launch.

Frequently asked questions

PaddleOCR is an open-source, production-ready optical character recognition (OCR) and document-intelligence toolkit built on the PaddlePaddle deep-learning framework. It supports multilingual text recognition (80+ languages), document layout parsing, table/formula extraction and many deployment scenarios.
Yes — you may bring your custom fine-tuned PaddleOCR model, or we can assist migrating your workload to your own cloud/server.
With GPU acceleration and optimized servers, you can achieve low latency inference (single-image processing in tens of milliseconds). Real numbers depend on image size, batch size, concurrency and model variant.
Yes — PaddleOCR is open source (Apache 2.0 licence) and the hosting service supports commercial use, though you should review any third-party dependencies or fonts if using custom models.
We deploy your chosen GPU instance, install PaddleOCR with optimized inference setup, configure API endpoint (REST/SDK) and verify basic test case. You only need to integrate your application.
PaddleOCR supports dozens of languages out of the box; models provide recognition for many scripts including English, Chinese, Arabic, Cyrillic, Indic and more.
None — we host it for you. If you choose self-hosting (on-premises or in your cloud), you’ll want a GPU-accelerated server for best performance.
Yes — we provide consulting and implementation support for custom datasets, layout parsing, model fine-tuning and production integration.

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