GPU Instances
Harness the power of dedicated NVIDIA RTX 5090 GPUs for AI/ML training, inference, 3D rendering, and compute-intensive workloads. Deploy in minutes with flexible hourly or monthly billing.
Each instance includes an AMD EPYC 9354P processor, 32GB DDR5 ECC RAM, 100GB local NVMe storage with persistent storage available, and 250TB bandwidth at 10Gbps. The RTX 5090 delivers 32GB VRAM — perfect for researchers, developers, and businesses running GPU-accelerated applications.
GPU Instances
Dedicated NVIDIA RTX 5090 GPUs with flexible pay-as-you-go or monthly pricing
GPU Instance RTX5090
One Fully Dedicated RTX 5090
Next-gen GPU instance with 32GB VRAM for the most demanding AI/ML workloads, rendering, and compute-intensive applications.
CPU
AMD EPYC 9354P*
*CPU model may vary. 1 IP Address included.
RAM
32GB DDR5 ECC
VRAM: 32GB GDDR7
Storage
100GB Local NVMe
+ persistent storage available
Bandwidth
250TB @ 10Gbps
How Spot Pricing Works
Spot pricing lets you access this GPU at the lowest possible price by setting a max budget. As demand increases and availability declines, the price dynamically adjusts to meet demand — up to your set budget.
Budget Protection: If demand exceeds your budget, your machine is safely offloaded to storage and waits for spot pricing to return to your budgeted amount or below.
Auto-Resume: Once pricing drops back within your budget, your instance is automatically migrated back to an available unit and picks right back up where it left off.
Storage Policy: If your instance remains in storage for more than 7 days, it will be terminated — or a storage fee of $0.10/hour applies to keep it preserved.
Flexible Pricing
Price scales with real-time demand
Reserve Pricing (guaranteed)
Best value for 24/7 usage
Long-term contract pricing
Need CPU-only cloud servers? Check out Cloud VPS →
Why Choose BreezeHost GPU Instances?
Purpose-built GPU infrastructure for demanding workloads
RTX 5090
The latest RTX 5090 (32GB VRAM) — fully dedicated GPU power for the most demanding workloads
AI/ML Ready
Pre-configured for TensorFlow, PyTorch, and popular AI/ML frameworks
Flexible Billing
Pay-as-you-go hourly billing or flat monthly rate — you choose what works best
10Gbps Network
Ultra-fast 10Gbps network connectivity with 250TB monthly bandwidth
Enterprise Security
DDoS protection, firewalls, and security monitoring included at no extra cost
Remote Access
Full root access with remote desktop support for graphical workloads
Popular Use Cases
🤖 AI & Machine Learning
Train and fine-tune large language models, computer vision models, and other deep learning architectures with dedicated GPU power.
🎨 3D Rendering
Accelerate Blender, Cinema 4D, and other rendering workflows with CUDA and OptiX support on RTX 5090 hardware.
🔬 Scientific Computing
Run molecular dynamics simulations, fluid dynamics, and other CUDA-accelerated scientific computing workloads.
📹 Video Processing
Hardware-accelerated video encoding, transcoding, and real-time video processing with NVENC/NVDEC support.
Frequently Asked Questions
What GPUs are available with BreezeHost GPU Instances?
We offer dedicated NVIDIA RTX 5090 instances with 32GB VRAM, ideal for AI/ML training, inference, rendering, and compute-intensive applications.
What are the pricing options?
RTX 5090: Spot pricing from $0.49–$0.69/hour that scales dynamically with real-time demand, or on-demand at $0.69/hour (guaranteed availability). Monthly pricing at $450/month. Choose what works best for your workload patterns.
What CPU and RAM come with the GPU instance?
Each RTX 5090 GPU instance includes an AMD EPYC 9354P processor, 32GB DDR5 ECC RAM, and 100GB local NVMe storage with persistent storage available. CPU model may vary.
Can I use this for AI model training?
Absolutely! The RTX 5090 is excellent for training deep learning models. It supports CUDA, cuDNN, TensorRT, and works seamlessly with PyTorch, TensorFlow, and other popular frameworks.
What is Spot Pricing for the RTX 5090?
Spot pricing lets you access RTX 5090 GPU instances at a reduced rate starting from $0.49/hour when demand is low. The price dynamically scales between $0.49–$0.69/hour based on real-time demand. It's ideal for flexible, fault-tolerant workloads like batch processing, training jobs, and rendering queues where you can take advantage of lower prices during off-peak periods.
Ready to Accelerate Your Workloads?
Deploy a dedicated RTX 5090 GPU instance in minutes with flexible billing options.