Everywhere Inference

AI inference is when a trained ML model makes predictions or decisions based on new, previously unseen data inputs. Inference applies an ML model to real-life issues, such as a new chat prompt, to provide useful insights or actions. Read our blog post to learn more about [AI inference and how it works](learning/what-is-ai-inference).

Getting started with Gcore Everywhere Inference is simple: 1. Check the Documentation—Follow our [step-by-step guide](docs/edge-ai/everywhere-inference) to set up and deploy AI inference workloads. 2. Deploy Your Model—Choose an AI model from our catalog or upload your own, configure the runtime environment, and deploy it using the Gcore platform. [Learn more](docs/edge-ai/everywhere-inference/ai-models/deploy-an-ai-model). 3. Use the API & Automation Tools—Integrate with our API or Terraform for seamless automation and scaling. 4. Need Help?—Contact our support team at [support@gcore.com](mailto:support@gcore.com) for assistance.

AI inference at the edge differs from cloud-based AI inference in terms of where data processing occurs. Edge AI inference involves running ML models on or near local devices, allowing real-time data analysis and decision-making without the need to send data to a remote server, as is the case with cloud AI inference. Deployment of AI inference at the edge results in reduced latency, improved security, and decreased reliance on network connectivity compared to AI inference in the cloud. Inference at the edge is particularly useful for AI apps that need real-time processing and minimal delay, like generative AI and real-time object detection.

Yes. AIoT devices rely on ML models deployed at the edge. Gcore Everywhere Inference provides the low latency, high throughput, and close proximity to data sources that are essential for AIoT systems. Gcore offers [5G Network](mobile/5g), a solution specifically designed for IoT, including AIoT, that can be used in combination with Everywhere Inference. 5G Network is a secure, reliable, and fast way to connect remote AIoT devices over 5G. To learn more about 5G Network capabilities, explore our 5G Network Docs.

Yes, you can use OpenAI libraries and APIs with Gcore Everywhere Inference endpoints. Our platform supports deploying and running models compatible with OpenAI’s ecosystem, allowing you to integrate GPT-based models and other AI tools seamlessly.

Gcore Everywhere Inference offers greater customization, data privacy, and control by enabling edge or private infrastructure deployment. It provides scalable, cost-efficient solutions with reduced latency, while mutualized LLM APIs may have unpredictable pricing and slower response times. Additionally, Gcore ensures more reliable performance and better control over models and resources compared to shared API services.

We provide dedicated models with GPU per-second pricing, ensuring consistent performance and cost efficiency for AI inference.

The NVIDIA L40S is the latest universal data center GPU that is specifically designed for AI inference. It delivers up to 5× faster inference performance compared to other powerful NVIDIA GPUs, such as the A100 and H100, and offers a superior price/performance ratio. Read our blog post to [learn more about the L40S ](blog/nvidia-gpu-comparison)and how it differs from other popular NVIDIA GPUs.