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// SOLUTIONS / MODEL TRAINING

Efficient AI Model Training

Set up your production-ready infrastructure in hours. Distributed training on thousands of NVIDIA GPUs with the best performance and uptime.

Production-ready in hours

An intuitive cloud console and tools for ML/AI workloads like Kubernetes and Terraform get you from zero to training fast.

Fastest network for distributed training

Multihost training on thousands of GPUs with full mesh InfiniBand network up to 3.2 Tbit/s per host.

Best guaranteed uptime

Built-in self-healing system allows VMs and hosts to restart within minutes instead of hours.

Scale up and down your capacity

On-demand payment model with dynamic scaling via a simple console request. Long-term reserves for discounted resources.

Everything you need for the best training performance

We provide an integrated stack for running distributed training that can be started with just two clicks. Pre-configured NVIDIA drivers, optimized NCCL settings, InfiniBand topology, and checkpoint storage — ready out of the box.

Performance metrics for ML Training

488 GB/s
Bus bandwidth in NCCL AllReduce
64 GB/s
Max speed of filestore per node
3.2 Tbit/s
InfiniBand bandwidth per host

Architects and expert support

Generative AI and distributed learning are emerging technologies, and you need a reliable partner on this journey. We test our platform with LLM pretraining to ensure everything runs smoothly.

Free of charge, we guarantee dedicated solution architect help and ensure 24/7 support for urgent cases.

Solution library and documentation

Our Solution Library is a set of Terraform and Helm solutions designed to streamline the deployment and management of AI and ML applications. Explore comprehensive documentation for all platform services.

Third party solutions for ML training

MLflow

Platform for managing workflows and artifacts across the machine learning lifecycle.

Kubeflow

Open-source platform for deploying ML workflows on Kubernetes — simple, portable, and scalable.

Ray Cluster

Open-source distributed computing framework for scalable AI workloads and orchestration.

Tested by our in-house LLM team

Our LLM team enhances the efficiency of {{COMPANY_NAME}} through dogfooding the cloud platform and delivering immediate feedback to the product and development team.

It supports the company's ambition to be the most advanced cloud for AI builders.

Ready to get started?