🧠 Can I set up multiple NovaGPU instances and combine their usage? – FAQ

No, NovaGPU instances cannot be combined to share or pool GPU resources. Each instance operates independently with its own dedicated GPU, CPU, RAM, and storage.

Can I run distributed GPU tasks across multiple instances?
Not directly. NovaGPU is designed for single-instance GPU workloads. If your application requires multi-GPU parallelism or distributed training (e.g., using frameworks like Horovod or DeepSpeed), you would need a custom solution not currently supported natively by NovaGPU.

What are my options if I need more GPU power?
You can:

• Upgrade to a larger NovaGPU instance with higher specs

• Split your workload across multiple instances manually (if your application supports it)

• Contact IPServerOne support for custom GPU infrastructure or private clustering options

📩 Need Help?
Reach out to our support team at support@ipserverone.com for assistance or to discuss custom solutions tailored to your workload.