Inference Service


Inference Service


Quicker spin-up durations and heightened responsiveness in auto-scaling.

Efficiently handle increased demand by providing superior inference and autoscaling capabilities across thousands of GPUs, ensuring that you can seamlessly accommodate user growth without being overwhelmed.

Maximize cost savings across all aspects of inference.

Our solutions are designed to be cost-effective for your workloads, offering optimized GPU usage, autoscaling, and sensible resource pricing. Additionally, you have the flexibility to configure your instances according to your deployment needs, all within a 30-minute timeframe.

Experience the raw speed and performance of bare-metal infrastructure.

We deploy Kubernetes directly on bare metal servers, reducing overhead and increasing speed significantly.

Scale your operations without incurring excessive costs.

Instantly deploy thousands of GPUs within seconds and automatically scale down to zero during periods of inactivity, ensuring no resource consumption or billing charges.

No charges for inbound - outbound data, or API requests.

Opt for cost-effective solutions that allow you to pay solely for the resources you utilize.

Quicker inference serving with a scalable solution tailored to your needs.

Our Inference Service provides a contemporary approach to conducting inference, resulting in superior performance and negligible latency, all at a lower cost compared to alternative platforms. In just 30 minutes.

Maximize GPU utilization for increased efficiency and reduced expenses.

Enable automatic container scaling according to demand, enabling rapid fulfillment of user requests much faster than relying on the scaling of hypervisor-backed instances offered by other cloud providers. Upon receiving a new request, response times can be as swift as

Deploy models effortlessly, free from the concern of configuring the underlying framework correctly.

Kubernetes Server simplifies serverless inferencing on Kubernetes through a user-friendly interface, supporting popular ML frameworks such as TensorFlow, XGBoost, scikit-learn, PyTorch, and ONNX to address production model serving requirements.

Experience cutting-edge networking capabilities with high performance out of the box.

With our network architecture, essential functionalities are integrated into the network fabric, providing the required functionality, speed, and security without the need for IP and VLAN management.

Easily access and scale storage capacity with solutions designed for your workloads.

Our storage solutions, based on open-source software designed for enterprise scalability‚ÄĒenable effortless serving of machine learning models. These models can be sourced from various storage backends, such as S3-compatible object storage, HTTP, ensuring versatility and adaptability.

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