CloudPe GPU
Built for the Most Intensive Workloads
- Try free for 30 days with no commitment.
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Scale Without Limits
Easily adjust resources on demand to match your workflow requirements without over-provisioning, keeping costs efficient and performance optimized.
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Deploy NVIDIA-Powered CloudPe GPU
Unleash the power of NVIDIA GPUs for AI, machine learning, and high-performance computing (HPC). Now available for on-demand access—get started instantly.
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Newly Expanded Data Centers
Our CloudPe GPU are now live in Mumbai location, providing low-latency, high-throughput performance across regions.
Key Specifications
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NVIDIA H100 GPUs
Available with up to 8 GPUs per Droplet, providing unmatched speed for compute-intensive applications.
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Massive GPU Memory
Starting at 80 GB per GPU, ideal for handling large datasets.
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High Throughput Storage
720 GiB NVMe boot disk and 5 TiB NVMe scratch disk, ensuring lightning-fast data access.
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Network Bandwidth
Up to 10 Gbps, providing high-speed connectivity for seamless data flow and minimal latency.
Simplified AI Integration with 1-Click Models
Deploy AI models effortlessly with a single click, reducing setup time and enabling swift integration into your applications.
Trusted by Innovators
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AI-Driven Insights
CloudPe’s GPU Instances have accelerated our data pipelines, enhancing efficiency and keeping us at the forefront of AI advancements.
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Effortless Scaling
The scalability of CloudPe’s GPU Instances allows us to adapt resources seamlessly as our project demands evolve.
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- Try free for 30 days with no commitment.
CloudPe GPU: High-Performance Computing for AI/ML at Scale
Deploy NVIDIA-Powered CloudPe GPU
Unleash the power of NVIDIA GPUs for AI, machine learning, and high-performance computing (HPC). Now available for on-demand access—get started instantly.
Newly Expanded Data Centers
Our CloudPe GPU are now live in multiple locations, providing low-latency, high-throughput performance across regions.
Affordable On-Demand GPU Pricing
Starting at just $2.99/GPU/hr, CloudPe’s GPU provide cost-effective scalability for demanding AI/ML workloads.