GPU Hosting, Dedicated Server with GPU Rental, VPS with GPU

Discover affordable GPU hosting solutions with our dedicated server rentals. Experience high performance and reliability for your computing needs today.

30+ GPU Hosting for Hundred Usages

When choosing GPU hosting plans, you need to comprehensively consider the server's computing power, GPU memory, scalability and pricing. From single GPU cards to multi-card plans, find the perfect solution that matches your workload and budget.
  • GPU Card Classify :
  • GPU Server Price:
  • GPU Use Scenario:
  • GPU Memory:
  • GPU Card Model:

Express GPU VPS - GT730

21.00/mo
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  • 8GB RAM
  • 6 CPU Cores
  • 120GB SSD
  • 100Mbps Unmetered Bandwidth
  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: GeForce GT730
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPS

Express GPU VPS - K620

21.00/mo
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  • 12GB RAM
  • 9 CPU Cores
  • 160GB SSD
  • 100Mbps Unmetered Bandwidth
  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro K620
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.863 TFLOPS

Basic GPU VPS - P600

29.00/mo
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  • 16GB RAM
  • 12 CPU Cores
  • 200GB SSD
  • 200Mbps Unmetered Bandwidth
  • Once per 4 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro P600
  • CUDA Cores: 384
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.2 TFLOPS

Lite GPU Dedicated Server - GT710

45.00/mo
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  • 16GB RAM
  • Quad-Core Xeon X3440
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT710
  • Microarchitecture: Kepler
  • CUDA Cores: 192
  • GPU Memory: 1GB DDR3
  • FP32 Performance: 0.336 TFLOPS

Lite GPU Dedicated Server - GT730

49.00/mo
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  • 16GB RAM
  • Quad-Core Xeon E3-1230
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GT730
  • Microarchitecture: Kepler
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.692 TFLOPS
  • A cost-effective option for running lightweight Android emulators, light video streaming, basic graphic design, and more. 3 Times Powerful than GT730 VPS.

    Supports CUDA versions 11.4 and lower.
New Year Sale

Lite GPU Dedicated Server - K620

30.00/mo
45% OFF Recurring (Was $55.00)
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  • 16GB RAM
  • Quad-Core Xeon E3-1270v3
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro K620
  • Microarchitecture: Maxwell
  • CUDA Cores: 384
  • GPU Memory: 2GB DDR3
  • FP32 Performance: 0.863 TFLOPS
  • Ideal for lightweight Android emulators, small LLMs, graphic processing, and more. Powerful than GPU VPS.

Express GPU Dedicated Server - P600

52.00/mo
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  • 32GB RAM
  • Quad-Core Xeon E5-2643
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro P600
  • Microarchitecture: Pascal
  • CUDA Cores: 384
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.2 TFLOPS

Express GPU Dedicated Server - P620

59.00/mo
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  • 32GB RAM
  • Eight-Core Xeon E5-2670
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro P620
  • Microarchitecture: Pascal
  • CUDA Cores: 512
  • GPU Memory: 2GB GDDR5
  • FP32 Performance: 1.5 TFLOPS
New Year Sale

Express GPU Dedicated Server - P1000

40.00/mo
45% OFF Recurring (Was $74.00)
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  • 32GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro P1000
  • Microarchitecture: Pascal
  • CUDA Cores: 640
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 1.894 TFLOPS
New Year Sale

Basic GPU Dedicated Server - GTX 1650

83.00/mo
30% OFF Recurring (Was $119.00)
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  • 64GB RAM
  • Eight-Core Xeon E5-2667v3
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GTX 1650
  • Microarchitecture: Turing
  • CUDA Cores: 896
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 3.0 TFLOPS

Basic GPU Dedicated Server - T1000

99.00/mo
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  • 64GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro T1000
  • Microarchitecture: Turing
  • CUDA Cores: 896
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 2.5 TFLOPS

Basic GPU Dedicated Server - K80

109.00/mo
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  • 64GB RAM
  • Eight-Core Xeon E5-2690
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Tesla K80
  • Microarchitecture: Turing
  • CUDA Cores: 4992
  • GPU Memory: 24GB GDDR5
  • FP32 Performance: 8.73 TFLOPS
  • Supports CUDA versions 11.4 and lower. Suitable for small to medium-sized model training, HPC, etc. Does not support the latest AI model optimizations.
    Dual GPUs, 24GB GDDR5 total (12GB per GPU)
New Year Sale

Professional GPU VPS - A4000

111.00/mo
38% OFF Recurring (Was $179.00)
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  • 32GB RAM
  • 24 CPU Cores
  • 320GB SSD
  • 300Mbps Unmetered Bandwidth
  • Once per 2 Weeks Backup
  • OS: Linux / Windows 10
  • Dedicated GPU: Quadro RTX A4000
  • CUDA Cores: 6,144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS
  • Available for Rendering, AI/Deep Learning, Data Science, CAD/CGI/DCC.
New Year Sale

Basic GPU Dedicated Server - GTX 1660

95.00/mo
40% OFF Recurring (Was $159.00)
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  • 64GB RAM
  • Dual 10-Core Xeon E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce GTX 1660
  • Microarchitecture: Turing
  • CUDA Cores: 1408
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 5.0 TFLOPS

Basic GPU Dedicated Server - RTX 4060

149.00/mo
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  • 64GB RAM
  • Eight-Core E5-2690
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce RTX 4060
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPS
  • Ideal for video edting, rendering, android emulators, gaming and light AI tasks.
New Arrival

Basic GPU Dedicated Server - RTX 5060

159.00/mo
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  • 64GB RAM
  • Eight-Core Gold 6144
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce RTX 5060
  • Microarchitecture: Blackwell 2.0
  • CUDA Cores: 4608
  • Tensor Cores: 144
  • GPU Memory: 8GB GDDR7
  • FP32 Performance: 23.22 TFLOPS

Professional GPU Dedicated Server - RTX 2060

159.00/mo
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  • 128GB RAM
  • Dual 10-Core E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia GeForce RTX 2060
  • Microarchitecture: Ampere
  • CUDA Cores: 1920
  • Tensor Cores: 240
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 6.5 TFLOPS
  • Powerful for Gaming, OBS Streaming, Video Editing, Android Emulators, 3D Rendering, etc

Professional GPU Dedicated Server - P100

159.00/mo
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  • 128GB RAM
  • Dual 10-Core E5-2660v2
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Tesla P100
  • Microarchitecture: Pascal
  • CUDA Cores: 3584
  • GPU Memory: 16 GB HBM2
  • FP32 Performance: 9.5 TFLOPS
  • Suitable for AI, Data Modeling, High Performance Computing, etc.

Advanced GPU Dedicated Server - RTX 3060 Ti

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

Advanced GPU Dedicated Server - A4000

209.00/mo
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  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A4000
  • Microarchitecture: Ampere
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS
  • Good choice for hosting AI image generator, BIM, 3D rendering, CAD, deep learning, etc.

Advanced GPU Dedicated Server - V100

229.00/mo
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  • 128GB RAM
  • Dual 12-Core E5-2690v3
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia V100
  • Microarchitecture: Volta
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS
  • Cost-effective for AI, deep learning, data visualization, HPC, etc
New Arrival

Multi-GPU Dedicated Server - 2xRTX 4060

298.00/mo
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  • 64GB RAM
  • Eight-Core E5-2690
  • 120GB SSD + 960GB SSD
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 2 x Nvidia GeForce RTX 4060
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11 TFLOPS
New Year Sale

Advanced GPU Dedicated Server - A5000

174.50/mo
50% OFF Recurring (Was $349.00)
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  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A5000
  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS
  • The server will be delivered once it becomes available.
New Arrival

Multi-GPU Dedicated Server - 2xRTX 3060 Ti

328.00/mo
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  • 128GB RAM
  • Dual 12-Core E5-2697v4
  • 240GB SSD + 2TB SSD
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 2 x GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS
New Arrival

Multi-GPU Dedicated Server - 2xRTX A4000

368.00/mo
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  • 128GB RAM
  • Dual 12-Core E5-2697v2
  • 240GB SSD + 2TB SSD
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 2 x Nvidia RTX A4000
  • Microarchitecture: Ampere
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2 TFLOPS
  • Good choice for hosting AI image generator, BIM, 3D rendering, CAD, deep learning, etc.

Multi-GPU Dedicated Server - 3xRTX 3060 Ti

369.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 3 x GeForce RTX 3060 Ti
  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2 TFLOPS
AI Servers, Smarter Deals!

Enterprise GPU Dedicated Server - RTX 4090

302.00/mo
44% Off Recurring (Was $549.00)
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS
  • Perfect for 3D rendering/modeling , CAD/ professional design, video editing, gaming, HPC, AI/deep learning.

Enterprise GPU Dedicated Server - RTX A6000

409.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
  • Optimally running AI, deep learning, data visualization, HPC, etc.

Enterprise GPU Dedicated Server - A40

439.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia A40
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 37.48 TFLOPS
  • Ideal for hosting AI image generator, deep learning, HPC, 3D Rendering, VR/AR etc.
New Arrival

Multi-GPU Dedicated Server - 2xRTX A5000

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

Multi-GPU Dedicated Server - 3xV100

469.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 3 x Nvidia V100
  • Microarchitecture: Volta
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS
  • Expertise in deep learning and AI workloads with more tensor cores
AI Servers, Smarter Deals!

Multi-GPU Dedicated Server - 3xRTX A5000

468.00/mo
33% OFF Recurring (Was $699.00)
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A5000
  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS
AI Servers, Smarter Deals!

Enterprise GPU Dedicated Server - A100

469.00/mo
41% OFF Recurring (Was $799.00)
1mo3mo12mo24mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia A100
  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2
  • FP32 Performance: 19.5 TFLOPS
  • Good alternativeto A800, H100, H800, L40. Support FP64 precision computation, large-scale inference/AI training/ML.etc

Multi-GPU Dedicated Server- 2xRTX 4090

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

Multi-GPU Dedicated Server - 3xRTX A6000

899.00/mo
1mo3mo12mo24mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
New Arrival

Multi-GPU Dedicated Server- 4xRTX 5090

999.00/mo
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  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 4 x GeForce RTX 5090
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 20,480
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7 TFLOPS
AI Servers, Smarter Deals!

Multi-GPU Dedicated Server - 2xA100

999.00/mo
28% OFF Recurring (Was $1399.00)
1mo3mo12mo24mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia A100
  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2
  • FP32 Performance: 19.5 TFLOPS

Multi-GPU Dedicated Server - 4xRTX A6000

1199.00/mo
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  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 4 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
New Arrival

Enterprise GPU Dedicated Server - A100(80GB)

1559.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia A100
  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 80GB HBM2e
  • FP32 Performance: 19.5 TFLOPS

Multi-GPU Dedicated Server - 8xV100

1499.00/mo
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  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 8 x Nvidia Tesla V100
  • Microarchitecture: Volta
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS
New Arrival

Enterprise GPU Dedicated Server - H100

2099.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia H100
  • Microarchitecture: Hopper
  • CUDA Cores: 14,592
  • Tensor Cores: 456
  • GPU Memory: 80GB HBM2e
  • FP32 Performance: 183TFLOPS

Multi-GPU Dedicated Server - 4xA100

1899.00/mo
1mo3mo12mo24mo
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  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 4 x Nvidia A100
  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2
  • FP32 Performance: 19.5 TFLOPS
AI Servers, Smarter Deals!

Multi-GPU Dedicated Server - 8xRTX A6000

1799.00/mo
35% OFF Recurring (Was $2799.00)
1mo3mo12mo24mo
Order Now
  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 1Gbps
  • OS: Windows / Linux
  • GPU: 8 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
Software Features for GPU Hosting
Operating SystemOptionalFree CentOS, Ubuntu, Debian, Fedora, OpenSUSE, Almalinux, Proxmox, VMWare, FreeNAS.
Microsoft Windows Server 2016/2019/2022 Standard Edition x64:$20/m
Microsoft Windows 10/11 Pro Evaluation: 90-day free trial. Please purchase a Win10/11 Pro license by yourself after the trial period.
Free Shared DNS Servicedone
Optional Add-Ons for Dedicated Server with GPU
Additional Memory16GB: $10.00/month
32GB: $18.00/month
64GB: $32.00/month
128GB: $56.00/month
256GB: $96.00/month
Additional SATA Drives2TB SATA: $19.00/month
4TB SATA: $29.00/month
8TB SATA: $39.00/month
16TB SATA (3.5’ Only): $49.00/month
Additional SSD Drives240GB SSD: $9.00/month
960GB SSD: $19.00/month
2TB SSD: $29.00/month
4TB SSD: $39.00/month
Additional NVMe Drives960GB NVMe: $19.00/month
2TB NVMe: $29.00/month
4TB NVMe: $39.00/month
Additional Dedicated IP$2.00/month/IPv4 or IPv6IP purpose required. Maximum 16 per package.
Shared Hardware Firewall$29.00/monthShared firewall is used by 2-7 users who share a single Cisco ASA 5520 firewall, including shared bandwidth. It does not have superuser privileges.
Dedicated Hardware Firewall$99.00/monthDedicated firewall allocates one user to a Cisco ASA 5520/5525 firewall, providing superuser access for independent and personalized configurations, such as firewall rules and VPN settings.
Remote Data Center Backup(Windows Only)40GB Disk Space: $30.00/month
80GB Disk Space: $60.00/month
120GB Disk Space: $90.00/month
160GB Disk Space: $120.00/month
We will use Backup For Workgroups to backup your server data (C: partition only) to our remote data center servers twice per week. You can restore the backup files in your server at any time by yourself.
Bandwidth UpgradeUpgrade to 200Mbps(Shared): $10.00/month
Upgrade to 1Gbps(Shared): $20.00/month
The bandwidth of your server represents the maximum available bandwidth. Real-time bandwidth usage depends on the current situation in the rack where your server is located and the shared bandwidth with other servers. The speed you experience may also be influenced by your local network and geographical distance from the server.
Private Network$10.00/month/server
Additional GPU CardsNvidia Tesla K80: $99.00/month
Nvidia RTX 2060: $99.00/month
Nvidia Tesla P100: $119.00/month
Nvidia RTX 3060 Ti: $149.00/month
Nvidia RTX 4060: $149.00/month
Nvidia RTX A4000: $159.00/month
Nvidia RTX A5000: $229.00/month
The GPU cards listed here can be added as a second GPU. For customized servers with different GPU models or more GPUs, please contact us.
HDMI Dummy$15 setup fee per serverA one-time setup fee is charged for each server and cannot be transferred to other servers.
NVLink1xNVLink for 2xA5000 cards: $30/month
1xNVLink for 2xA6000 cards: $30/month
2xNVLink for 4xA6000 cards: $60/month
3xNVLink for 6xA6000 cards: $90/month
4xNVLink for 8xA6000 cards: $120/month
3xNVLinks for 2xA100 cards: $90/month
6xNVLinks for 4xA100 cards: $180/month
NVLink is a high-speed interconnect technology developed by NVIDIA that allows GPUs to communicate with each other and share data at much faster rates than traditional PCIe connections.
Please note that the 2xA100, 2xA5000, and 2xA6000 servers are customized configurations, which may incur additional fees, such as for chassis upgrades. For an accurate quote, please contact us.

Why Choose Database Mart's GPU Server Rental?

A GPU dedicated server with high-performance computing resources is essential for businesses and individuals who require intensive computing power. By providing increased speed and performance, high scalability, customizable hardware and software, reduced hardware costs, and improved security, Database Mart's GPU dedicated servers can help drive innovation and growth.
Increased speed and performance

Increased Speed and Performance

A GPU dedicated server provides significantly higher performance than traditional servers or desktop computers. Database Mart provides services with dedicated GPU card. This increase in speed and performance can result in faster data processing, analysis, and modeling, ultimately leading to increased productivity and efficiency.
Customizable hardware and software

Customizable Hardware and Software

With a dedicated GPU server, businesses and individuals have complete control over the hardware and software configurations, enabling them to tailor the server to their specific needs. This customization can result in faster processing times, increased accuracy, and improved results.
High scalability

High Scalability

With a GPU dedicated server, you can easily scale up or down your computing resources as needed, add extra GPU. No need to worry your GPU is outdated. This flexibility allows businesses to adjust to changes in workload, reducing costs and improving efficiency.
Immediate Availability

Immediate Availability

Renting provides quick access to powerful GPUs without the delays of procurement or setup. You can get started immediately on critical projects.
Reduced hardware costs

Reduced Hardware Costs

Purchasing and maintaining high-performance computing hardware can be expensive. With a GPU dedicated server, businesses and individuals can avoid these costs, as the hosting provider is responsible for the hardware and maintenance.
Security and Stability

Improved Security and Stability

GPU dedicated servers with 99.9% Uptime typically provide better security features than traditional servers, making them ideal for applications that require high levels of security, such as financial or healthcare industries.
24/7/365 Support

24/7/365 Support

Database Mart's Reputable GPU rental services offer round-the-clock human-being technical support for free, ensuring smooth operation and quick resolution of any issues.
No Long-Term Commitment

No Long-Term Commitment

Renting GPU server flexibility with short-term or long-term options, allowing you to adapt as your project needs evolve, without being locked into a long-term investment.

8 User Scenarios of GPU Hosting, Dedicated Server with GPU

Android Emulators

Android Emulatorsarrow_circle_right

GPU Dedicated Servers are an excellent choice for running Android emulators with multiple instances or requiring high performance and customization. With faster processing speeds and enhanced performance, a GPU Dedicated Server creates a stable and efficient environment for emulators like Bluestacks, LDPlayer, and MEmu.
LLMs and AI Image Generator

LLMs and AI Image Generatorarrow_circle_right

GPU hosting servers deliver the computational power required for tasks like LLMs and AI image generation by speeding up data processing and model training. Their parallel processing boosts efficiency, enabling faster handling of large datasets and complex algorithms, making them crucial for AI applications.
Video Rendering

Video Renderingarrow_circle_right

Video rendering and transcoding involve processing large amounts of data for high-quality content. GPU servers speed up this process by handling video encoding and decoding in parallel, cutting down processing time, make them perfect for video production, streaming, and editing, delivering faster results and smoother workflows.
Machine learning&deep learning

Machine learning & deep learningarrow_circle_right

The combination of CPU and GPU can meet the needs of high-throughput interconnection, and provide powerful computing support for artificial intelligence/deep learning application scenarios, such as natural language processing, computer vision, voice interaction, TensorFlow, PyTorch.
Live Streaming

Live Streamingarrow_circle_right

GPU dedicated Servers can provide significant advantages in streaming, such as improving performance, accelerating rendering, enabling customization, and allowing you to multitask, especially when you use software such as OBS (Open Broadcast Software)
CAD, CGI, and DCC

CAD, CGI, and DCC

By utilizing GPU servers, users can achieve faster rendering times and improved performance for complex design and animation tasks, like CAD (Computer-Aided Design), CGI (Computer-Generated Imagery), and DCC (Digital Content Creation), significantly enhancing productivity.
High performance computing (HPC)

High performance computing

Scientific simulations, weather modeling, and molecular dynamics research benefit from GPU servers' high-performance capabilities. These servers process complex computations quickly and efficiently, making them crucial for large-scale scientific challenges.
Data Analytics

Data Analytics

GPUs can quickly process large amounts of data, allowing for faster insights from big data analytics platforms like Apache Spark, Hadoop, and SQL databases that support GPU-accelerated queries. This enhances performance in data-intensive tasks, making GPUs ideal for big data environments.

Dedicated Server Accelerated by Nivdia GPU

A dedicated server accelerated by Nvidia GPU can provide businesses and individuals with a powerful and cost-effective solution for their high-compute workloads. With increased computing power, improved graphics performance, customizable configurations, lower total cost of ownership, and reliable performance and uptime, a dedicated server with Nvidia GPU can help businesses optimize their compute resources and achieve better results.
CUDA & Tensor Cores

CUDA & Tensor Cores

NVIDIA’s CUDA architecture and specialized Tensor Cores (available in models like the A100 and H100) are specifically optimized for high-performance AI tasks. This results in more efficient neural network training and inference.
AI and Deep Learning Optimization

AI and Deep Learning Optimization

NVIDIA provides comprehensive software support, such as cuDNN and TensorRT, which are crucial for deep learning development. These tools are highly optimized for NVIDIA hardware.
Superior Rendering Capabilities

Superior Rendering Capabilities

For industries like media and entertainment, GPUs enable faster and higher-quality rendering of complex graphics, 3D models, and visual effects. NVIDIA’s Quadro and RTX series are known for delivering high-end performance for these tasks.
Energy Efficiency

Energy Efficiency

Compared to traditional CPU-based setups, NVIDIA GPUs typically offer better performance per watt, which is essential for reducing the energy footprint, especially when handling large-scale computations.
Reduced Time-to-Market

Reduced Time-to-Market

For companies building AI products or services, NVIDIA GPU servers can significantly reduce the time needed to prototype, develop, and deploy models, enabling faster time-to-market.
Multi-GPU Support

Multi-GPU Support

Many NVIDIA GPU servers are designed to support multiple GPUs, which enables further scaling of complex computational tasks. For example, distributed deep learning frameworks like PyTorch and TensorFlow benefit from the ability to spread tasks across multiple GPUs.
Broad Ecosystem

Broad Ecosystem

From AI and data science to rendering and gaming, NVIDIA GPUs are supported across a broad range of industries and applications.
Reliability

Reliability

A GPU-accelerated dedicated server offers guaranteed access to hardware resources. This provides more reliability compared to shared environments (like cloud instances), where performance can be impacted by other users.

GPU Server Inquiry

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Other Questions

FAQs of GPU Hosting, Dedicated Server with GPU

What is GPU hosting?

GPU hosting refers to renting GPU resources from a third party. Database Mart leases a portion of GPU resources to customers who need them for specific applications or workloads. These resources are usually accessed through remote connections, allowing users to utilize their computing power without investing in and maintaining their own hardware.

When Is a Dedicated GPU Necessary?

The dedicated GPU acts as an accelerator for the CPU, assisting it with processes and thereby speeding up processing time. It also can help improve graphics rendering, perfect for high-end gaming, improve video editing, and offer quick access to high-definition images

Can I run BlueStacks on your GPU servers?

Yes, DBM's GPU hosting service is optimized for applications, such as BlueStacks Android Emulator. Users can take advantage of the Multi-Instance capability to work on several applications on the same DBM physical server, making it the ideal solution for multi-tasking.

What operating systems does GPU hosting support?

We have a wide selection of ISO images in our control panel, such as Windows 10, Windows Server, Linux OS. You can choose our OS or use your own image and install the OS via IPMI. Please contact us with any questions.

How much graphics memory should be used for inference scenarios?

There is a simple conversion method: different dtypes, each 1 billion parameters require memory as follows:

- float32 4G
- fp16/bf16 2G
- int8 1G
- int4 0.5G

Then, if the 7B model uses int8 precision, it will require 1G*7 = 7G of video memory. An RTX 4060 can do it.

What is a GPU dedicated server?

GPU dedicated servers are physical servers that are exclusively dedicated to a single customer. These servers are typically equipped with multiple high-end GPUs, making them ideal for computationally intensive workloads such as machine learning, data processing, and scientific simulations. Unlike GPU VPS, GPU dedicated servers provide customers with complete control over the hardware and software configurations, enabling them to customize the server to their specific needs.

What are the benefits of GPU dedicated server?

A GPU dedicated server is a dedicated server packed with one or more GPU cards. Since it's a dedicated server, you get exclusive access to the physical server, receiving maximum security, performance, and availability. With one or more GPU cards, the servers are an excellent solution for projects requiring high-performance computing resources. The dedicated GPUs are mostly used for deep machine learning, architectural visualization, video processing, and scientific computing.

Do Dedicated servers have GPU?

Most CPUs (central processing unit) come with an integrated GPU. However, upgraded servers or servers built with graphics in mind require a dedicated (or discreet) GPU.

Can I run MEmu on your GPU server?

Yes, GPUs can process many pieces of data simultaneously, making them useful for machine learning, video editing, gaming applications, and Android Emulators, such as Memu.

What GPU server do you need for 4K streaming?

For streaming in 4K, we recommend dedicated GPU server with GTX 1650 and higher graphics cards. GPUMart's Basic GPU-GTX 1650 server is powered by an NVIDIA GTX 1650 GPU and has 40 vCPUs, 64 GB of memory, and 120GB + 960GB SSD storage. It's an excellent option for high-performance video encoding and transcoding for 4K streaming.