GPU Servers for Machine Learning & Deep Learning - Train Models Faster
Accelerate Your Machine Learning Projects with High-Performance Nvidia GPU Servers
High-Performance GPU for Machine Learning & Deep Learning
Handling large datasets and complex computations is a common challenge in machine learning and deep learning tasks. MaxCloudON offers dedicated GPU servers for machine learning, providing the power and efficiency to process vast amounts of data and execute intricate algorithms swiftly.
Our servers are equipped with high-performance NVIDIA GPUs, including the latest GPU architectures like the NVIDIA A6000, offering substantial GPU memory and Tensor Cores. This setup ensures optimal GPU performance for training advanced neural networks and deep learning applications.
Whether you’re developing machine learning models like linear regression, logistic regression, clustering, decision trees, or deep neural networks, our GPU servers provide the necessary GPU resources and parallel processing capabilities to accelerate your machine learning projects.
MaxCloudON’s GPUs for machine learning are ideal for AI researchers, developers, and data scientists aiming to accelerate training, reduce costs, and scale their projects effortlessly. Deploy your machine learning server swiftly, leveraging high-performance and parallel computing capabilities. Our infrastructure supports multiple GPUs and ample GPU RAM to handle intensive deep learning workloads.
- Powerful NVIDIA RTX™ GPUs
- Linux or Windows Server options
- Full control: install any ML frameworks (TensorFlow, PyTorch, Keras)
- Instant access, transparent pricing, and no hidden fees
Optimized for Diverse Machine Learning Applications
Our GPUs for machine learning have many processing cores and substantial memory bandwidth. They are capable of executing sequential tasks and complex computations with ease, ensuring that your machine-learning tasks are completed fast and secure.
- Deep Learning: Train and deploy deep neural networks efficiently.
- Natural Language Processing (NLP): Process and analyze large volumes of textual data.
- Computer Vision: Implement image and video analysis applications.
- Predictive Analytics: Build models for forecasting and decision-making.
Deploy Your GPU Server for Machine Learning in 4 Steps
- Sign up: Create your account with a valid email address.
- Select GPU configuration: Choose the GPU server that aligns with your machine learning requirements.
- Deploy & Configure: Install your machine learning frameworks and libraries.
- Manage your machine learning tasks on a high-performance Nvidia GPU: Begin developing and training your machine learning models.
Why Choose MaxCloudON GPUs for Your Machine Learning Projects?
MaxCloudON’s GPU servers are equipped with advanced Nvidia GPUs, providing the computational power necessary for handling the demanding tasks of machine learning algorithms. Our GPUs for machine learning enable efficient parallel computing, essential for training complex neural networks, and offer scalability to accommodate the evolving requirements of your machine learning projects.
With MaxCloudON, you maintain complete control over your machine learning processes, ensuring flexibility and adaptability.
Powerful Nvidia GPUs
Instant access to the computational power of NVIDIA RTX™ GPUs, offering up to 240GB VRAM, ideal for training complex models and handling large datasets.
Full Control & Customization
Install and configure your preferred machine learning frameworks, including TensorFlow, PyTorch, and Keras.
Parallel Computing
Our GPUs offer the parallel computing power needed for training complex neural networks thanks to their many processing cores.
Scalability
Quickly scale up by adding more GPUs, ensuring optimal performance for larger datasets and more complex models.
Flexible Server Configurations
Select from GPU configurations to match your specific machine learning workloads, ensuring optimal performance and cost-efficiency.
Instant Deployment
Get your machine learning server up and running in minutes, allowing you to focus on development without delays.
Transparent Pricing
Benefit from clear, upfront pricing with no hidden fees, and choose from daily, weekly, or monthly plans to suit your project timeline.
24/7 Expert Support
Our dedicated support team is available around the clock to assist with any technical queries or issues.
Unshared servers
We offer dedicated GPUs for machine learning - not shared between multiple users.
Cancel Any Time
No long-term commitments - you can cancel your subscription plan at any time.
For a broader overview of our GPU server offerings and to explore configurations suited for various high-performance computing tasks, visit our Cloud GPU Servers page.
GPU Servers For Machine Learning - Transparent & Flexible Pricing
MaxCloudON provides competitive pricing on high-performance GPU servers tailored for machine learning and deep learning tasks. Our flexible plans (daily, weekly, or monthly subscription) ensure you can select the perfect fit for your project’s needs and budget.
Explore our most popular GPU server plans below:
Want to see more? Check out our full pricing page for a detailed comparison of all our subscription options, including both CPU and GPU servers.
Cloud GPU
Server MAX7
Plans: Daily/Weekly/Monthly
starting at
$
32 day - $ 340 month
-
Ideal for entry-level machine learning and deep learning projects
-
GPUs: 4 x NVIDIA® RTX™ 3060
-
VRAM: 48GB (4 X 12GB)
-
RAM: 120GB
-
CPU: Intel Xeon E5-2660v2
-
Cores/Threads: 20 VCPU
-
Storage: 500GB NVMe SSD
-
OS: Windows Server, Linux
-
Public IP address: Yes
-
Traffic: Unmetered
Budget
Cloud GPU
Server MAX5
Plans: Daily/Weekly/Monthly
starting at
$
46 day - $ 504 month
-
Ideal for developing and training medium-sized machine learning models
-
GPUs: 2 x NVIDIA® RTX™ 3090
-
VRAM: 48GB (2 X 24GB)
-
RAM: 120GB
-
CPU: Intel Xeon E5-2660v2
-
Cores/Threads: 20 VCPU
-
Storage: 500GB NVMe SSD
-
OS: Windows Server, Linux
-
Public IP address: Yes
-
Traffic: Unmetered
Popular
Cloud GPU
Server MAX4
Plans: Daily/Weekly/Monthly
starting at
$
81 day - $ 892 month
-
Ideal for running advanced AI models and training large-scale deep neural networks
-
GPUs: 4 x NVIDIA® RTX™ 3090
-
VRAM: 96GB (4 X 24GB)
-
RAM: 240GB
-
CPU: Intel Xeon E5-2660v2
-
Cores/Threads: 40 VCPU
-
Storage: 500GB NVMe SSD
-
OS: Windows Server, Linux
-
Public IP address: Yes
-
Traffic: Unmetered
High-end
Get A 48 Hours Free Trial* CPU Server
If you are still unsure about our service – why not get free access to a CPU server as a “Proof of Service”?
( * Registration is required, with no need for a bank card or any obligation )
Customer Testimonials
Hear from our satisfied customers and learn how MaxCloudON has revolutionized their workflow and helped them save time and money
“The fastest dedicated VPS we have used. The rendering nodes are really dedicated and you’ll get what is advertised. It’s applicable, from a small freelance artist to a big design studio.”
★★★★★ 5/5
Nikolay Grozev
Principal/Creative Director of Clusters Creative
“We have used the services of Rend-it (now MaxCloudON) many times when we have not been able to meet the deadline with what we have in our in-house Render farm. Quick and responsible, they have always saved us.”
★★★★★ 5/5
Svetlin Mihailov
Founder and CEO of Vaya Studios
“Best cloud. Excellent service and support, awesome pricing. There are no restrictions on the installed software. Once the servers were configured, my company used them for months without making any changes.”
★★★★★ 5/5
Mario Mladenov
Information Technology Manager at Visual Method
Frequently Asked Questions
What machine learning frameworks are supported on MaxCloudON GPU servers?
MaxCloudON GPU servers are compatible with a wide range of machine learning and deep learning frameworks, including TensorFlow, PyTorch, Keras, and more. You have full control over installing and configuring any tools that suit your project needs.
Can I use MaxCloudON GPU servers for tasks beyond machine learning?
Absolutely! While optimized for machine learning and deep learning workloads, our GPU servers are also suitable for tasks like data analytics, scientific simulations, and high-performance computing applications.
How does GPU acceleration benefit machine learning?
Graphics Processing Unit (GPU) acceleration plays a significant role in machine learning tasks, particularly in natural language processing and training deep learning models. GPUs excel at managing the computational demands and handling large datasets required for these intricate tasks, leading to faster and more efficient processing.
What sets MaxCloudON's GPU servers apart as the best server for deep learning?
MaxCloudON provides top-tier deep learning performance GPU servers equipped with Nvidia GPUs. Thanks to their powerful processing cores and extensive memory bandwidth, these servers are ideal for managing intense artificial intelligence model calculations and heavy machine learning workloads.
Can I scale my resources based on my project's needs?
Absolutely! Our servers are designed with scalability in mind. Whether working on natural language processing or other machine learning tasks, you can increase your GPU capacity and overall processing power as your requirements grow.
How quickly can I deploy a GPU server with MaxCloudON?
Our platform allows for instant deployment. Once you’ve selected your desired configuration, your GPU server will run within minutes, enabling you to start your projects immediately.
Is technical support available if I encounter issues?
Yes, MaxCloudON offers 24/7 expert support to assist you with any technical questions or challenges you may face during your project.
How does MaxCloudON ensure the security of my data?
We prioritize the security of your data by implementing state-of-the-art measures. Whether through VPN or Web Remote access, we offer strong encryption protocols to ensure your deep learning models and all associated data are kept confidential and secure, allowing you to focus on your machine learning tasks without concern.
What is the refund policy if I'm not satisfied with the service?
If you’re not satisfied with our service, you can request a refund. Simply cancel within 14 days of payment, and you’ll receive a refund for the unused portion of your plan. For monthly payments, the refund is calculated based on the daily rate from the server’s weekly price.
Do you offer any trial periods for new users?
Yes, we provide a 48-hour Free Trial of a basic CPU server, allowing you to experience our services before committing. Please note that registration is required, but no payment information is necessary.
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