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// SOLUTIONS / INFERENCE

Machine Learning Inference

Build a robust inference infrastructure. Run inference on our cloud for real-time or on-demand predictions, decision-making, or any other intended purpose.

Cloud-native experience

Manage infrastructure as code using Terraform and CLI. Implement best practices for flexibility, scalability, versioning, and automation.

Environment for GenAI apps

Wide range of products to seamlessly build GenAI applications, including Object Storage, Managed PostgreSQL and more.

Resilient software stack

Built-in hardware monitoring, network balancer and highly available Managed Kubernetes guarantee best performance and uptime.

Cost effectiveness

On-demand payment model and automatic scaling in Managed Kubernetes allows selecting optimal hardware based on model requirements.

Data security and privacy

Clearly defined shared responsibility model with robust security controls. We are committed to openness and transparency.

Everything you need for robust inference

From GPU selection to autoscaling, from container registry to load balancing — our platform provides the complete stack for production-grade ML inference.

Inference metrics

<5 min
From new Kubernetes compute node to live production
100 Gbit/s
Internet connection speed backed by four providers
99.9%
Platform uptime guarantee with SLA

Architects and expert support

We guarantee dedicated solution architect support to ensure seamless platform adoption. We also offer free 24/7 support for urgent cases.

Our support engineers, part of our in-house team, work closely with platform developers, product managers and R&D to provide comprehensive assistance.

Read about our support →

Third party solutions

vLLM

Fast and easy-to-use library for LLM inference and serving. Deploy in Managed Kubernetes clusters with Gradio chat interfaces.

NVIDIA Triton Inference Server

Deploy any AI model using TensorRT, TensorFlow, PyTorch, ONNX, OpenVINO, and more frameworks.

Stable Diffusion Web UI

Easy-to-use browser interface for text-to-image deep learning models.

"With {{COMPANY_NAME}}, we're able to efficiently utilize clusters of L40S GPUs for video inference. We see 40% cost efficiency gains without sacrificing content quality or generation speed."
AI Infrastructure LeadEnterprise Customer

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