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What is INGATE GPU Server?

The INGATE GPU Server offers a dedicated bare-metal hosting service specifically designed for companies involved in artificial intelligence and machine learning activities, such as training, inference, rendering, and visualization. Businesses can rent dedicated servers that are fitted with powerful NVIDIA GPUs, including the RTX 4000 Ada, RTX PRO 6000 Blackwell, L40S, and H100 NVL, with the flexibility to choose multiple GPUs according to their requirements. INGATE provides both Dell PowerEdge and Supermicro systems, enabling clients to customize server configurations to suit their unique needs. These servers are securely located in the EMC Home of Data data center in Munich, Germany, ensuring a reliable infrastructure. Each client is paired with a dedicated account representative and can access technical support whenever necessary for their projects. This service primarily targets professional users who demand powerful GPU computing capabilities for tasks like model development and rendering. Furthermore, INGATE prioritizes the safeguarding of customer data, boasting an information security management system certified to ISO 27001 and ISO 27017 standards, which ensures data sovereignty is upheld within Germany. This dedication to security, alongside personalized service, positions INGATE as an appealing choice for organizations in search of effective and secure GPU computing solutions. Additionally, by continually updating their technology and services, INGATE aims to meet the evolving demands of the industry.

What is Axe Compute?

Axe Compute provides a robust bare-metal GPU infrastructure designed specifically for enterprise-level AI and machine learning needs, ensuring widespread global reach, dedicated clusters, and dependable accessibility. In approximately 48 hours, teams can obtain dedicated GPU clusters from a network spanning over 200 locations, enabling them to choose from various regions, GPU types, fabrics, interconnects, and topologies. This solution effectively addresses the frequently underestimated challenges of scaling AI, such as provisioning delays, cloud availability limitations, quota restrictions, rigid economic structures from providers, expenses related to data transfer, and performance issues that arise from virtualization. By offering unadulterated bare-metal access without virtualization overhead or interference from other users, Axe empowers teams to proficiently manage LLM training, inference, diffusion, fine-tuning, enterprise deployment, and a multitude of other AI-driven activities with greater control. Furthermore, its geographically distributed GPU infrastructure guarantees low-latency access that is in close proximity to both users and data, significantly reducing the need to shift data to centralized cloud locations, which in turn optimizes operations for teams engaged in intricate AI projects. This comprehensive approach not only boosts performance but also enhances the overall efficiency of AI workflows, making Axe Compute a valuable partner in the evolution of artificial intelligence.

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Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

€951.20/month
Starting at €951.20 per month, excluding statutory VAT. Price varies with the selected GPU server configuration.

Pricing Information

Pricing not provided

Supported Platforms

Not specified

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

INGATE

Date Founded

2005

Company Location

Germany

Company Website

www.ingate.de/en/bare-metal/gpu-server

Company Facts

Organization Name

Axe Compute

Company Location

United States

Company Website

axecompute.com

Categories and Features

Cloud GPU

Not specified

Categories and Features

AI Infrastructure

Not specified

Cloud GPU

Not specified

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