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Hosted AI and Deep Learning Dedicated Server
GPUs can offer significant speedups over CPUs when it comes to training deep neural networks. We provide bare metal servers with GPUs that are specifically designed for deep learning and AI purposes.
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Plans & Prices of GPU Servers for Deep Learning and AI
Express GPU VPS - GT730
Features
- 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
Price: $21.00/m
Express GPU VPS - K620
Features
- 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: 0.692 TFLOPS
Price: $21.00/m
Basic GPU VPS - P600
Features
- 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
Price: $29.00/m
Lite GPU - GT710
Features
- 16GB RAM
- Quad-Core Xeon X3440
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GT710
- Microarchitecture: Kepler
- Max GPUs: 1
- CUDA Cores: 192
- GPU Memory: 1GB DDR3
- FP32 Performance: 0.336 TFLOPS
Price: $45.00/m
Lite GPU - GT730
Features
- 16GB RAM
- Quad-Core Xeon E3-1230
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GT730
- Microarchitecture: Kepler
- Max GPUs: 1
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.692 TFLOPS
Price: $49.00/m
Lite GPU - K620
Features
- 16GB RAM
- Quad-Core Xeon E3-1270v3r
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro K620
- Microarchitecture: Maxwell
- Max GPUs: 1
- CUDA Cores: 384
- GPU Memory: 2GB DDR3
- FP32 Performance: 0.863 TFLOPS
Price: $49.00/m
Express GPU - P600
Features
- 32GB RAM
- Quad-Core Xeon E5-2643
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P600
- Microarchitecture: Pascal
- Max GPUs: 1
- CUDA Cores: 384
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.2 TFLOPS
Price: $52.00/m
Express GPU - P620
Features
- 32GB RAM
- Eight-Core Xeon E5-2670
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P620
- Microarchitecture: Pascal
- Max GPUs: 1
- CUDA Cores: 512
- GPU Memory: 2GB GDDR5
- FP32 Performance: 1.5 TFLOPS
Price: $59.00/m
Express GPU - P1000
Features
- 32GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P1000
- Microarchitecture: Pascal
- Max GPUs: 1
- CUDA Cores: 640
- GPU Memory: 4GB GDDR5
- FP32 Performance: 1.894 TFLOPS
Price: $64.00/m
Basic GPU - GTX 1650
Features
- 64GB RAM
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1650
- Microarchitecture: Turing
- Max GPUs: 1
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Price: $99.00/m
Basic GPU - T1000
Features
- 64GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro T1000
- Microarchitecture: Turing
- Max GPUs: 1
- CUDA Cores: 896
- GPU Memory: 8GB GDDR6
- FP32 Performance: 2.5 TFLOPS
Price: $79.2/m
Basic GPU - K80
Features
- 64GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 1100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Tesla K80
- Microarchitecture: Turing
- Max GPUs: 2
- CUDA Cores: 4992
- GPU Memory: 24GB GDDR5
- FP32 Performance: 8.73 TFLOPS
Price: $129.00/m
Professional GPU VPS - A4000
Features
- 32GB RAM
- 24 CPU Cores
- 320GB SSD
- 300Mbps Unmetered
- Bandwidth
- Once per 4 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
Price: $129.00/m
Basic GPU - GTX 1660
Features
- 64GB RAM
- Dual 10-Core Xeon E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbpsr
- OS: Linux / Windows 10
- GPU: Nvidia GeForce GTX 1660
- Microarchitecture: Turing
- Max GPUs: 1
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPS
Price: $139.00/m
Basic GPU - RTX 4060
Features
- 64GB RAM
- Eight-Core E5-2690
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForece RTX 4060
- Microarchitecture: Ada Lovelace
- Max GPUs: 2
- CUDA Cores: 3072
- Tensor Cores: 96
- GPU Memory: 8GB GDDR6
- FP32 Performance: 15.11 TFLOPS
Price: $149.00/m
Professional GPU - RTX 2060
Features
- 128GB RAM
- Dual 10-Core E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 2060
- Microarchitecture: Ampere
- Max GPUs: 2
- CUDA Cores: 1920
- Tensor Cores: 240
- GPU Memory: 6GB GDDR6
- FP32 Performance: 6.5 TFLOPS
Price: $111.3/m
Advanced GPU - RTX 3060 Ti
Features
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- Max GPUs: 2
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Price: $179.00/m
Advanced GPU - A4000
Features
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A4000
- Microarchitecture: Ampere
- Max GPUs: 2
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPS
Price: $209.00/m
Advanced GPU - V100
Features
- 128GB RAM
- Dual 12-Core E5-2690v3
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia V100
- Microarchitecture: Volta
- Max GPUs: 1
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Price: $229.00/m
Advanced GPU - A5000
Features
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A5000
- Microarchitecture: Ampere
- Max GPUs: 2
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Price: $269.00/m
Enterprise GPU - A40
Features
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A40
- Microarchitecture: Ampere
- Max GPUs: 1
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 37.48 TFLOPS
Price: $439.00/m
Enterprise GPU - RTX 4090
Features
- 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
- Max GPUs: 1
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
Price: $409.00/m
Enterprise GPU - RTX A6000
Features
- 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
- Max GPUs: 1
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Price: $409.00/m
Enterprise GPU - A100
Features
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- Microarchitecture: Ampere
- Max GPUs: 1
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2e
- FP32 Performance: 19.5 TFLOPS
Price: $639.00/m
Multi-GPU - 3xRTX 3060 Ti
Features
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: 3 x GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- Max GPUs: 3
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPS
Price: $369.00/m
Multi-GPU - 3xRTX A5000
Features
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: 3 x Quadro RTX A5000
- Microarchitecture: Ampere
- Max GPUs: 3
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPS
Price: $539.00/m
Multi-GPU - 3xRTX A6000
Features
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: 3 x Quadro RTX A6000
- Microarchitecture: Ampere
- Max GPUs: 3
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPS
Price: $899.00/m
Multi-GPU - 3xV100
Features
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: 3 x Nvidia V100
- Microarchitecture: Volta
- Max GPUs: 3
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Price: $469.00/m
Multi-GPU - 2xRTX 4090
Features
- 256GB RAM
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- Max GPUs: 2
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
Price: $639.00/m
Multi-GPU - 8xV100
Features
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: 8 x Nvidia Tesla V100
- Microarchitecture: Volta
- Max GPUs: 8
- CUDA Cores: 5,120
- Tensor Cores: 640
- GPU Memory: 16GB HBM2
- FP32 Performance: 14 TFLOPS
Price: $1499.00/m
Multi-GPU - 4xA100
Features
- 512GB RAM
- Dual 22-Core E5-2699v4
- 240GB SSD + 4TB NVMe + 16TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: 4 x Nvidia A100 with NVLink
- Microarchitecture: Ampere
- Max GPUs: 4
- CUDA Cores: 6912
- Tensor Cores: 432
- GPU Memory: 40GB HBM2e
- FP32 Performance: 19.5 TFLOPS
Price: $1899.00/m
6 Reasons to Choose our GPU Servers for Deep Learning
GPUHUT enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
Intel Xeon CPU
GPU hosting can provide significant cost savings compared to buying GPU computer. 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.
SSD-Based Drives
You can never go wrong with our own top-notch dedicated GPU servers for PyTorch, loaded with the latest Intel Xeon processors, terabytes of SSD disk space, and 128 GB of RAM per server.
Full Root/Admin Access
With full root/admin access, you will be able to take full control of your dedicated GPU servers for deep learning very easily and quickly.
99.9% Uptime Guarantee
With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for hosted GPUs for deep learning and networks.
Dedicated IP
One of the premium features is the dedicated IP address. Even the cheapest GPU dedicated hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.
DDoS Protection
Resources among different users are fully isolated to ensure your data security. DBM protects against DDoS from the edge fast while ensuring legitimate traffic of hosted GPUs for deep learning is not compromised.
Freedom to Create a Personalized Deep Learning Environment
The following popular frameworks and tools are system-compatible, so please choose the appropriate version to install. We are happy to help.
01.
TensorFlow
TensorFlow is an open-source library developed by Google primarily for deep learning applications. It also supports traditional machine learning.
02.
Jupyter Notebook
The Jupyter Notebook is a web-based interactive computing platform. It allows users to compile all aspects of a data project in one place making it easier to show the entire process of a project to your intended audience.
03.
PyTorch
PyTorch is a machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing. It provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration, Deep neural networks built on a tape-based autograd system.
04.
Keras
Keras is a high-level, deep-learning API developed by Google for implementing neural networks. It is written in Python and is used to implement neural networks easily. It also supports multiple backend neural network computations.
FAQs of GPU Servers for Deep Learning
The most commonly asked questions about our GPU Dedicated Server for AI and deep learning below:
Deep learning is a subset of machine learning and works on the structure and functions similarly to the human brain. It learns from unstructured data and uses complex algorithms to train a neural net.
We primarily use neural networks in deep learning, which is based on AI.
A teraflop is a measure of a computer’s speed. Specifically, it refers to a processor’s capability to calculate one trillion floating-point operations per second. Each GPU plan shows the performance of GPU to help you choose the best deep learning servers for AI researches.
Single-precision floating-point format,sometimes called FP32 or float32, is a computer number format, usually occupying 32 bits in computer memory. It represents a wide dynamic range of numeric values by using a floating radix point.
The NVIDIA Tesla V100 is good for deep learning. It has a peak single-precision (FP32) throughput of 15.0 teraflops and comes with 16 GB of HBM memory.
The best budget GPU servers for deep learning is the NVIDIA Quadro RTX A4000/A5000 server hosting. Both have a good balance between cost and performance. It is best suited for small projects in deep learning and AI.
When choosing a GPU server for deep learning, you need to consider the performance, memory, and budget. A good starting GPU is the NVIDIA Tesla V100, which has a peak single-precision (FP32) throughput of 14 teraflops and comes with 16 GB of HBM memory.
For a budget option, the best GPU is the NVIDIA Quadro RTX 4000, which has a good balance between cost and performance. It is best suited for small projects in deep learning and AI.
GPUs are important for deep learning because they offer good performance and memory for training deep neural networks. GPUs can help to speed up the training process by orders of magnitude.