GPU Dedicated Servers
Optimize your AI, machine learning, and graphics-intensive tasks with GPU Dedicated Servers.
Deploy High-Performance Gpu Servers
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Quicken your computing. Overwhelm your world.
Explore by GPU Series
NVIDIA A100
Unprecedented acceleration for AI, data analytics, and HPC.
NVIDIA H100
The engine of the world’s AI infrastructure with Hopper architecture.
NVIDIA H200
Supercharge generative AI and HPC workloads with massive memory.
NVIDIA L40S
Breakthrough multi-workload performance for AI and graphics.
NVIDIA RTX 4090
The ultimate GeForce GPU for extreme computing and creation.
NVIDIA RTX 5090
Next-generation flagship performance for elite enthusiasts.
NVIDIA RTX PRO 6000
Master complex professional workflows with Ada Lovelace architecture.
Unlock the boundless control of NVIDIA Tesla GPUs.
Enter the next era of computing power.
GPU dedicated servers are the driving force behind the surging demand for high-throughput, parallel processing infrastructure. Whether your field is AI, machine learning, deep learning, big data analytics, 3D rendering, or high-definition streaming, the need for GPU acceleration is undeniable - traditional CPUs hit a wall where thousands of parallel cores keep going.
Advanced Technology
Break through computational barriers with dedicated NVIDIA GPUs. We stock the latest accelerators - A100, RTX 4090, and beyond - so you get the right hardware for the job, every time.
Scalable Performance
Scale from single-GPU setups to powerful multi-GPU systems. For maximum throughput, choose configurations with up to 8x NVIDIA GPUs interconnected with NVLink.
Power and Affordability
Build GPU-accelerated infrastructure without the upfront capital expense of hardware, while keeping access to the latest NVIDIA technology and full control of your spend.
The complete AI & HPC ecosystem, seamlessly integrated.
Today's most complex computational problems in AI and HPC demand software optimized for modern GPU architectures like NVIDIA Blackwell and Hopper. Anchored by the CUDA® platform, this ecosystem gives developers, data scientists, and researchers a full suite of tools: cuDNN and TensorRT for deep learning, cuBLAS and cuSPARSE for linear algebra, cuFFT and NVJPEG for image and video processing, NCCL for parallel algorithms, and a host of partner libraries. Combined with the immense power of the latest NVIDIA GPUs, CUDA is the essential foundation for any organization built on parallel computing.
Performance and platform, matched.
The iDatam dedicated server platform, accelerated by CUDA-enabled NVIDIA GPUs from the Hopper and Blackwell architectures, gives you direct access to a full suite of complementary cloud services - globally scalable security offerings, hybrid block storage, S3 API-compatible object storage, colocation, a globally DDoS-protected network, and a complete disaster recovery and backup portfolio. Our IaaS platform is built for demanding, specialized fields, including:
- Bioinformatics
- Computational Chemistry
- Computational Finance
- Machine Learning
- Data Science
- Medical Imaging
- Computational Fluid Dynamics
- Computational Structural Mechanics
- Electronic Design Automation (EDA)
- Imaging & Computer Vision
- Numerical Analytics
- Weather & Climate Modeling
Wherever the data leads, GPUs get you there faster.
Artificial Intelligence / Machine Learning / Deep Learning
Businesses are leveraging AI to gain a competitive edge - the ability to predict, classify, and analyze at scale is a game-changer when you're dealing with vast, complex, ever-expanding data. At the heart of that lies deep learning: training and inference on neural networks. As networks grow deeper and more complex, they demand more parallel-processing power, more memory bandwidth, and faster networking to keep training times realistic and inference fast in production.
High-Performance Computing (HPC) / Big Data
Solving complex computational problems quickly, handling gigantic datasets, and managing a constant flood of information are challenges met head-on with parallel processing. Our data centers, equipped with high-end NVIDIA Tesla GPUs, deliver the compute, storage, and network throughput these workloads demand - thousands of cores per GPU, paired with high-capacity networking and high IOPS storage, built for HPC and big data at scale.
Virtual Desktop Infrastructure (VDI) / Streaming / Rendering
From intensive rendering and image manipulation to video streaming and AI inference, GPU parallel processing powers secure, scalable, and highly responsive applications and virtual desktops - accessible anywhere, anytime. Paired with robust networking and high-speed NVMe/SSD storage, our GPU-accelerated servers deliver cost-effective, high-performance infrastructure for teams pushing the edge of what's possible.
Smarter than the sum of its silicon.
Deep learning is the driving force behind AI, powering the field and its practical applications today. From life sciences to engineering, financial modeling, natural language processing, and image recognition, adoption is growing exponentially every year - and its success is closely tied to the infrastructure working behind the scenes.
Deep Learning Training
Neural networks keep growing in complexity, with more layers and neurons - and that complexity can mean lower efficiency and higher costs. Training on GPUs cuts hardware requirements, improves scalability, shortens training time significantly, and lowers your overall deployment costs.
Deep Learning Inference
In production, trained networks are tasked with inference - recognizing speech, identifying images, predicting patterns, and more. Speed matters most here, especially for real-time predictions, alongside throughput, low latency, and network reliability. Dedicated servers with powerful GPUs deliver exactly that.
Access massive GPU processing power across our global network.
Build your vision with the world's most powerful AI frameworks.
AI and deep learning are defining the next wave of innovation, and to fully harness modern GPU hardware, developers need powerful, user-friendly tools. Deep learning frameworks provide those building blocks - the libraries, interfaces, and tooling that let data scientists and engineers create, train, and deploy sophisticated models. Today the landscape is led by two industry-standard frameworks, TensorFlow (with its Keras API) and PyTorch, supported by specialized libraries like Hugging Face Transformers that accelerate development.
World-class silicon, fully specced.
Configure from single-GPU servers to massively scalable, DGX-class platforms with 4x or 8x NVIDIA GPUs on high-speed NVLink - hundreds of thousands of CUDA and Tensor Cores, backed by the latest Intel® Xeon® Scalable processors, DDR5 RAM, and ultra-fast NVMe storage.
Advanced GPU infrastructure, within reach.
iDatam centers on your business goals while delivering cloud services shaped around how you actually work.
IaaS Platform Access
Full access to the iDatam IaaS platform - our dedicated server portfolio, security services, hybrid block storage, and fully S3-compatible object storage for disaster recovery and backup.
Dedicated GPUs
Fully dedicated GPUs attached directly to your servers. No virtualization, no shared resources - total access to the full power and configuration of NVIDIA Tesla GPUs.
No Upfront Investment
Access powerful GPU infrastructure without capital investment or complexity. Focus on growing your business and your bottom line, not financing hardware.
Our worldwide IT services guarantee reliability and peace of mind with:
- Locations across the US, Europe, and Asia-Pacific
- Backup, recovery, and DRaaS options
- Security services and compliance center
- Fully customizable high-performance computing
- 24/7 infrastructure monitoring
- 100% network uptime guarantee
- Industry-leading SLA
- Colocation and hardware leasing options
Competing today means access to advanced technology, usually paired with substantial investment costs. At iDatam, we make it simple. We specialize in giving businesses global reach through our key locations and modern infrastructure, so you can operate locally while avoiding capital expense. Worldwide IT services are our specialty - what's yours?
The power you need. The technology to make it possible.
Data centers are the foundation of cloud computing, powering business agility and faster time-to-market. Advanced cloud workloads demand massive compute as they process enormous volumes of data. As global markets expand and the world grows more connected, the need for greater power, speed, and responsiveness only increases. Accelerated computing shows up across industries - from artificial intelligence and scientific research to image and video rendering - and dedicated servers equipped with GPUs deliver the raw processing power the most advanced workloads require.
GPU Server FAQs
Common questions from enterprises deploying AI and ML infrastructure.
What GPU models are available for dedicated servers?
We offer a wide range of industry-leading NVIDIA GPUs, including the latest Hopper H100, Blackwell B200, A100, and RTX series (like the RTX 3090 and 4090). This allows you to scale from entry-level rendering to massive AI training workloads.
What are the primary use cases for a GPU dedicated server?
GPU servers excel at parallel processing tasks. They are ideal for Artificial Intelligence (AI) training and inference, Machine Learning (ML), Deep Learning (DL), 3D rendering, Big Data analytics, and Virtual Desktop Infrastructure (VDI).
How does the billing work for GPU dedicated servers?
We offer transparent, predictable pricing with no hidden fees. Choose flexible month-to-month billing with no long-term commitment, or opt for annual billing to secure discounted rates on your infrastructure.
Do you offer multi-GPU interconnected configurations?
Yes. For extreme performance requirements, we provide multi-GPU systems featuring 4x or 8x NVIDIA GPUs interconnected with high-speed NVLink, delivering the bandwidth required for intensive neural network training.
Is DDoS protection included with GPU servers?
Absolutely. Every GPU dedicated server comes with robust, globally scalable network infrastructure including automated, enterprise-grade DDoS mitigation to keep your mission-critical AI workloads online.