GPU Dedicated Servers for High-Performance Computing
Deploy dedicated NVIDIA GPU infrastructure for AI, machine learning, deep learning, rendering, scientific computing and other GPU-accelerated workloads.
Dotzo GPU Dedicated Servers are part of our dedicated server hosting range and are designed for businesses, developers, researchers and creative teams that need significantly more parallel processing capability than traditional CPU-only servers.
Choose from available NVIDIA GPU configurations combined with enterprise CPUs, DDR4 or DDR5 memory, NVMe or SSD storage, and high-speed 1Gbps or 10Gbps network connectivity. For bandwidth-intensive deployments, compare our 10Gbps unmetered dedicated servers.
Full administrative access gives you the flexibility to install compatible NVIDIA drivers, CUDA libraries, AI frameworks, containers, development environments and project-specific applications. For driver, toolkit and CUDA compatibility information, refer to the official NVIDIA CUDA Toolkit resources.
GPU Acceleration
Dedicated NVIDIA GPU resources for compute-intensive workloads.
Multi-GPU Ready
Scale with available single or multi-GPU server configurations.
NVMe Storage
Fast storage for datasets, AI models and rendering assets.
Fast Network
1Gbps and 10Gbps connectivity options depending on the server.
Independent Reviews & Customer Feedback
Review independent hosting feedback alongside current GPU server specifications and availability.
Compare recent customer experiences, service feedback and hosting information before choosing a configuration.
Use current customer feedback together with location, hardware, network and support requirements when evaluating a server.
1 Gbps GPU Dedicated Server Plans & Pricing
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Features Included with GPU Dedicated Servers
Build GPU-accelerated infrastructure with dedicated compute resources, fast storage, high-speed networking and flexible server management.
AI & Deep Learning Ready
Run machine-learning training, neural networks, inference and compatible AI frameworks on dedicated GPU hardware.
Massive Parallel Processing
Use supported NVIDIA GPU parallel-processing capabilities for compute-heavy workloads that benefit from GPU acceleration.
Single & Multi-GPU Configurations
Select available single-GPU or multi-GPU systems when workloads require more GPU memory, compute throughput or parallel capacity.
NVMe & Enterprise Storage
Pair GPU compute with fast NVMe SSD, SSD or enterprise storage for datasets, model checkpoints, rendering assets and large files.
High-Speed Network Connectivity
Use available 1Gbps or 10Gbps network options for transferring large datasets, model files, media assets and workload outputs.
Remote Server Management
Manage your GPU server remotely with administrative access and available remote-management tools for the selected configuration.
Best Use Cases for GPU Dedicated Servers
Dedicated GPUs are designed for workloads that benefit from accelerated compute and parallel processing.
AI & Machine Learning
Train models, run inference, process datasets and operate compatible machine-learning pipelines on dedicated GPU resources.
3D Rendering & Visualization
Accelerate rendering, animation and visualization workloads with dedicated graphics compute.
Video Processing
Support compatible video encoding, transcoding, processing and media-generation workloads with GPU acceleration. For media-delivery workloads, also review our streaming dedicated servers.
Scientific Computing
Run compatible simulations, numerical workloads and research applications that use parallel GPU resources.
Data Analytics
Process large datasets and GPU-compatible analytics workloads where parallel compute can reduce processing time.
GPU Development
Build dedicated development and testing environments for CUDA, containers, frameworks and GPU-enabled applications.
GPU Dedicated Server Technical Specifications
Control Panels & Optional Add-ons
Choose optional control panels, operating-system licenses and server add-ons during checkout.
Run Your GPU Server on the OS You Trust
Install a compatible operating system and GPU software stack based on your selected NVIDIA hardware and application requirements.
AlmaLinux
Ubuntu
Windows
Debian
FedoraReliable Infrastructure & Technical Support
Keep GPU workloads running with redundant infrastructure, remote server access and 24/7 technical assistance.
99.99% Network Uptime
Redundant power and network design supports high availability. Review the applicable terms in our Service Level Agreement.
24/7 Technical Support
Get help through available support channels when server issues arise.
Quick Provisioning
Deployment time depends on GPU inventory and requested configuration.
Remote Management
Use available IPMI/KVM or control-panel tools for remote server administration.
DDoS Protection
Network-level protection is available according to the selected service.
Flexible Upgrades
Contact the team to review upgrade paths based on current hardware availability.
Need Help Choosing a GPU Dedicated Server?
Share your GPU model, framework, workload, memory, storage and network requirements. Our team can help you compare currently available GPU configurations.
Frequently Asked Questions About GPU Dedicated Servers
Common questions about GPU hosting, CUDA workloads, deployment, server access and hardware options.