GPU Cloud For AI Training, Inference, And Deep Learning
Built on advanced cloud based GPU infrastructure, GPU cloud rental gives you instant access to NVIDIA GPUs with solid performance and enterprise-grade reliability.
Why choose Canopy Wave GPU cloud
Solid performance for every AI task
Our GPU cloud is optimized for high-throughput training and low-latency inference. With 99.99% up-time, you get super reliable and consistent performance across every workload.
Beginner-Friendly & Flexible Deployment
Choose from on-demand or reserved GPU configurations. Deploy your environment in minutes — no complex configurations, no trial-and-error. Accelerating your AI training and inference workflows.
Pay only for what you use
Our cloud GPU rental model gives you predictable pricing, on-demand scalability, and the freedom to pay only for what you use — perfect for startups, labs, and enterprises alike.
Enterprise-Grade security
Security is the foundation of our cloud based GPU platform. With secured and optimized internet connectivity, your data stays protected during every stage of training and deployment.
24/7 Proactive Expert Support
Canopy Wave provides the best performing GPUs clusters with 99.99% uptime, 24/7 support and real-time system monitoring ensure reliability.
Get the latest and greatest NVIDIA GPUs
NVIDIA GB200 NVL72
- 18x compute trays in a rack
- 36x Grace CPUs, 72x Blackwell GPUs
- Up to 13.4 TB HBM3e | 576 TB/s
- 2,592 Arm® Neoverse V2 cores
- Up to 17 TB LPDDR5X | Up to 18.4 TB/s
Price:NVIDIA HGX B200
- 8x NVIDIA Blackwell SXM
- 1.8 TB/s NVSwitch GPU-to-GPU Bandwidth
- NVLink 5 Switch
- 14.4 TB/s Total NVLink Bandwidth
- 1.4 TB Total Memory
Price:NVIDIA H200
- 141 GB of HBM3e memory
- 4.8 TB/s memory bandwidth
- Up to 7 MIGs @16.5GB each
- 72 billion transistors
- 64 vCPUs per instance
Price:NVIDIA H100
- GPU Memory 94 GB
- GPU Memory Bandwidth 3.9 TB/s
- 7 NVDEC, 7 JPEG
- Up to 7 MIGs @ 12 GB each
- Max TDP 350-400W (configurable)
Price:GPU Cloud Applications
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AI Model Training
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Dedicated Endpoint
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Machine Learning Workloads
04
Scientific Computing
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Related Products
01
AI Model Training
- Train foundation and generative models with cloud GPU for deep learning, achieving faster convergence and efficient scaling.
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Dedicated Endpoint
- Run real-time inference workloads securely and efficiently using cloud based GPU instances.
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Machine Learning Workloads
- Optimize and deploy models with cloud GPU for machine learning, supporting diverse data types and pipelines.
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Scientific Computing
- Perform simulations, rendering, and computational research with GPU cloud service precision and speed.
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Related Products
- Storage Services
- Provide comprehensive network hardwaresolutions, including Switches, NICs, Transceivers,etc.
- Networking Services
- Get the best RDMA Networking purposely built for AI.
Resource
NVIDIA H100 vs H200 vs B200: Which GPU for Your Workload?
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How to Choose Between Bare Metal GPUs and Virtual GPUs？
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Get started with Canopy Wave GPU cloud
Whether you’re developing deep learning models or inference at scale, Canopy Wave’s GPU Cloud Service is your trusted infrastructure partner.
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