Hosted Tensor Infrastructure for AI/ML with NVIDIA GPU

Hosted Tensor Infrastructure (HTI) - Kubernetes accelerated for AI/ML with NVIDIA GPU tensor cores on private cloud (Hosted Private Infrastructure / HPI).

The platform combines the world's most powerful tensor accelerators NVIDIAH100 and an integrated technological stack based on VMware vSphere, VMware Tanzu Kubernetes Grid and NVidia AI Enterprise. Tensor accelerators provide unattainable performance for other technologies on the tasks of machine learning and productive inference.

Meanwhile, private cloud as a service (HPI) provides a physically isolated and secure VMware vSphere virtual infrastructure that is exclusively used by the customer. HTI inherits all the advantages of HPI and flexibly adapts to business requirements, has extended functionality and provides the possibility of deep integration with its own infrastructure, including the possibility of installing the complex on the customer's territory.

Get a powerful and reliable platform for AI/ML that provides 100% cost predictability, combining the benefits of cloud and on-premise infrastructure, cost-effectiveness and significantly reducing time from idea to implementation in the world of AI/ML.

Hosted Tensor Infrastructure for AI/ML with NVIDIA GPU

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Advantages of the HTI cloud platform

Industry-leading NVIDIA H100 Tensor Processors

accelerate training of large models and dramatically increase the productivity of ML engineering teams.

GPU virtualization technology from VMware and NVIDIA

allows you to flexibly distribute accelerators (including 1/2, 1/4, 1/8) between different projects and ensure a zero maintenance window for productive inference.

An industrial-class Kubernetes environment with commercial support

based on VMware Tanzu and NVIDIA AI Enterprise allows an MLOps engineer to create working environments for ML engineers without being distracted by purely infrastructure issues.

Full compliance with Ukrainian legislation

If you need a KSZI - you will get a KSZI.

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