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US Branch Address - 539 W. Commerce St #2351 Dallas, TX 75208
Canada Branch Address - 15 Glenmanor Dr, Brampton, Toronto, Canada
+1-647-424-4697
High Performance GPU Dedicated Servers for AI, Rendering, and Compute-Heavy Workloads
Built for parallel processing, machine learning, advanced visualization, simulations, and other GPU-accelerated applications.
Our GPU dedicated servers are designed for businesses, developers, research teams, and production environments that need much more computational power than standard dedicated servers can offer. They are a strong fit for AI, rendering, simulation, and analytics environments that need high performance dedicated server infrastructure.
Trusted by teams working in AI, machine learning, rendering, analytics, simulation, and high-performance computing, these servers provide dedicated GPU resources, stronger hardware isolation, and infrastructure built for demanding workloads. For broader operational support, teams often combine this with managed server services and server monitoring.
Whether you need a single GPU server for model training and rendering or a stronger multi-GPU setup for larger workloads, we help you deploy on infrastructure built for speed, stability, and more predictable performance. If you also need conventional dedicated environments, explore our managed dedicated server and NVMe dedicated server options.
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GPU dedicated server hosting is ideal for workloads that benefit from massive parallel processing, including AI model training, rendering, video processing, analytics, and scientific computing.
Enterprise GPU Server Configurations
Choose a GPU dedicated server plan based on the type of acceleration, memory, and compute capacity your workload needs.
EliteCore G-3090
A practical GPU server for rendering, blockchain processing, graphics-heavy work, and entry compute acceleration.
$450.95/month
- 1x NVIDIA GeForce RTX 3090
- Xeon Gold 5218R • 20 Cores / 40 Threads
- 64 GB DDR4 RAM
- 960 GB SSD Storage
- Unlimited @ 2 Gbps
- 1 IP address
- Region: Netherlands
Best for: rendering, 3D workloads, and teams that need a strong single-GPU starting point.
Order NowEliteCore G-4000 Ada
A balanced GPU dedicated server for AI development, visualization, and professional compute workloads.
$550.95/month
- 1x NVIDIA RTX 4000 SFF Ada
- Xeon Silver 4410T • 10 Cores / 20 Threads
- 128 GB DDR5 RAM
- 1 TB SSD Storage
- Unlimited @ 2 Gbps
- 1 IP address
- 20 GB GDDR6 ECC Memory
Best for: AI development, visualization pipelines, and compute workloads that need a newer GPU platform.
Order NowEliteCore G-6000 Ada
A high performance GPU server for AI, visualization, rendering, and heavier compute workflows that need more graphics memory and CUDA resources.
$850.95/month
- 1x NVIDIA RTX 6000 Ada
- Xeon Silver 4410T • 10 Cores / 20 Threads
- 128 GB DDR5 RAM
- 1 TB SSD Storage
- Unlimited @ 2 Gbps
- 1 IP address
- 48 GB GDDR6 ECC Memory
Best for: AI training, advanced rendering, simulations, and performance-heavy graphics workloads.
Choose PlanEliteCore G-6000 Blackwell
A stronger enterprise GPU dedicated server for next-generation AI and visual computing workloads.
$1,150.95/month
- 1x NVIDIA RTX PRO 6000 Blackwell
- Xeon Silver 4410T • 10 Cores / 20 Threads
- 128 GB DDR5 RAM
- 1 TB SSD Storage
- Unlimited @ 2 Gbps
- 1 IP address
- 96 GB GDDR7 ECC Memory
Best for: advanced AI workflows and newer visual computing environments that need higher-end GPU resources.
Order NowWhy Choose GPU Dedicated Servers?
GPU dedicated servers are built for workloads that benefit from thousands of parallel processing cores, faster acceleration, and stronger compute efficiency than CPU-only environments.
Massive Parallel Processing
GPU servers contain thousands of specialized cores that can handle many operations at the same time, making them ideal for AI training, simulations, data analytics, and other heavy compute workloads.
Optimized for AI & Machine Learning
Modern AI frameworks like TensorFlow and PyTorch benefit strongly from GPU acceleration, helping reduce training time and making experimentation faster and more practical.
Superior Rendering Performance
For 3D rendering, visual effects, animation, and high-resolution graphics processing, GPU servers deliver much stronger performance than CPU-based rendering workflows.
Scalable Monthly Model
GPU hosting gives you access to enterprise-grade acceleration without the up-front capital investment, cooling complexity, and maintenance burden of owning the hardware yourself.
Full Control & Dedicated Resources
With dedicated GPU resources and full administrative control, you can configure the environment around your workload without competing with noisy neighbors.
Compute Efficiency at Scale
A well-chosen GPU server can deliver much stronger throughput for the right workloads, helping reduce processing time and improve overall compute efficiency.
Advanced Multi-GPU Server Configurations
For workloads that need more GPU density, higher concurrency, or stronger compute throughput, explore these multi-GPU server options.
EliteCore V-G3090 | Standard
A virtualized GPU option for teams that need dedicated RTX 3090 access in a lower entry configuration.
$799.95/month
- 1x GeForce RTX 3090
- 5x vCPU Xeon Silver 4210R
- 16 GB DDR4 RAM
- 480 GB SSD Storage
- 10 TB @ 1 Gbps
- 1 IP address
- Region: Netherlands
EliteCore V-G3090 | Dual GPU
A stronger dual-GPU configuration for heavier rendering, model training, and parallel compute tasks.
$1,199.95/month
- 2x GeForce RTX 3090
- 5x vCPU Xeon Silver 4210R
- 16 GB DDR4 RAM
- 480 GB SSD Storage
- 10 TB @ 1 Gbps
- 1 IP address
- Region: Netherlands
EliteCore V-G3090 | Pro
A stronger CPU and memory combination for teams that need a more balanced GPU and compute environment.
$799.95/month
- 1x GeForce RTX 3090
- 10x vCPU Xeon Silver 4210R
- 32 GB DDR4 RAM
- 480 GB SSD Storage
- 10 TB @ 1 Gbps
- 1 IP address
- Region: Netherlands
EliteCore V-G3090 | Dual Pro
A higher-end dual-GPU virtualized option for more demanding parallel compute and rendering workloads.
$1,299.95/month
- 2x GeForce RTX 3090
- 10x vCPU Xeon Silver 4210R
- 32 GB DDR4 RAM
- 480 GB SSD Storage
- 10 TB @ 1 Gbps
- 1 IP address
- Region: Netherlands
GPU-Accelerated Computing for Modern Workloads
From AI development to rendering and scientific analysis, GPU acceleration can transform how fast compute-heavy workloads are processed.
Practical Support
Our GPU server plans are backed by responsive support and a team that understands production workloads, deployment needs, and infrastructure stability.
Built for Demanding Applications
GPU dedicated servers are a strong fit for AI, machine learning, rendering, analytics, and other workloads where parallel processing can save major compute time.
This makes them valuable for teams that need faster model iteration, stronger visualization throughput, and better overall compute efficiency.
Predictable Infrastructure
Instead of building and maintaining specialized GPU hardware in-house, you can access dedicated GPU resources through a simpler monthly model.
If you need more traditional dedicated server options, also explore our Managed Dedicated Server and NVMe Dedicated Server pages.
Common GPU Server Use Cases
Here are some of the most common workload types that benefit from dedicated GPU infrastructure.
Artificial Intelligence & Machine Learning
Train models, process datasets, work with computer vision, natural language processing, and AI inference pipelines more efficiently.
3D Rendering & Animation
Accelerate rendering for architectural visualization, visual effects, animation, and other graphics-heavy production workflows.
Video Production & Encoding
Process video encoding, transcoding, high-resolution rendering, and related media workflows with stronger performance.
Scientific Computing
Support simulations, research workloads, computational analysis, molecular modeling, and other compute-heavy scientific tasks.
Financial Modeling
Use GPU resources for larger-scale simulation, risk analysis, and performance-sensitive financial processing tasks.
Gaming & Virtual Reality
Run graphics-intensive gaming, VR-related development, and rendering tasks that benefit from faster GPU acceleration.
Related Dedicated Server Solutions
Explore the supporting dedicated server pages that strengthen this GPU dedicated server hosting offering, including storage-focused, cPanel, Windows, and managed dedicated options.
Frequently Asked Questions
A GPU dedicated server is a server with one or more dedicated graphics processing units that can accelerate parallel computing workloads far beyond CPU-only environments.
GPUs contain many specialized cores that can perform parallel mathematical operations much faster, which is why they are widely used in AI and machine learning training.
AI, machine learning, rendering, simulations, video processing, analytics, scientific computing, and compute-heavy graphics workloads benefit the most.
We offer multiple GPU server configurations, including RTX 3090, RTX 4000 Ada, RTX 6000 Ada, and RTX PRO 6000 Blackwell based options shown on this page.
Provisioning time depends on the selected configuration and hardware availability, but we work to deploy as quickly as possible once the order is confirmed.
Yes, our technical team is available to assist with deployment, support, and general server-related issues for GPU dedicated server environments.
Yes, if your workload grows, we can help you move to a stronger configuration or a different dedicated GPU setup based on availability.
GPU dedicated servers can typically be deployed with common Linux distributions or Windows Server depending on the workload and server configuration.
Yes, we also offer managed dedicated servers, NVMe dedicated servers, cPanel dedicated servers, and Windows dedicated server hosting.
24/7 technical support • 5+ years average client relationships
Need a GPU dedicated server for AI or compute-heavy workloads?
Tell us about your model training, rendering, simulation, or performance requirements and we’ll help you choose the right GPU dedicated server plan.
Need GPU infrastructure for AI, rendering, or compute-heavy workloads?
Tell us about your model size, rendering requirements, storage needs, or compute goals, and we’ll recommend the right GPU dedicated server setup.
You can also review our managed dedicated server, NVMe dedicated server, managed server services, or server monitoring before requesting a custom quote.
Request a Custom Quote