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Dedicated AI Servers for Demanding Workloads
AI servers on dedicated bare metal equipped with powerful Nvidia GPU accelerators, ideal for AI, ML, and deep learning applications. Create your own AI server to match unique requirements, or deploy a pre-built GPU server optimized for AI workloads in minutes. Hourly billing. Free 24/7 technical support.
Benefits of Cherry Servers' AI Servers
GPU-Accelerated Performance
Our bare metal servers are based on new-generation AMD EPYC or Intel Gold CPUs and come with powerful Nvidia GPU accelerators, ideal for training, validating, and deploying machine learning models. The entire physical server is dedicated to you and guarantees better performance, security, and cost-efficiency.
Custom AI Server Configurations
Build your own high-end AI server optimized for demanding workloads. With a custom dedicated bare metal server, you can add Nvidia GPUs to enhance parallel processing capabilities. Choose multi-core CPUs, add up to 1TB RAM for data preprocessing and inference tasks, and up to 16TB NVMe storage for faster data access.
Free 24/7 Technical Support
We offer 24/7 support included in all plans, available via live chat, email, phone, Telegram, or Discord. Our technical experts are ready to assist and respond with a solution in under 15 minutes to ensure your servers operate seamlessly. Available via live chat, email, phone, Telegram, or Discord.
Popular GPU Servers for AI and Deep Learning
AI servers that are perfectly suited for high-end deep learning workloads, mission-critical machine learning applications and more.
CPU
48 threads @ 2.8GHz
24 physical cores
Benchmark 21090
RAM
64GB
up to 512GB
Storage
2x 250GB NVMe
up to 16 disks
Bandwidth
3Gbps
100TB / mo free traffic
GPU
Optional
up to 2 GPUs
CPU
52 threads @ 2.1GHz
26 physical cores
Benchmark 15390
RAM
64GB
up to 384GB
Storage
2x 250GB NVMe
up to 8 disks
Bandwidth
3Gbps
100TB / mo free traffic
GPU
Optional
up to 1 GPU
AMD RYZEN 7700X
LT
NL
US
SE
DE
CPU
16 threads @ 4.5GHz
8 physical cores
Benchmark 14560
RAM
64GB
up to 128GB
Storage
2x 1TB NVMe
up to 3 disks
Bandwidth
3Gbps
100TB / mo free traffic
Available Nvidia GPU Accelerators for Dedicated Servers
Nvidia A10 Tensor Core
Cores
9216 CUDA
Memory
24GB GDDR6
From
$0.479 /hr
From
$279.72 /mo
Nvidia A16 Tensor Core
Cores
5120 CUDA
Memory
64GB GDDR6
From
$0.498 /hr
From
$290.52 /mo
Nvidia A40
Cores
10752 CUDA
Memory
48GB GDDR6
From
$0.74 /hr
From
$436.30 /mo
Nvidia A100
Cores
6912 CUDA
Memory
80GB HBM2
From
$2.18 /hr
From
$1530.17 /mo
Nvidia Quadro K2200
Cores
640 CUDA
Memory
4GB GDDR5
From
$0.128 /hr
From
$74.52 /mo
Nvidia Quadro K4200
Cores
1344 CUDA
Memory
4GB GDDR5
From
$0.146 /hr
From
$85.32 /mo
Why choose Cherry Servers’ AI server infrastructure?
Dedicated Resources
Cherry Servers’ bare metal cloud infrastructure provides dedicated CPU, RAM, and storage resources, ensuring maximum performance without virtualization overhead. With custom AI servers, get enhanced data control and scale up or down as required.
GPU Acceleration
Easily add your preferred GPU upon deployment. GPUs accelerate complex mathematical operations, resulting in faster AI model training and real-time inference. You can pair CPUs with NVIDIA Tensor Core GPUs for high computing power to easily handle the most demanding AI models at scale.
Reliable Performance
While GPU highlights AI acceleration, high-performance CPUs play a pivotal role and ensure workloads run smoothly. Choose between AMD EPYC and Intel Gold processors for large-scale, data-heavy AI applications and reliability. Server configurations that support up to 128 CPU cores.
Create Your Own AI Server
Build your own AI server based on your application workloads, combining powerful CPUs, plenty of RAM, and cutting-edge Nvidia GPUs to unlock AI's full potential and enable faster training, more complex model handling, and superior overall performance. Only pay for what you need to maximize ROI.
Large NVMe Storage and RAM
AI training needs rapid and frequent access to data. Process extensive and complex AI models and datasets efficiently with up to 1TB of RAM. Integrate up to 64TB of directly attached NVMe storage to enable efficient data movement. Add free backup storage and extend it to 2TB later when you scale up.
Free Traffic
Enhance the overall efficiency, scalability, and flexibility of your AI applications. Get up to 100TB of free monthly egress traffic included, with any extra costs from $0.5/TB.
Premium Network Features
You can add private subnets and floating or DDoS-protected IPs on demand to manage the complexities of data handling and model deployment, ensuring that AI applications run efficiently and securely in a connected environment.
Our client success stories
AI Server Hardware Requirements
What is an AI Server?
An AI server is a purpose-built server that can handle demanding workloads of AI, providing the necessary computational power, storage, and networking capabilities. Configuration typically depends on the application, AI model size, datasets, and compatibility with the AI framework (TensorFlow, PyTorch).
For example, NPL works best on powerful CPUs for text processing, whereas computer vision needs more powerful GPUs for image/video analysis. Cloud-based infrastructure offers scalability and flexibility.
AI Server Requirements and Considerations
GPU-Powered server with one or multiple high-performance GPUs (like NVIDIA A100), depending on the size of the AI core/data. A strong CPU, with powerful processor (like AMD EPYC) with multiple cores ensures deep learning workloads run smoothly.
High RAM: 32 GB RAM would run basic tasks, but for most AI applications with large datasets, 64 GB RAM is recommended, and 128GB+ for heavy-duty workloads. Large storage for faster data access and processing—min 500 GB NVMe and up to 1TB NVMe drives, with additional storage for vast datasets.
Why Developers Love Cherry Servers?
Have questions about our server solutions or need assistance?
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AI servers frequently asked questions (FAQs)
What is an AI server?
An AI server is a purpose-built server that can handle demanding workloads of AI, machine learning, and deep learning tasks, providing the necessary computational power, storage, and networking capabilities. GPUs are a crucial AI server component for parallel processing tasks and large datasets. We offer pre-built GPU servers optimized for AI and deep learning workloads, and you can also customized your own AI server.
What is a GPU dedicated server?
GPU Dedicated Server is any Custom Dedicated Server that supports GPU accelerators. We offer Nvidia A100, A40, A16, A10, A2, Tesla P4, Quadro K2200 and K4200 GPU accelerators for you to choose from. These make an ideal machine learning, AI, and deep learning GPU servers, providing top performance and parallel processing capabilities that increase the overall computational efficiency.
How to build your own AI server?
You may add your selected GPU when deploying a custom dedicated server that supports GPU accelerators. It will take up to 24 hours to get your GPU dedicated server deployed. It will take from 24 to 72 hours to get your GPU dedicated server deployed, depending on your preferred region.
What operating systems are available?
We support the following operating systems for Instant Dedicated Servers: Ubuntu (20.04, 22.04, 24.04), CentOS (7), CloudLinux (7), Debian (11, 12), AlmaLinux (8, 9), OpenSUSE (Leap 15), Windows Server (2019, 2022), VMware ESXi (7, 8), and any other custom Operating System via IP KVM self-install.
What are some popular GPUs used in AI hosting?
Nvidia A100, Nvidia A40, and Nvidia A10 Tensor Core GPUs are commonly used in hosting environments. These GPUs are designed for HPC, deep learning, and data processing tasks, providing excellent parallel processing capabilities and efficiency.
Why use a GPU in your AI server?
The use of a GPU in a server greatly increases the computation power, primarily for parallel tasks. These include AI, machine learning, and deep learning. Large datasets and complex calculations yield optimal performance output when handled by GPUs and are thus more efficient compared to a CPU-only server.
