GPU For Deep Learning

GPU Cloud Turbo Deep Learning For All
  • High-performance GPUs
  • Libraries & AI software stack
  • Compatible ML frameworks
$ 60
/mo
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GPU For Deep Learning | MilesWeb
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High-performance, low-cost deep learning GPU plans

Buy our affordable NVIDIA deep learning GPU solutions designed to supercharge your projects. Now achieve the AI excellence that you dreamt of at the best price and configurations.

GPU Cloud
GPU Bare Metal
Get Custom Quote
GPU 1/8
  • 2 GB GPU RAM
  • 2 vCPUs vCPUs
  • 8 GB RAM
  • 50 GB Storage
  • 1 TB Bandwidth
$60 /mo
GPU 1/4
  • 4 GB GPU RAM
  • 2 vCPUs vCPUs
  • 16 GB RAM
  • 80 GB Storage
  • 2 TB Bandwidth
$115 /mo
GPU 1/2
  • 8 GB GPU RAM
  • 3 vCPUs vCPUs
  • 32 GB RAM
  • 170 GB Storage
  • 3 TB Bandwidth
$225 /mo
GPU 1
  • 16 GB GPU RAM
  • 6 vCPUs vCPUs
  • 64 GB RAM
  • 350 GB Storage
  • 6 TB Bandwidth
$450 /mo
GPU 2
  • 32 GB GPU RAM
  • 12 vCPUs vCPUs
  • 128 GB RAM
  • 700 GB Storage
  • 10 TB Bandwidth
$900 /mo
GPU 4
  • 64 GB GPU RAM
  • 24 vCPUs vCPUs
  • 256 GB RAM
  • 1200 GB Storage
  • 12 TB Bandwidth
$1,795 /mo
GPU 8
  • 128 GB GPU RAM
  • 48 vCPUs vCPUs
  • 496 GB RAM
  • 1500 GB Storage
  • 15 TB Bandwidth
$3,575 /mo
GPU 16
  • 256 GB GPU RAM
  • 96 vCPUs vCPUs
  • 960 GB RAM
  • 1700 GB Storage
  • 25 TB Bandwidth
$7,150 /mo
GPU 1/24
  • 2 GB GPU RAM
  • 1 vCPUs vCPUs
  • 5 GB RAM
  • 90 GB Storage
  • 3 TB Bandwidth
$75 /mo
GPU 1/12
  • 4 GB GPU RAM
  • 2 vCPUs vCPUs
  • 10 GB RAM
  • 180 GB Storage
  • 4 TB Bandwidth
$140 /mo
GPU 1/6
  • 8 GB GPU RAM
  • 4 vCPUs vCPUs
  • 20 GB RAM
  • 360 GB Storage
  • 5 TB Bandwidth
$270 /mo
GPU 1/4
  • 12 GB GPU RAM
  • 6 vCPUs vCPUs
  • 30 GB RAM
  • 550 GB Storage
  • 6 TB Bandwidth
$410 /mo
GPU 1/3
  • 16 GB GPU RAM
  • 8 vCPUs vCPUs
  • 40 GB RAM
  • 740 GB Storage
  • 8 TB Bandwidth
$545 /mo
GPU 1/2
  • 24 GB GPU RAM
  • 12 vCPUs vCPUs
  • 60 GB RAM
  • 1110 GB Storage
  • 10 TB Bandwidth
$810 /mo
GPU 1
  • 48 GB GPU RAM
  • 24 vCPUs vCPUs
  • 120 GB RAM
  • 1400 GB Storage
  • 15 TB Bandwidth
$1,625 /mo
GPU 4
  • 192 GB GPU RAM
  • 96 vCPUs vCPUs
  • 480 GB RAM
  • 1400 GB Storage
  • 60 TB Bandwidth
$6,500 /mo
GPU 1/20
  • 4 GB GPU RAM
  • 1 vCPUs vCPUs
  • 6 GB RAM
  • 70 GB Storage
  • 1 TB Bandwidth
$120 /mo
GPU 1/10
  • 8 GB GPU RAM
  • 1 vCPUs vCPUs
  • 12 GB RAM
  • 140 GB Storage
  • 1 TB Bandwidth
$235 /mo
GPU 1/7
  • 10 GB GPU RAM
  • 2 vCPUs vCPUs
  • 15 GB RAM
  • 170 GB Storage
  • 2 TB Bandwidth
$325 /mo
GPU 1/3
  • 20 GB GPU RAM
  • 3 vCPUs vCPUs
  • 30 GB RAM
  • 350 GB Storage
  • 3 TB Bandwidth
$585 /mo
GPU 1/2
  • 40 GB GPU RAM
  • 6 vCPUs vCPUs
  • 60 GB RAM
  • 700 GB Storage
  • 6 TB Bandwidth
$1,140 /mo
GPU 1
  • 80 GB GPU RAM
  • 12 vCPUs vCPUs
  • 120 GB RAM
  • 1400 GB Storage
  • 10 TB Bandwidth
$2,275 /mo
GPU 2
  • 160 GB GPU RAM
  • 24 vCPUs vCPUs
  • 240 GB RAM
  • 1400 GB Storage
  • 10 TB Bandwidth
$4,550 /mo
GPU 4
  • 320 GB GPU RAM
  • 48 vCPUs vCPUs
  • 480 GB RAM
  • 1400 GB Storage
  • 15 TB Bandwidth
$9,100 /mo
GPU 8
  • 640 GB GPU RAM
  • 96 vCPUs vCPUs
  • 960 GB RAM
  • 2200 GB Storage
  • 25 TB Bandwidth
$18,200 /mo
GPU 1
  • 48 GB GPU RAM
  • 16 vCPUs vCPUs
  • 240 GB RAM
  • 1200 GB Storage
  • 10 TB Bandwidth
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GPU 2
  • 96 GB GPU RAM
  • 32 vCPUs vCPUs
  • 480 GB RAM
  • 2200 GB Storage
  • 10 TB Bandwidth
Contact Us
GPU 8
  • 384 GB GPU RAM
  • 128 vCPUs vCPUs
  • 1920 GB RAM
  • 9600 GB Storage
  • 10 TB Bandwidth
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GPU 8
  • 640 GB GPU RAM
  • 224 vCPUs vCPUs
  • 2048 GB RAM
  • 32640 GB Storage
  • 15 TB Bandwidth
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GPU 8
  • 640 GB GPU RAM
  • 112 vCPUs vCPUs
  • 2048 GB RAM
  • 32640 GB Storage
  • 15 TB Bandwidth
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GPU 1
  • 96 GB GPU RAM
  • 72 vCPUs vCPUs
  • 480 GB RAM
  • 4800 GB Storage
  • 25 TB Bandwidth
Contact Us
GPU1
SAVE 15%
NVIDIA RTX A4000 GPU
  • 2x 8 Cores
  • 16 Cores 32 Threads
  • 64 GB RAM
  • 2 TB SSD Storage
  • 3 TB Bandwidth
  • 1 Gbps Network
  • 99.9% SLA
$380.00
$323.00 /mo
GPU2
SAVE 15%
NVIDIA RTX A4000 GPU
  • 2x 8 Cores
  • 16 Cores 32 Threads
  • 128 GB RAM
  • 2 TB SSD Storage
  • 3 TB Bandwidth
  • 1 Gbps Network
  • 99.9% SLA
$400.00
$340.00 /mo
GPU3
SAVE 15%
NVIDIA RTX A5000 GPU
  • 2x 8 Cores
  • 16 Cores 32 Threads
  • 64 GB RAM
  • 2 TB SSD Storage
  • 3 TB Bandwidth
  • 1 Gbps Network
  • 99.9% SLA
$440.00
$374.00 /mo
GPU4
SAVE 15%
NVIDIA RTX A5000 GPU
  • 2x 8 Cores
  • 16 Cores 32 Threads
  • 128 GB RAM
  • 2 TB SSD Storage
  • 3 TB Bandwidth
  • 1 Gbps Network
  • 99.9% SLA
$460.00
$391.00 /mo
GPU5
SAVE 15%
NVIDIA RTX 3090 GPU
  • 2x 10 Cores
  • 20 Cores 40 Threads
  • 128 GB RAM
  • 2 TB SSD Storage
  • 3 TB Bandwidth
  • 1 Gbps Network
  • 99.9% SLA
$420.00
$357.00 /mo
GPU6
SAVE 15%
2x NVIDIA RTX 3090 GPU
  • 2x 8 Cores
  • 16 Cores 32 Threads
  • 64 GB RAM
  • 2 TB SSD Storage
  • 3 TB Bandwidth
  • 1 Gbps Network
  • 99.9% SLA
$940.00
$799.00 /mo
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GPU for deep learning & exceptional value

AI/ML/deep learning/LLM oriented
We understand the need for top-line computing power to train complex models and process large datasets. Hence, we have customized our GPU clusters for all your AI/ML/Deep Learning/LLM projects.
Steady deep learning performance
Reliable performance is what you need to achieve your AI goals, and with MilesWeb's cheap GPU servers, you can count on consistent, high performance, reliability, and efficiency at the best rates..
Lightning page-speed | MilesWeb
NVIDIA GPUs Chipsets

We utilize NVIDIA GPU chipsets to take your training and inference of deep learning networks to state-of-the-art performance.

Top-tier security
All our best GPUs for deep learning servers are known for their commitment to security. Thus, we ensure your sensitive data and AI models are layered with safety in a secure GPU cloud environment.
Power Integrated Servers | MilesWeb
Power integrated servers

Benefit from the latest NVIDIA architectures on our GPU servers that provide extra computing power and memory bandwidth for your deep learning models.

Advanced-data analytics
We help you analyse large datasets with ease using our deep-learning GPU servers. It ultimately gives you all the necessary tools and resources for efficient data analytics and computational power.
How MilesWeb's GPU for deep learning empower you?

Versatility runs through MilesWeb's deep-learning GPU servers for handling a wide range of applications. From accelerating processes to tackling complex tasks, we outperform each.

  • Get rapid and accurate medical, radiological, and diagnostic image analysis.
  • We power your NLP projects, featuring opinion mining and text translation for advanced sentiment analysis.
  • GPU clusters for deep learning utilize advanced machine learning algorithms offering real-time fraud detection.
  • Bring your game ideas to life with our cloud GPU servers with all the tools and configurations.
  • Make data-driven decisions or improve weather forecasting accuracy hassle-free.
How MilesWeb's GPU For Deep Learning | MilesWeb

Why choose MilesWeb’s NVIDIA deep learning GPUs?

Full root/admin access
We care about your choices; hence, we offer you complete control over your GPU for deep learning servers with full root access. With the ultimate control, you enjoy ways of customizations and optimizations to meet server environment needs.
Intel Xeon CPU | MilesWeb
Intel Xeon CPU
Your AI projects need a perfect balance between an efficient computing environment and optimal performance. Therefore, our NVIDIA deep learning GPUs are paired with powerful Intel Xeon CPUs for both CPU- and GPU-intensive tasks.
SSD NVMe storage
Handle the demanding I/O requirements of deep learning models without lag time. Yes, with MilesWeb's SSD NVMe storage, your cloud GPU deep learning will be lightning-fast and seamless. So whether it's data access, training times, or more, it's simple.
99.9% uptime guarantee
Rely on our industry-leading 99.9% uptime guarantee. This flexibility provides uninterrupted access, maximum performance, high reliability, and smooth operations for all your AI projects and workflows without downtime.
Dedicated IP
Yes, with MilesWeb's best GPU for deep learning, you get dedicated IP without additional cost. Therefore, all our users have a stable and secure connection to their GPU server environment, eliminating the risk of shared resources and threats.
Why NVIDIA GPUs | MilesWeb
Why NVIDIA GPUs are the best choice for deep learning?

Every project is unique! Hence, MilesWeb tries to cater to all unique needs. We felicitate high scalability with multi-GPU instances. You get to choose from 1x, 2x, 4x, or 8x NVIDIA GPU instances to optimize performance and cost-efficiency, sufficing your deep learning workloads. With varied instances to deploy, you can train and fine-tune your AI models by selecting the most suitable configurations.

Customize your AI experience with essential frameworks
TensorFlow | MilesWeb
Google's flexible framework for deep learning.
Jupyter | MilesWeb
Interactive environment for prototyping and exploring models.
Customize Your AI Experience | MilesWeb
PyTorch | MilesWeb

Dynamic computational graph for research and experimentation.

Keras | MilesWeb

High-level API for building and training models.

Caffe | MilesWeb

Convolutional neural network framework with high efficiency.

Theano | MilesWeb

Foundation for building deep learning models.

NVIDIA GPU for deep learning FAQs

What is deep learning?

Deep learning is one of the most advanced types of machine learning, wherein data is retained by interacting with artificial neural networks. The same concept extends from how the human brain is formed, which has several layers of connected nodes that perform the processing work, making GPUs essential in deep learning.

How do you choose GPU servers for deep learning?

Choosing the cloud GPU servers for deep learning should be based on the capability to perform parallel processes, complex training, and high computations efficiently. Hence, your choice should include a GPU server that typically involves large neural networks through the utilization of large volumes of input data.

Which budget-friendly GPU servers are optimal for deep learning?

Each deep learning task is different and therefore requires different server configurations. However, basic deep learning tasks start with our entry-level NVIDIA GPUs, which are highly cost-effective and best for beginners.

Are cloud GPU servers crucial for deep learning processes?

Dedicated GPU servers can handle complex mathematical operations and heavy workloads in parallel. Hence, a graphics processor (GPU) is essential for various deep-learning processors.

Why is a GPU best for neural networks?

Cloud GPUs are purpose-built chips for performing all the parallel processing that is required in neural network training. Such large-scale parallel calculations can only take place in modern graphic processing units, and thus GPUs are the best for deep learning as they cut down on possible bottlenecks within the entire deep learning training stage. 

Can I use GPU servers for tasks other than deep learning?

Yes, our low price GPU servers are used for various tasks other than deep learning. They have perfect applications in any computation-heavy activity, such as scientific research, interactive data analysis, editing of videos and movies, and much more. With the best cloud GPU cluster for deep learning, you can perform all the hefty computational tasks with ease.

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