Latest NVIDIA GPU Cards (A100, V100, T4)
High-Performance GPU Servers
Accelerate your AI, machine learning, and rendering workloads with our powerful GPU servers. Built for maximum computational performance.
NVIDIA GPUs
Latest Generation
High Memory
Optimized for ML
Secure Access
Protected Infrastructure
24TB
Max Memory
8x
NVIDIA A100
99.99%
Uptime
Included in Your GPU Server Plans
Optimized ML Framework Environments
High-Bandwidth Interconnects
Scalable Multi-GPU Configurations
Dedicated 24/7 Technical Support
Why Choose Caystard Cloud?
Join thousands of businesses who trust us for their mission-critical infrastructure. Discover the perfect blend of performance, reliability, and support.
Lightning-Fast Performance
Experience blazing speeds with our cutting-edge infrastructure, powered by NVMe storage and latest-gen processors.
Enterprise-Grade Security
Rest easy with our comprehensive security measures, including DDoS protection, firewall, and 24/7 monitoring.
Instant Deployment
Get your server up and running in minutes with our automated provisioning system.
Global Network
Choose from multiple data centers worldwide for optimal latency and performance.
99.99% Uptime Guarantee
We back our reliability with one of the industry's strongest uptime guarantees.
24/7 Expert Support
Our experienced team is always ready to help, with average response times under 15 minutes.
Frequently Asked Questions
Everything you need to know about our GPU servers
GPU servers are used for applications that require high computational power, such as machine learning, AI training, 3D rendering, and scientific simulations. The GPUs provide the necessary processing power to handle complex calculations and large data sets.
We offer the latest NVIDIA GPUs, including the A100, V100, and T4 Tensor Core GPUs. These are the latest generation of GPUs designed for high-performance computing tasks.
Yes, you can install and run any software on the GPU server that is compatible with the operating system and GPU architecture. This includes popular machine learning frameworks like TensorFlow and PyTorch, as well as custom applications.
GPU servers are billed based on the resources allocated (CPU, RAM, GPU) and the duration of use. We offer both hourly and monthly billing options, with discounts for long-term commitments.
The number of GPUs you can use depends on the server configuration you choose. Our servers can be equipped with multiple GPUs, and you can scale up or down based on your needs.