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Description

Fluidstack is a high-performance AI infrastructure platform built to deliver scalable and secure compute resources for demanding workloads. It provides dedicated GPU clusters that are fully isolated, ensuring consistent performance without shared resource interference. The platform includes Atlas OS, a bare-metal operating system designed for fast provisioning, orchestration, and full control of infrastructure. Fluidstack also offers Lighthouse, a system that monitors, optimizes, and automatically resolves performance issues in real time. Its infrastructure is engineered for speed and reliability, enabling rapid deployment of GPU resources. The platform supports large-scale AI training, inference, and other compute-intensive applications. Fluidstack is designed for enterprises, AI research labs, and government organizations that require advanced computing capabilities. It provides strong security features, including compliance with standards like GDPR, SOC 2, and ISO certifications. The platform offers human support with fast response times to ensure operational stability. Fluidstack enables teams to scale infrastructure efficiently as their needs grow. Overall, it provides a robust and flexible solution for AI-driven computing at scale.

Description

IONOS offers GPU Servers that deliver a high-performance computing framework aimed at managing tasks that demand significantly more power than standard CPU systems can provide. This infrastructure features top-tier NVIDIA GPUs, including the H100, H200, and L40s, in addition to specialized AI accelerators like Intel Gaudi, facilitating extensive parallel processing for demanding applications. By utilizing GPU-accelerated instances, the cloud infrastructure is enhanced with dedicated graphical processors, enabling virtual machines to execute intricate calculations and handle data-heavy tasks at a much faster rate compared to traditional servers. This solution is especially well-suited for fields such as artificial intelligence, deep learning, and data science, where training models on extensive datasets or executing rapid inference processes is necessary. Furthermore, it accommodates big data analytics, scientific simulations, and visualization tasks, including 3D rendering or modeling, that necessitate substantial computational capacity. As a result, organizations seeking to optimize their processing capabilities for complex workloads can greatly benefit from this advanced infrastructure.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
CoreWeave Yes 
Google Cloud Platform Yes 
IONOS No 
Intel Gaudi Software No 
Kubernetes Yes 
Microsoft Azure Yes 
NVIDIA DGX Cloud Lepton Yes 
NVIDIA virtual GPU No 
Oracle Cloud Infrastructure Yes 
Shadeform Yes 
Slack Yes 

Integrations

Amazon Web Services (AWS) No 
CoreWeave No 
Google Cloud Platform No 
IONOS Yes 
Intel Gaudi Software Yes 
Kubernetes No 
Microsoft Azure No 
NVIDIA DGX Cloud Lepton No 
NVIDIA virtual GPU Yes 
Oracle Cloud Infrastructure No 
Shadeform No 
Slack No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$3,990 per month
Free Trial Yes 
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 No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Fluidstack

Founded

2017

Country

United States

Website

www.fluidstack.io

Vendor Details

Company Name

IONOS

Founded

1988

Country

Germany

Website

cloud.ionos.com/servers/gpu-server

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