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Dedicated GPU Server, Dedicated Server Nvidia GPU Rental

Dedicated GPU server is designed to provide high-speed computing and parallel processing capabilities for applications requiring massive computing power, making it an ideal choice for running deep learning models, artificial intelligence and big data analysis. GPU servers are usually deployed in data centers or cloud environments, and users or applications can access them remotely.

Choose Dedicated GPU Server Instance Plans

When renting a dedicated server with GPU, users can choose from a series of specifications, including the type and quantity of GPU, memory and storage, and CPU processing capacity. The longer the payment cycle, the cheaper the server.

All Plans
New Arrivals
Promotions

GPU Card Classify :
Desktop
Workstation
Datacenter

GPU Server Price:
Under $50
$50 to $100
$100 to $200
$200 to $500
$500 & Above

GPU Use Scenario:
Live Streaming
HD Gaming
3D Rendering
Video Editing
AI&Deep Learning
Android Emulator
CAD/CGI/DCC

GPU Memory:
1 GB
2 GB
4 GB
6 GB
8 GB
16 GB
24 GB
32 GB
40 GB
48 GB
72 GB
80 GB
128 GB
144 GB
160 GB
192 GB
384 GB

GPU Card Model:
GT 710
GT 730
K620
P600
P620
P1000
T1000
GTX 1650
GTX 1660
RTX 2060
RTX 3060 Ti
RTX A4000
RTX A5000
RTX A6000
RTX 4060
RTX 4090
RTX 5060
RTX 5090
K80
V100
P100
A40
A100
H100

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

Flash sale to June 16

Lite GPU Dedicated Server - GT730

$ 30.25/mo

45% OFF Recurring (Was $55.00)

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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

Lite GPU Dedicated Server - K620

$ 49.00/mo

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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

Express GPU Dedicated Server - P1000

$ 64.00/mo

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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

Half-Year Pay, Full-Year Deal

Basic GPU Dedicated Server - GTX 1650

$ 59.50/mo

50% 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

Ideal for Light Gaming, Remote Design, Android Emulators, and Entry-Level AI Tasks, etc

Flash sale to June 16

Basic GPU Dedicated Server - GTX 1660

$ 86.00/mo

45% 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

Discounts on Previous-Generation Models

Basic GPU Dedicated Server - K80

$ 72.00/mo

44% OFF Recurring (Was $129.00)

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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)

Professional GPU Dedicated Server - RTX 2060

$ 199.00/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

New Arrival

Advanced GPU Dedicated Server - RTX 2060

$ 239.00/mo

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128GB RAM
Dual 20-Core Gold 6148
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

Half-Year Pay, Full-Year Deal

Basic GPU Dedicated Server - RTX 4060

$ 89.50/mo

50% OFF Recurring (Was $179.00)

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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

New Arrival

Basic GPU Dedicated Server - RTX 5060

$ 159.00/mo

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64GB RAM
24-Core Platinum 8160
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 - P100

$ 169.00/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

$ 239.00/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 - 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

Advanced GPU Dedicated Server - A4000

$ 279.00/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

Half-Year Pay, Full-Year Deal

Advanced GPU Dedicated Server - A5000

$ 191.90/mo

45% 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

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.

Enterprise GPU Dedicated Server - RTX 4090

$ 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: GeForce RTX 4090
Microarchitecture: Ada Lovelace
CUDA Cores: 16,384
Tensor Cores: 512
GPU Memory: 24 GB GDDR6X
FP32 Performance: 82.6 TFLOPS

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

Enterprise GPU Dedicated Server - A100

$ 639.00/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: 40GB HBM2
FP32 Performance: 19.5 TFLOPS

Good alternativeto A800, H100, H800, L40. Support FP64 precision computation, large-scale inference/AI training/ML.etc

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

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 - 2xRTX 4060

$ 269.00/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

Multi-GPU Dedicated Server - 2xRTX 3060 Ti

$ 319.00/mo

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128GB RAM
Dual 12-Core E5-2697v2
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

Multi-GPU Dedicated Server - 2xRTX A4000

$ 359.00/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

Multi-GPU Dedicated Server - 2xRTX A5000

$ 439.00/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- 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

Flash sale to June 16

Multi-GPU Dedicated Server - 3xRTX 3060 Ti

$ 274.00/mo

45% OFF Recurring (Was $499.00)

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256GB RAM
Dual 18-Core E5-2697v4
240GB SSD + 2TB NVMe + 8TB SATA
1Gbps

OS: Windows / Linux
GPU: 3 x GeForce RTX 3060 Ti
Microarchitecture: Ampere
CUDA Cores: 4864
Tensor Cores: 152
GPU Memory: 8GB GDDR6
FP32 Performance: 16.2 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

Multi-GPU Dedicated Server - 3xRTX A5000

$ 539.00/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 Quadro RTX A5000
Microarchitecture: Ampere
CUDA Cores: 8192
Tensor Cores: 256
GPU Memory: 24GB GDDR6
FP32 Performance: 27.8 TFLOPS

Multi-GPU Dedicated Server - 3xRTX A6000

$ 899.00/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 Quadro RTX A6000
Microarchitecture: Ampere
CUDA Cores: 10,752
Tensor Cores: 336
GPU Memory: 48GB GDDR6
FP32 Performance: 38.71 TFLOPS

Multi-GPU Dedicated Server - 2xA100

$ 1099.00/mo

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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
Free NVLink Included

A Powerful Dual-GPU Solution for Demanding AI Workloads, Large-Scale Inference, ML Training.etc. A cost-effective alternative to A100 80GB and H100, delivering exceptional performance at a competitive price.

Multi-GPU Dedicated Server - 4xA100

$ 1899.00/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 Nvidia A100
Microarchitecture: Ampere
CUDA Cores: 6912
Tensor Cores: 432
GPU Memory: 40GB HBM2
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

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

Multi-GPU Dedicated Server- 2xRTX 5090

$ 859.00/mo

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256GB RAM
Dual Gold 6148
240GB SSD + 2TB NVMe + 8TB SATA
1Gbps

OS: Windows / Linux
GPU: 2 x GeForce RTX 5090
Microarchitecture: Ada Lovelace
CUDA Cores: 20,480
Tensor Cores: 680
GPU Memory: 32 GB GDDR7
FP32 Performance: 109.7 TFLOPS

Multi-GPU Dedicated Server - 8xRTX A6000

$ 2099.00/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 Quadro RTX A6000
Microarchitecture: Ampere
CUDA Cores: 10,752
Tensor Cores: 336
GPU Memory: 48GB GDDR6
FP32 Performance: 38.71 TFLOPS

Addons for GPU Server

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Additional Memory	16GB: $5.00/month 32GB: $9.00/month 64GB: $19.00/month 128GB: $29.00/month 256GB: $49.00/month	A $39 one-time setup fee applies.
Additional SSD Drives	240GB SSD: $5.00/month 960GB SSD: $9.00/month 2TB SSD: $19.00/month 4TB SSD: $29.00/month	A $39 one-time setup fee applies.
Additional NVMe Drives	960GB NVMe: $9.00/month 2TB NVMe: $19.00/month 4TB NVMe: $29.00/month	A $39 one-time setup fee applies.
Additional SATA Drives	2TB SATA: $9.00/month 4TB SATA: $19.00/month 8TB SATA: $29.00/month 16TB SATA (3.5’ Only): $39.00/month	A $39 one-time setup fee applies.
Shared Hardware Firewall	$29.00/month. A $39 one-time setup fee applies.	Shared 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/month. A $39 one-time setup fee applies.	Dedicated 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.
Bandwidth Upgrade	Upgrade 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.
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.
Additional Dedicated IP	$2.00/month/IPv4 or IPv6	IP purpose required. Maximum 16 per package.
HDMI Dummy	$15 setup fee per server	A one-time setup fee is charged for each server and cannot be transferred to other servers.
NVLink	1xNVLink 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 A $39 one-time setup fee applies.	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.

4 Benefits of Dedicated Server with Nvidia GPU Rental

Compared with the traditional CPU server, GPU server rental can process larger data and more complex computing tasks in a shorter time due to its powerful parallel computing capability. Therefore, GPU servers are often used to train deep learning models, conduct scientific computing, and accelerate computing intensive applications. Renting GPU servers can help individuals or enterprises save a lot of time and resources, and also avoid the cost and trouble of purchasing and maintaining expensive hardware equipment.

Performance Enhancement

GPU (graphics processing unit) servers can handle high-intensity workloads such as machine learning, data analysis and graphics rendering. Leasing GPU servers allows you to take advantage of the enhanced performance of these dedicated machines, thus reducing processing time and achieving better results.

Customization

The GPU Mart provides a series of hardware configurations, enabling you to select the specific GPU, memory, storage and other components that best suit your needs. This level of customization enables you to optimize your computing resources for your specific workload.

Cost-effective

Renting GPU servers may be a more cost-effective solution than purchasing your own hardware, especially if you only need to use computing resources in a limited time. In addition, renting GPU servers can avoid the costs associated with maintaining and upgrading hardware, because these responsibilities fall on the rental provider.

Scalability

GPU Mart usually provides scalable options, enabling you to quickly and easily add or remove computing resources as workload requirements change. This means that you only need to pay for what you need when you need it.

GPU Dedicated Server Rental for Deep Learning

In terms of deep learning, dedicated GPU servers are usually the best choice to achieve the best performance. The deep learning algorithm needs a lot of computing power, especially when training neural networks on large data sets. Dedicated GPU servers can provide the necessary capabilities to train these networks quickly and efficiently.

When selecting a dedicated GPU server for deep learning, multiple factors need to be considered. The most important factor is the GPU itself. NVIDIA GPU is the most popular choice for deep learning. Tesla V100 and updated A100 are currently one of the most powerful GPUs. These GPUs provide high internal storage bandwidth, low latency, and support advanced functions such as tensor core.

Dedicated Server with GPU Rental for Scientific Computing

GPU server leasing may be the best choice for scientific computing applications. Many scientific computing applications require a lot of computing resources, and GPU servers can provide the necessary capabilities to perform these calculations quickly and efficiently.

When selecting GPU servers for scientific computing, the selection of GPU is particularly important. NVIDIA GPU is often used in scientific computing because of its high performance and support for advanced functions such as CUDA and Tensor kernel. NVIDIA Tesla V100 is a particularly popular choice for scientific computing because it provides high internal storage bandwidth, low latency and advanced tensor core functions.

Dedicated GPU Server Rental for Virtualization

The GPU dedicated server can be used for virtualization, allowing multiple virtual machines to share a physical GPU device to achieve more efficient utilization of GPU computing resources. In addition, the model and performance of GPU also need to be selected according to the needs of virtualization applications. Secondly, server configuration virtualization applications require a large amount of storage space and memory to support the needs of multiple virtualization applications. In addition, network is a key factor. Virtualization transmits a large amount of data. Therefore, high network connection is required to ensure simultaneous operation between virtual machines.

Please note that GPU virtualization requires special hardware and software support, and may require higher technical level and experience. When using a GPU dedicated server for virtualization, be sure to carefully understand the requirements of virtualization software and GPU drivers.

Dedicated Server with GPU Rental for Gaming

GPU dedicated servers can be used for game servers, especially for games requiring high-performance graphics processing. Generally speaking, the game server needs powerful CPU, fast memory and low latency network connection to ensure smooth game playing and fast data transmission between the server and the client. However, the need for a GPU depends on the specific game and its graphics requirements.

For some games, GPU is not absolutely necessary, especially for games that use simple graphics or are designed to run on low-end hardware. In these cases, a dedicated server with powerful CPU, fast memory and high-quality network connection may be sufficient. For other games, especially those with higher graphics requirements, GPU may be a valuable supplement to dedicated servers. In these cases, NVIDIA GPUs are usually the best choice because they provide high-performance graphics processing and support advanced functions such as CUDA and Tensor cores.

GPU Dedicated Server for Mining and Data Analysis

The GPU dedicated server can be the best choice for data mining and analysis tasks, especially for large data sets and compute-intensive algorithms. When selecting the GPU dedicated server for data mining and analysis, several important factors need to be considered.

First of all, GPU model is crucial for data mining and analysis tasks. NVIDIA GPU is popular in the field of data mining and analysis due to its high performance, CUDA support and extensive software ecosystem. In addition, NVIDIA Tesla series and other high-end GPUs provide more memory, kernel and advanced functions, which can significantly improve the performance of data mining and analysis tasks.

Dedicated Server with GPU Rental for Video Editing

GPU dedicated servers are often used for video rendering tasks because of their high processing capacity and the ability to process large amounts of data. When selecting a GPU dedicated server for video rendering, several important factors need to be considered.

GPU model is very important for video rendering task. NVIDIA GPU is popular in the field of video rendering due to its high performance, CUDA support and extensive software ecosystem. In addition, high-end GPUs such as NVIDIA Quadro and Tesla series provide more memory, kernel and advanced functions, which can significantly improve video rendering performance.

How does GPU Dedicated Server Rental Work?

GPU dedicated server rental allows users to rent physical servers with dedicated GPU resources to meet their computing needs. It works like this:

Select a Server Plan

You need to select a server plan that meets your needs in terms of GPU resources, processing capacity, storage and bandwidth. You can rent it monthly or annually. The hosting service provider will charge you according to the server plan and rental period you choose.

Access Your Server

After getting the server, you will get the login credentials and the description of the remote access server. Then, you can install and run your software on the server and use its dedicated GPU resources to speed up your applications.

Configure Your Server

After accessing the server, you can customize the server configuration according to your specific requirements. This may include selecting the operating system, software, and other settings.

Manage Your Server

Although we are responsible for maintaining the physical hardware and infrastructure, you will be responsible for managing the software and applications running on the server. This may include installing updates, managing backups, and configuring security settings.

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FAQs of Dedicated GPU Server Hosting, Nvidia GPU Rental

What is GPU Dedicated Server?

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GPU (Graphics Processing Unit) dedicated servers are optimized to handle complex graphic-intensive tasks, such as rendering, games, machine learning, scientific simulation and data processing. It is a high-performance computing solution that utilizes one or more dedicated graphics processing units (GPUs) to speed up data processing.

Compared with CPU-only servers, GPU servers have many advantages, including faster processing speed, higher accuracy, shorter latency and the ability to process larger data sets. They are also more energy efficient, enabling organizations to save electricity bills. In general, GPU dedicated servers provide a powerful and scalable platform for high-performance computing applications.

What are the operating systems rented by GPU servers?

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The operating system rented by GPU server can choose common Linux distributions, such as Ubuntu, CentOS, Debian, etc., or other operating systems, such as Windows Server, depending on your needs.

What is RTX dedicated servers?

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RTX dedicated server is a server equipped with NVIDIA GeForce RTX graphics card, designed for advanced games, artificial intelligence and high-performance computing applications. These graphics cards are based on NVIDIA's Turing architecture, with advanced ray tracing function and real-time ray tracing function.
The RTX dedicated server is particularly suitable for applications that require real-time ray tracing or other advanced graphics capabilities. This includes games, video rendering, 3D modeling, and machine learning applications.

How to calculate the cost of GPU server rental?

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The cost of GPU server rental is usually calculated according to the usage time and the hardware resources such as GPU model, quantity, storage and bandwidth. Different service providers may have different billing methods and prices, and they can choose their own solutions according to their own needs.

How to select the best GPU server provider?

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The selection of GPU server service providers requires comprehensive consideration of the service provider's hardware resources, performance, price, technical support, reliability and other factors, as well as the user's needs and budget. The appropriate service provider can be selected by comparing the schemes and user evaluations of different service providers.

What is GPU Server Rental?

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GPU server leasing refers to renting a server with a graphics processor (GPU) provided by others or enterprises to perform high-performance computing tasks or run large-scale machine learning models.

What is GTX dedicated servers?

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GTX dedicated server is a server equipped with NVIDIA GeForce GTX graphics card, specially designed for games and high-performance computing applications. These powerful graphics cards can provide excellent performance for various tasks, including games, 3D modeling, video rendering and machine learning.
GTX dedicated server can be used for various applications, including game hosting, video streaming, virtual reality experience, etc. They are particularly suitable for tasks that require high-performance graphics, such as games or video rendering.

What are the security issues when renting GPU servers?

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The security issues of GPU server rental include network security and data security. Users need to ensure the security of the server's network environment to avoid risks such as network attacks and data leakage. In addition, users need to pay attention to the security and protection of sensitive data in the server to avoid unnecessary risks.

Among geforce, quadro, and tesla, which series is more suitable for renting gpu servers?

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In terms of GPU server leasing, the choice between GeForce, Quadro and Tesla graphics cards depends on the requirements of specific use cases and tasks at hand.
GeForce graphics cards are mainly designed for games and consumer applications, and are generally cheaper than professional graphics cards. They provide high-performance capabilities and are ideal for games, video rendering, and other high-performance computing applications.
On the other hand, Quadro graphics cards are specially designed for professional use and tailored to meet the needs of 3D modeling, animation and other high-end graphics applications. They provide advanced features, such as higher accuracy, greater memory bandwidth, and support for multiple displays.
Tesla graphics cards are designed for high-performance computing applications such as artificial intelligence, machine learning and scientific simulation. They provide advanced parallel computing capabilities and are optimized for data centers and supercomputing environments.
Finally, the selection of GeForce, Quadro and Tesla graphics cards for GPU server leasing depends on the specific needs and requirements of the task at hand. For example, if your application requires advanced 3D modeling or animation capabilities, the Quadro graphics card may be the best choice. If the application needs advanced parallel computing capabilities for scientific simulation or machine learning, Tesla graphics card may be the best choice. If the application needs high-performance computing for games or other consumer applications, GeForce graphics card may be the best choice.