GPU Hosting for AI, ML, DL & LLMs

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Hot deal! Get up to 53% OFF – As Low As $18.33/Month!>

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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

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/ Windows 11
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/ Windows 11
Dedicated GPU: Quadro K620
CUDA Cores: 384
GPU Memory: 2GB DDR3
FP32 Performance: 0.863 TFLOPS

Flash sale to June 16

Basic GPU VPS - P600

$ 18.33/mo

53% OFF Recurring (Was $39.00)

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16GB RAM
12 CPU Cores
200GB SSD
200Mbps Unmetered Bandwidth

Once per 4 Weeks Backup
OS: Linux / Windows 10/ Windows 11
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

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

Flash sale to June 16

Express GPU Dedicated Server - P620

$ 34.50/mo

50% OFF Recurring (Was $69.00)

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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

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)

Flash Sale to June 16

Professional GPU VPS - A4000

$ 99.00/mo

44% 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/ Windows 11
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.

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

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 - 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

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 - 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

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

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

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

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

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 - 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.

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 - 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

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

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

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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- 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 - 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 - 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 - 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

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 - 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 - 8xRTX A6000

$ 2099.00/mo

1mo3mo12mo24mo

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512GB RAM
Dual 22-Core E5-2699v4
240GB SSD + 4TB NVMe + 16TB SATA
1Gbps

OS: Windows / Linux
GPU: 8 x Quadro RTX A6000
Microarchitecture: Ampere
CUDA Cores: 10,752
Tensor Cores: 336
GPU Memory: 48GB GDDR6
FP32 Performance: 38.71 TFLOPS

More GPU Server Instance Pricingarrow_circle_right

Benefits of Using Our GPU Hosting

GPU hosting can provide significant benefits for organizations and individuals that need access to high-performance computing resources.

Cost Savings

With GPU hosting, you don't need to invest in expensive hardware or pay for the associated maintenance and upgrades. Instead, you can rent access to high-performance GPU servers on a pay-per-use basis, which can be much more cost-effective for many use cases.

Instant Availability

Renting GPU servers allows immediate access to the required computing resources without the need to wait for equipment procurement and deployment.

Scalability and Flexibility

With GPU hosting, you can easily scale your computing resources up or down to meet changing needs. You can quickly add or remove GPU instances as needed, allowing you to handle spikes in demand or adjust to changing workloads.

Reduced Maintenance

With GPU hosting, you don't need to worry about maintaining and managing hardware and software on your own. The hosting provider takes care of the infrastructure and maintenance.

Why Choose Us?

GPU Mart is committed to providing professional GPU server hosting.

Bare Metal GPU Servers

Experience superior performance for demanding applications with GPU dedicated server. With no CPU/RAM/GPU sharing, your server effortlessly manages heavy workloads.

GPU Hosting Experts

With 5 years of experience in GPU hosting, our team of GPU specialists is available 24/7 to offer technical support, ensuring smooth operation of your GPU servers.

Cheap GPU Hosting

GPU Mart is dedicated to providing cost-effective GPU hosting services. Our prices are among the most competitive in the market, catering to both individual IT enthusiasts and professionals.

Premium Hardware

Our GPU dedicated servers and VPSs are equipped with high-quality NVIDIA graphics cards, efficient Intel CPUs, pure SSD storage, and renowned memory brands such as Samsung and Hynix.

Dedicated GPU Cards

When you rent a GPU server from GPU Mart, whether it's a GPU dedicated server or GPU VPS, you benefit from dedicated GPU resources. This means you have exclusive access to the entire GPU card.

USA Quality Since 2005

Across the USA since 2005, GPU Mart's data centers are meticulously maintained, featuring state-of-the-art cooling systems to guarantee optimal GPU server performance and 99.9% uptime year-round.

What Do We Use GPU Hosting For?

GPU Mart offers various GPU Hosting for AI, ML, DL & LLMs. The versatility and powerful functions of GPU server hosting make it a valuable resource for a wide range of applications, especially those that need a lot of parallel processing capabilities.

Machine Learning and AI

GPU servers are commonly used to train and run machine learning models and deep learning algorithms. GPUs can handle the massively parallel computations involved in these applications, reducing training time and improving accuracy. GPU servers can be used in a variety of machine learning and artificial intelligence applications, such as image and speech recognition, natural language processing, and recommender systems.

Scientific Simulations

Many scientific simulations, such as those used in weather forecasting, fluid dynamics, and materials science, require significant computing power. GPUs can speed up these simulations by processing the large amounts of data involved in parallel. GPU servers are also commonly used for simulation-based optimization and machine learning-based data analysis in scientific research.

Video Rendering and Transcoding

Video rendering and transcoding involve processing large amounts of data to create high-quality video content. GPUs dedicated servers can speed up this process by parallelizing the video encoding and decoding process. This makes GPU servers ideal for video production, streaming, and editing applications.

Gaming and Virtual Reality

High-performance dedicated GPU servers are used to support online gaming and virtual reality applications that require massive processing power and high frame rates. This enables players to experience a more realistic and immersive gaming experience. Cloud gaming providers typically use GPU servers to deliver gaming services accessible from any device.

OBS Streaming

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), the powerful GPU also allows you to perform multiple tasks at the same time when streaming.

Android Emulators

GPU Dedicated Servers can be a great option for running Android emulators, especially if you're running multiple instances at once or need high-performance and customization options. By providing fast processing, improved performance, and the ability to customize your settings, a GPU Dedicated Server can help you to create a stable and efficient environment for your Android emulator.

User Case Studies

Leveraging GPU Mart for High-Performance Computing Solutions

AI Researcher

Game Developer

Live Streaming Company

Background

Ellery is an AI researcher working on training deep learning models for image classification tasks. She requires high-performance computing resources with GPU capabilities to train and optimize her AI models.

Challenges

Need for powerful servers with multiple GPUs to accelerate the training process and handle large datasets.

Requirement for reliable and responsive technical support to troubleshoot issues and optimize model training algorithms.

Desire for cost-effective hosting solutions to minimize expenses while maximizing computing power.

Solution

Ellery chose GPU Mart for its dedicated GPU servers optimized for AI model training. With GPU Mart's state-of-the-art hardware and expert technical support, she could efficiently train and optimize her deep learning models for image classification tasks. The cost-effective pricing of GPU Mart's hosting solutions allowed her to maximize her computing budget without compromising performance.

Outcome

Ellery's AI research projects progressed rapidly with GPU Mart's high-performance servers. She achieved significant improvements in model accuracy and training efficiency, thanks to GPU Mart's reliable infrastructure and responsive technical support. With GPU Mart's scalable hosting solutions, Ellery could easily adjust server resources to meet changing research requirements and accommodate growing datasets.

FAQs of GPU Dedicated Server Hosting

Find answers to the most frequently asked questions about GPU dedicated server hosting.

What is hosting with GPU?

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GPU hosting is a hosting for servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance.

What is GPU Dedicated Server?

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A GPU dedicated server is a physical server dedicated to a user or organization and equipped with one or more GPUs (graphics processing units). These servers are usually used for high-performance computing tasks that require a lot of parallel processing capabilities, such as scientific simulation, machine learning, and video rendering.
Compared with CPU-based servers, GPU servers are usually much faster for tasks that can be processed in parallel across multiple cores. This is because GPUs have much more cores than CPUs, which makes them very suitable for decomposing into many small computing tasks that can be executed at the same time. GPU dedicated servers can be purchased or leased from various hosting providers. They differ in GPU type, GPU quantity, available memory and storage. These servers can be managed remotely, allowing users to access their computing resources from anywhere through Internet connections.

What is dedicated server with GPU Rental?

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A dedicated server with GPU rental is a service offered by hosting providers that allows users to rent a dedicated physical server equipped with one or more GPUs (graphics processing units) for a specified period of time. This service can be particularly useful for tasks that require high-performance computing resources, such as machine learningientific simulations, and video rendering.
Unlike virtualized GPU instances, dedicated servers with GPU rental offer users full access to the physical hardware, providing more control and customization options. Users can install their own software and configure the server to meet their specific requirements. Additionally, dedicated servers with GPU rental can offer more consistent performance and higher throughput compared to shared resources. When renting a dedicated server with GPU, users can typically choose from a range of specifications, including the type and number of GPUs, the amount of memory and storage, and the processing power of the CPU. The cost of the service will depend on the specifications selected and the duration of the rental.

How do I choose the right GPU instance for my needs?

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When choosing a GPU instance, you should consider factors such as the type and complexity of the applications you will be running, the amount of memory and storage you need, and the level of support and customization you require.

Can I use a GPU dedicated server for streaming or running Android emulators?

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Yes, a GPU dedicated server can be used for streaming and running Android emulators. By providing improved performance, faster processing, multi-tasking, and customization options, a GPU dedicated server can help you to create a stable and efficient environment for these applications.

What are some common GPUs used in hosting environments?

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Some common GPUs used in hosting environments include Nvidia GeForce, Quadro, Tesla, and RTX Server. The specific GPU you choose will depend on your needs and the applications you will be running.

Why put a GPU in a server?

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Putting a GPU in a server can significantly increase its computing power, making it capable of handling more complex and demanding tasks. GPUs, or graphics processing units, are highly specialized processors that are designed to handle parallel computing tasks, such as those required for machine learning, scientific simulations, and gaming.
Compared to traditional central processing units (CPUs), GPUs are more efficient at handling compute-intensive workloads because they can perform multiple calculations simultaneously. This is due to the fact that GPUs have many more cores than CPUs, which allows them to process data much faster and in parallel.
By adding a GPU to a server, you can accelerate compute-intensive applications and reduce processing times, leading to improved performance, reduced latency, and increased efficiency. This is particularly important for applications that require real-time processing, such as video rendering, transcoding, and streaming, or for tasks that involve large datasets, such as machine learning and data analytics.

How to get a free trial for GPU server?

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We’re excited to offer a 24-hour free trial for new clients to test our servers. To request a trial, please follow these steps:

1. Choose a plan and click 'Order Now'.
2. Enter ‘24-hour free trial’ in the notes section and click “Check Out”.
3. Click 'Submit Trial Request' at the top right corner, and complete your personal information as instructed; no payment is required.

Once we receive your trial request, we’ll send you the login details within 30 minutes to 2 hours. If your request cannot be approved, you will be notified via email.