Enterprise-Grade GPU Hardware
Dedicated NVIDIA GPUs with guaranteed resources deliver consistent compute performance without sharing or throttling.
High-Performance GPU Dedicated Servers
Bare metal GPU infrastructure built for compute-intensive workloads and maximum hardware control.
PerLod GPU Dedicated Servers are built for demanding workloads that require high compute performance, stability, and full control. Deploy powerful dedicated GPU servers for data processing, rendering, and performance-critical applications.
Why Choose PerLod GPU Dedicated Servers
Built for teams that need raw GPU power, predictable performance, and full infrastructure control.
Bare Metal Performance
Run GPU workloads directly on bare metal servers for maximum efficiency, low latency, and full hardware control.
Global GPU Availability
Deploy GPU dedicated servers in multiple global data centers to stay close to users and reduce network latency.
Select a GPU Dedicated Server
Choose from available GPU configurations based on performance requirements, hardware specifications, and deployment location.
Save 12% with annual billing
DG-2011
NVIDIA GeForce RTX 4090
- GPU: NVIDIA GeForce RTX 4090 · 24 GB GDDR6X
- CPU: AMD Ryzen 9 5900X
- Core/Threads: 12c / 24t
- Frequency: 3.7 ~ 4.8 GHz
- RAM: 64 GB DDR4
- Storage: 1 TB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 30 TB/Monthly
- Delivery Time: Typically Ready Within 4 Hours
- Location :
$351.08/mo
Configure
8 Servers Available
DG-3012
NVIDIA GeForce RTX 4090
- GPU: NVIDIA GeForce RTX 4090 · 24 GB GDDR6X
- CPU: AMD Ryzen 9 5950X
- Core/Threads: 16c / 32t
- Frequency: 3.4 ~ 4.9 GHz
- RAM: 64 GB DDR4
- Storage: 1 TB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 30 TB/Monthly
- Delivery Time: Typically Ready Within 4 Hours
- Location :
$440.42/mo
Configure
+10 Servers Available
DG-3011
NVIDIA GeForce RTX 4090
- GPU: NVIDIA GeForce RTX 4090 · 24 GB GDDR6X
- CPU: Intel Core i9-14900K
- Core/Threads: 24c / 32t
- Frequency: 3.2 ~ 6 GHz
- RAM: 64 GB DDR4
- Storage: 1 TB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 30 TB/Monthly
- Delivery Time: Typically Ready Within 4 Hours
- Location :
$465.58/mo
Configure
7 Servers Available
DG-3089
NVIDIA GeForce RTX 4090
- GPU: NVIDIA GeForce RTX 4090 · 24 GB GDDR6X
- CPU: AMD Ryzen 9 7950X
- Core/Threads: 16c / 32t
- Frequency: 4.5 ~ 5.7 GHz
- RAM: 128 GB DDR4
- Storage: 1 TB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 30 TB/Monthly
- Delivery Time: Typically Ready Within 4 Hours
- Location :
$517.42/mo
Configure
Only 2 Servers Left
DG-3094
NVIDIA GeForce RTX 4090
- GPU: NVIDIA GeForce RTX 4090 · 24 GB GDDR6X
- CPU: AMD Ryzen 9 5950X
- Core/Threads: 16c / 32t
- Frequency: 3.4 ~ 4.9 GHz
- RAM: 128 GB DDR4
- Storage: 1 TB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 50 TB/Monthly
- Delivery Time: Typically Ready Within 4 Hours
- Location :
$595.67/mo
Configure
Only 2 Servers Left
DG-3057
2x AMD Radeon AI PRO R9700
- GPU: 2x AMD Radeon AI PRO R9700 · 32 GB GDDR6
- CPU: AMD EPYC 7302
- Core/Threads: 16c / 32t
- Frequency: 3 ~ 3.3 GHz
- RAM: 128 GB DDR4
- Storage: 1 TB NVMe
- Port: 1 Gbps Public Network
- Bandwidth: 30 TB/Monthly
- Delivery Time: Typically Ready Within 4 Hours
- Location :
$597.00/mo
Configure
Only 2 Servers Left
GPU Compute Capabilities
Hardware-level capabilities designed for demanding GPU workloads and high-throughput processing.
Parallel Processing
GPU architecture enables massive parallel processing for workloads requiring simultaneous computations across thousands of cores.
High Memory Bandwidth
High-bandwidth memory supports fast data transfer, reducing bottlenecks during intensive compute and rendering operations.
Massive Compute Cores
Thousands of GPU compute cores deliver high throughput for complex calculations and large-scale processing tasks.
Low-Latency PCIe Architecture
Optimized PCIe architecture ensures low-latency communication between GPU, CPU, and system memory components.
Dedicated GPU Resources
Each server provides dedicated GPU resources without sharing, ensuring predictable performance and stable compute capacity.
Multi-GPU Configurations
Support for multi-GPU configurations allows higher aggregate performance for workloads requiring parallel GPU acceleration.
Global GPU Infrastructure, Optimized by Location
Deploy GPU compute closer to users for lower latency and consistent performance.
PerLod operates GPU-ready data centers in key European locations, enabling stable connectivity, predictable performance, and regional flexibility for GPU workloads.
- Russia
- Netherlands
- France
- Iceland
Operational Readiness for GPU Infrastructure
Built to support high-load GPU environments with stability, control, and reliable operation.
GPU Monitoring
Dedicated GPU monitoring for stable performance under sustained compute workloads.
Thermal Stability
Engineered thermal design for consistent GPU performance under continuous workloads.
Fast Networking
High-throughput networking for reliable GPU data transfer under heavy loads.
Planned Maintenance
Planned maintenance processes to preserve GPU performance during active workloads.
Crypto Payments for GPU Servers
Fast, borderless payments for high-performance GPU infrastructure
PerLod supports cryptocurrency payments alongside debit and credit cards for GPU dedicated servers. This flexibility allows global teams to deploy compute-intensive workloads faster while choosing the payment method that best fits their operational and regional needs.
Privacy-Focused GPU Infrastructure
Built for sensitive workloads with controlled access.
PerLod GPU dedicated servers are built with privacy-aware infrastructure practices that minimize unnecessary data handling. Isolated hardware environments, strict access controls, and independent resource allocation help protect sensitive datasets while maintaining full operational control over GPU workloads.
Tools and Support for GPU Infrastructure
App Marketplace
Install and manage popular applications, control panels, and tools on your dedicated server with fast deployment and optimized configurations.
Coming soon
GPU Expert Support
Work with GPU-experienced engineers for configuration guidance, performance tuning, and operational support across demanding compute workloads.
Go to SupportGPU Server Use Cases
Built for real-world GPU workloads across AI, data processing, and performance-critical computing environments.
AI Model Training
Train machine learning models using dedicated GPU resources efficiently.
Deep Learning Inference
Run inference workloads with low latency and consistent GPU performance.
Rendering & Visualization
Accelerate rendering and visual workloads using high-performance GPU compute.
Data Processing & Analytics
Process large datasets faster using GPU acceleration for parallel workloads.
Trusted by Teams Running GPU Workloads in Production
Real feedback from teams using GPU servers for AI, data processing, and compute-intensive workloads.
“Real Multi-GPU Power”
PerLod has given us the dedicated multi-GPU performance we needed for game development workloads, with stable uptime, strong performance, and the kind of raw compute power we were looking for.
Ethan Walker
Game Developer, Canada
“Built for AI Workloads”
PerLod has been a reliable choice for deploying AI agents and machine learning workloads for our clients. The delivery speed, network quality, and overall GPU performance have been consistently strong.
Nora Jensen
ML Engineer, Denmark
“Reliable for LLMs”
We have been using a GPU dedicated server from PerLod for LLM workloads for months, and the service has remained stable, responsive, and easy to rely on throughout.
Mateo Kovac
AI Consultant, Croatia
“Easy to Renew”
We have returned to PerLod for GPU dedicated servers more than once because the service has been stable, high performing, and dependable for long-term production use.
Hannah Fischer
Technical Lead, Germany
“Helpful from Setup”
PerLod helped us choose the right GPU server for parallel processing workloads and supported the full deployment of our application. The setup process was smooth and the performance has been excellent.
Omar Rahman
Software Engineer, UAE
“Lower Cost, Same Results”
PerLod helped us move an AI chatbot workload away from a costly cloud setup onto a dedicated GPU server, cutting our monthly costs significantly while keeping performance stable and reliable.
Sophie Lambert
AI Product Manager, France
“Real Multi-GPU Power”
PerLod has given us the dedicated multi-GPU performance we needed for game development workloads, with stable uptime, strong performance, and the kind of raw compute power we were looking for.
Ethan Walker
Game Developer, Canada
“Built for AI Workloads”
PerLod has been a reliable choice for deploying AI agents and machine learning workloads for our clients. The delivery speed, network quality, and overall GPU performance have been consistently strong.
Nora Jensen
ML Engineer, Denmark
“Reliable for LLMs”
We have been using a GPU dedicated server from PerLod for LLM workloads for months, and the service has remained stable, responsive, and easy to rely on throughout.
Mateo Kovac
AI Consultant, Croatia
“Easy to Renew”
We have returned to PerLod for GPU dedicated servers more than once because the service has been stable, high performing, and dependable for long-term production use.
Hannah Fischer
Technical Lead, Germany
“Helpful from Setup”
PerLod helped us choose the right GPU server for parallel processing workloads and supported the full deployment of our application. The setup process was smooth and the performance has been excellent.
Omar Rahman
Software Engineer, UAE
“Lower Cost, Same Results”
PerLod helped us move an AI chatbot workload away from a costly cloud setup onto a dedicated GPU server, cutting our monthly costs significantly while keeping performance stable and reliable.
Sophie Lambert
AI Product Manager, France
GPU Dedicated Server FAQs
Answers to the most common questions about performance, control, deployment, and payments.
A GPU dedicated server is a physical bare metal server equipped with one or more dedicated GPUs for high-performance workloads. It is designed for users who need strong parallel compute power, full hardware control, and stable performance for demanding projects.
A GPU dedicated server is a strong fit for AI and machine learning workloads, inference, rendering, simulation, large-scale data processing, and other compute-intensive tasks. It is ideal for users who need more consistent performance and more direct hardware control than shared or virtualized GPU environments can offer.
Yes. PerLod offers GPU dedicated servers across multiple locations and different performance tiers, so users can choose based on workload type, GPU requirements, hardware level, and deployment region. This makes it easier to find a suitable option whether you need an entry-level GPU server or a more powerful setup for serious production workloads.
Most GPU dedicated servers are delivered very quickly, with many orders completed instantly or in less than 1 hour. The remaining configurations are typically delivered in under 1 day unless the setup requires a more specific custom arrangement.
GPU dedicated servers give you a high level of control over the environment, including OS installation, software setup, and server configuration. Depending on the infrastructure, remote access options such as a control panel or IPMI can also be provided so you can handle installation, recovery, and deeper management tasks more directly.
PerLod supports flexible payment methods for GPU dedicated servers, including cards, credit-based payments, and cryptocurrency. Crypto payments are available for users who want a faster, more flexible, and more borderless way to deploy GPU infrastructure.
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Ready to Deploy Your GPU Dedicated Server?
Choose your GPU configuration, select a location, and launch infrastructure built for compute-heavy workloads.