A GPU for your workload
Choose from shared and dedicated NVIDIA GPU configurations, from A10 through A100 and H100 to B200.
GPU CLOUD / POWER YOUR POSSIBILITIES
Give your AI applications and demanding workloads the compute they need. Deploy from code or Docker, choose your GPU, and let Qoddi handle the infrastructure.
YOUR IDEAS. CONNECTED BY QODDI.
MORE BUILDING. MORE POSSIBILITY.
Choose from shared and dedicated NVIDIA GPU configurations, from A10 through A100 and H100 to B200.
Deploy GPU applications from code or Docker, keeping your runtime and dependencies with your workload.
Start with a shared GPU configuration or choose dedicated compute for larger workloads. Compare memory, CPU, and pricing before you deploy.
PUT YOUR IDEAS TO WORK
Run the inference engine and model your application needs on a GPU configuration that fits.
Build and test GPU-powered applications with your preferred tools and container environment.
Bring workloads that benefit from GPU acceleration and choose the resources to support them.
Our published plans include shared and dedicated NVIDIA A10 and A100 configurations, plus dedicated H100 and B200 configurations. See the pricing page for memory and compute details.
Yes. Qoddi supports Docker-based GPU applications. Your image should include the dependencies and serving runtime your workload requires.
A10, A100, and H100 plans are billed per second, with published monthly maximums. The B200 plan is billed monthly. See the pricing page for the rates and configuration details.
Choose GPU Cloud when you want to run your own GPU application or model-serving environment. AI Inference is for managed model serving. Our team can help you choose based on your workload.
BETTER TOGETHER