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Best GPU Servers for Qwen3-VL-32B

Unlock the power of Pre-installed Qwen3-VL-32B models—fully hosted and managed with Open WebUI and Ollama on enterprise‑grade NVIDIA GPU servers by B2BHOSTINGCLUB.

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 - A40

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  • 256GB RAM
  • GPU: Nvidia A40
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • Single GPU Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 37.48 TFLOPS

Enterprise GPU Dedicated Server - RTX A6000

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  • 256GB RAM
  • GPU: Nvidia Quadro RTX A6000
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Linux / Windows 10/11
  • Single GPU Specifications:
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS

Enterprise GPU Dedicated Server - A100

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  • 256GB RAM
  • GPU: Nvidia A100
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • Single GPU Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2
  • FP32 Performance: 19.5 TFLOPS

Best GPU Servers for Qwen3-VL-8B

Unlock the power of Pre-installed Qwen3-VL-8B models—fully hosted and managed with Open WebUI and Ollama on NVIDIA GPU servers by B2BHOSTINGCLUB.

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

/mo

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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

/mo

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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

Best GPU Servers for Qwen3-VL-4B

Unlock the power of Pre-installed Qwen3-VL-4B models—fully hosted and managed with Open WebUI and Ollama on NVIDIA GPU servers by B2BHOSTINGCLUB.

Professional GPU VPS - A4000

/mo

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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

/mo

add to cart
  • 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

/mo

add to cart
  • 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

/mo

add to cart
  • 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

Frequently asked questions

Qwen3-VL is the latest generation of Alibaba’s multimodal large language models, capable of understanding text, images, charts, and documents in a unified reasoning framework.
This depends on the situation; each instance comes pre-installed with a specific model. If the GPU has sufficient memory, you can install other models via the WebUI or SSH. You can then switch models using a single command in Ollama or through the WebUI dropdown menu.
Yes. You have full root access. You can install additional models, fine-tune weights, or integrate via API.
Yes — commercial usage is allowed for all three versions (4B, 8B, and 32B) of Qwen3-VL, under Alibaba’s Tongyi License 2.0.
All servers include Open WebUI, Ollama, and your selected Qwen3-VL model, along with CUDA, PyTorch, and all necessary dependencies. Just log in and start chatting.
No. With Open WebUI, you can start inference visually — upload an image, type a question, and get the answer instantly.
We offer low-latency data centers across America, ensuring fast access from any region.
All servers are single-tenant bare-metal or isolated GPU VPS instances. Your data and models are never shared.

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