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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Effortlessly implement anti-affinity groups and deploy virtual servers across various data centers to maintain optimal availability. Configure firewall rules securely across numerous instances utilizing security groups. Oversee team members and regulate access to your infrastructure with organizations, key pairs, and multi-factor authentication. Our user-friendly and straightforward interfaces enable teams of any size to easily grasp powerful concepts. When managing crucial production workloads in the cloud, having a dependable partner is essential for success. Our customer success engineers have assisted countless clients throughout Europe in migrating, operating, and scaling production workloads as cloud-native applications. Relying on a trusted partner can significantly enhance your cloud experience and ensure seamless operations.

Description

A robust platform optimized for training is equipped with NVIDIA® H100 Tensor Core GPUs, offering competitive pricing and personalized support. Designed to handle extensive machine learning workloads, it allows for efficient multihost training across thousands of H100 GPUs interconnected via the latest InfiniBand network, achieving speeds of up to 3.2Tb/s per host. Users benefit from significant cost savings, with at least a 50% reduction in GPU compute expenses compared to leading public cloud services*, and additional savings are available through GPU reservations and bulk purchases. To facilitate a smooth transition, we promise dedicated engineering support that guarantees effective platform integration while optimizing your infrastructure and deploying Kubernetes. Our fully managed Kubernetes service streamlines the deployment, scaling, and management of machine learning frameworks, enabling multi-node GPU training with ease. Additionally, our Marketplace features a variety of machine learning libraries, applications, frameworks, and tools designed to enhance your model training experience. New users can take advantage of a complimentary one-month trial period, ensuring they can explore the platform's capabilities effortlessly. This combination of performance and support makes it an ideal choice for organizations looking to elevate their machine learning initiatives.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AI SpendOps No 
Comet Backup Yes 
Fedora CoreOS Yes 
IPFire Yes 
NVIDIA DGX Cloud Lepton No 
NVIDIA DGX Cloud Serverless Inference No 
Nebius Token Factory No 
Plakar Yes 
Shadeform No 
UTunnel VPN and ZTNA Yes 
emma Yes 

Integrations

AI SpendOps Yes 
Comet Backup No 
Fedora CoreOS No 
IPFire No 
NVIDIA DGX Cloud Lepton Yes 
NVIDIA DGX Cloud Serverless Inference Yes 
Nebius Token Factory Yes 
Plakar No 
Shadeform Yes 
UTunnel VPN and ZTNA No 
emma No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$2.66/hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Exoscale

Country

Switzerland

Website

www.exoscale.ch

Vendor Details

Company Name

Nebius

Founded

2022

Country

Netherlands

Website

nebius.ai/

Product Features

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives