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AI dedicated servers

AI & machine learning high-performance GPU servers

Accelerate your AI training and inference workloads with enterprise-grade GPU-powered dedicated servers, engineered for handling complex neural networks and parallel computing tasks.

NVIDIA A100 & H100 GPUs TensorFlow & PyTorch ready CUDA acceleration

Discover our range of GPU server configurations

Select from professional GPU accelerators and pre-configured ML environments designed for demanding artificial intelligence applications.

NVIDIA H100 GPUs

Next-generation Hopper architecture delivering unprecedented AI compute performance, specifically optimized for transformer models and generative AI applications.

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AMD Instinct GPUs

High-performance compute accelerators offering exceptional memory throughput, ideal for training large-scale neural networks and scientific simulations.

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NVIDIA L40S GPUs

Versatile accelerator platform delivering combined AI processing, visual computing, and media transcoding with industry-leading efficiency.

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LLM Servers

Specialized bare-metal infrastructure designed for running foundation models, featuring multi-GPU configurations and high-capacity memory systems.

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AMD Ryzen AI

Advanced CPU architecture with built-in neural processing unit, delivering power-efficient AI acceleration for real-time inference applications.

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NVIDIA Spark GPU

Accelerated data science platform combining GPU computing with distributed analytics, powered by RAPIDS for high-speed ML workflows.

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OpenClaw AI Framework

Turnkey development platform with pre-installed OpenClaw tooling, complete with integrated debugging and production deployment capabilities.

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GPU bare-metal servers engineered for AI workloads

Deploy powerful GPU infrastructure optimized for running sophisticated machine learning algorithms and neural network training.

Artificial Intelligence

GPU-accelerated computing

Leverage the synergy of professional GPU accelerators paired with dedicated bare-metal infrastructure to achieve maximum computational throughput. A single GPU server can consolidate the workload of 30+ traditional machines.

Optimized hardware

Access carefully configured systems where CPUs and GPUs work in harmony to maximize performance for neural network training, inference, and complex AI computations.

Always-on assistance

Expert GPU support engineers are standing by 24/7/365 to help with technical challenges via phone or real-time chat.

Deep Learning

Production-grade platform

Run computationally demanding workloads on bare-metal GPU infrastructure purpose-built for intensive neural network model training and experimentation.

Latest GPU technology

Harness cutting-edge accelerators from NVIDIA, AMD and Intel featuring rapid tensor operations and memory bandwidth ideal for ML pipelines and AI research.

Guaranteed uptime

Count on industry-leading 99.9% availability backed by ML infrastructure specialists providing continuous technical support.

Rapid GPU server provisioning

Cost-effective GPU infrastructure

Professional NVIDIA A100 and H100 accelerators available from $1.10 per hour with flexible billing.

Immediate bare-metal access

Provision your GPU server within minutes on our worldwide infrastructure protected by 99.9% uptime commitment.

Global locations

Choose GPU server deployment across strategic data centers: New York, Miami, Amsterdam, or Bucharest.

Hourly price per A100 GPU

AWS
$2.09
GCP
$1.15
Server Room
$0.55

FAQ

Common inquiries about deploying GPU infrastructure for artificial intelligence, deep learning, and machine learning projects.

Do GPU servers include CUDA toolkit and ML framework support?

Yes, all GPU servers ship with CUDA drivers pre-installed and full compatibility with leading frameworks including TensorFlow, PyTorch, Keras, and Caffe. Begin model training immediately upon server provisioning.

How can I expand my GPU capacity for growing AI workloads?

GPU resources are highly flexible. Upgrade to more powerful accelerator configurations or deploy additional bare-metal servers as your datasets expand and model architectures become more sophisticated. Our infrastructure team provides scaling consultation for complex AI deployments.

What network speeds are available for transferring training data?

All GPU servers connect to our high-throughput backbone network featuring GPU-optimized routing and minimal latency, ensuring rapid movement of massive datasets, model weights, and inference outputs.

Is specialized GPU technical support available?

Absolutely. Our technical support team includes dedicated GPU infrastructure specialists experienced in CUDA performance tuning, GPU memory optimization, distributed training architectures, and resolving hardware-specific bottlenecks. Available 24/7 through phone and live chat channels.

Why Server Room?

Access cost-effective bare-metal servers with unlimited bandwidth, provisioned instantly across our purpose-built global network infrastructure, protected by 99.9% uptime guarantee, and supported by technical specialists available around the clock via phone and live chat.