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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 / L40s / L4 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.

Tensor Cloud for AI/ML with NVIDIA GPU

Key values of the Tensor Cloud

Industry-leading NVIDIA H100 / L40S

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 / L40s / L4 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.

More about K8s as a Service and AI/ML

Watch the video: Kubernetes as a service in De Novo clouds

In the era of container development, our specialists have created several tools for convenient creation and management of container virtualization clusters based on VMware Tanzu Kubernetes Grid in De Novo clouds.

Download the presentation: Kubernetes as a service in De Novo clouds

VMware Tanzu Kubernetes Grid Kubernetes cluster orchestration platform for DevOps and developers in De Novo's private and public cloud.

Watch the video: Cloud for AI/ML with NVIDIA GPU

Learn more about De Novo's high-performance tensor computing platform for AI/ML based on private and public cloud.

Download the presentation: Cloud for AI/ML with NVIDIA GPU

High performance tensor computing platform for AI/ML based on private and collective cloud.

Download the presentation: ML Cloud - a convenient environment for the work of an ML engineer

The presentation provides a detailed description of the technological components of ML Cloud, their advantages and conveniences for the ML engineers.

Tensor Cloud Prices

NVIDIA GPU-accelerated instances are optimized for AI and HPC workloads. Using GPU virtualization technology from VMware and NVIDIA, you can order the H100/L40s/L4 in parts (1/8, 1/4, 1/2, or the whole) to meet your workload needs.

The hourly price is approximate based on 730 hours per month and the exchange rate of 1$ = 41 UAH. Prices are exclusive of VAT.

Payment is made in UAH per month at constant prices without reference to foreign exchange rates.

Card
 
vGPU
 
GPU GDDR RAM,
GB
vCPU
 
vRAM,
GB
Price GPU + instance,
USD/hr
Price GPU + instance,
UAH/month
NVIDIA H1001/8102240,6519 328
1/4204481,2938 656
1/2408962,5877 312
180161925,17154 624
NVIDIA L40s1/862120,267 728
1/4124240,5215 456
1/2248481,0330 912
148 16962,0761 824
NVIDIA L41/4 62120,164 832
1/2 124240,329 664
1 248480,6519 328

14 days Free Trial

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Products for DevOps and AI/ML

ML-Cloud is a cloud platform for ML engineers
ML-Cloud is a cloud platform for ML engineers

A ready-made, user-friendly and functional ML engineer's working environment, which is deployed in an accelerated (NVIDIA GPU) for AI/ML tasks in a collective (Tensor Cloud) or private (HTI) cloud.

Tensor Cloud with NVIDIA GPUs
Tensor Cloud with NVIDIA GPUs

Kubernetes as a Service Accelerated NVIDIA H100 / L40S GPU with tensor cores to run artificial intelligence and machine learning (AI/ML) workloads.

Hosted Tensor Infrastructure
Hosted Tensor Infrastructure

AI/ML-accelerated Kubernetes with NVIDIA H100 / L40S GPU with Tensor Cores on Hosted Private Infrastructure (HPI).

Kubernetes as a Service
Kubernetes as a Service

A modern platform for orchestrating industrial-grade Kubernetes clusters in the public cloud. The functionality and usability of KaaS is similar to managed Kubernetes services from hyperscalers.

Hosted Container Infrastructure
Hosted Container Infrastructure

PaaS platform for orchestrating Kubernetes clusters based on VMware Tanzu Kubernetes Grid in a private cloud. The functionality and usability of KaaS is similar to "managed Kubernetes" services from hyperscalers.

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