Tensor Cloud for AI/ML with NVIDIA GPU

Tensor Cloud is Kubernetes as a Service, NVIDIA GPU accelerated with tensor cores for running artificial intelligence and machine learning (AI/ML) workloads.

The platform combines the world's most powerful tensor accelerators NVIDIA H100 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.

Get a powerful and reliable GPU Cloud for AI/ML service that provides 100% cost predictability, economic efficiency and a significant reduction in time from idea to implementation.

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Key values of the Tensor Cloud

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 order H100 accelerators as a whole or in parts (1/2, 1/4, 1/8) according to specific tasks, which significantly improves the economy 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.

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.

100% predictability of costs

due to the absence of unpredictable cost components: traffic, disk operations.

Functionality and reliability of hyperscalers

at the price of GPU Cloud discounters.

What Tensor Cloud can give you

Convenient access directly from the Kunernetes environment to ultra-powerful industrial-class NVIDIA GPUs with tensor cores "unleash" specifically for AI/ML tasks (GPU Cloud for AI/ML).

A platform for productive inference with high availability and at an attractive price due to GPU virtualization.

A significant reduction in the entry threshold (in terms of money, time and DevOps/MLOps competencies) to the world of AI/ML.

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