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IONOS Cloud GPU ServersIONOS provides GPU Servers that create a powerful computing environment tailored for handling tasks requiring much greater power than conventional CPU systems can offer. This setup includes high-quality NVIDIA GPUs, such as the H100, H200, and L40s, alongside dedicated AI accelerators like Intel Gaudi, which support extensive parallel processing for resource-intensive applications. With GPU-accelerated instances, the cloud infrastructure is further improved by integrating dedicated graphical processors, allowing virtual machines to perform complex calculations and manage data-heavy operations considerably more swiftly than standard servers. This solution is particularly advantageous in sectors like artificial intelligence, deep learning, and data science, where it is crucial to train models on large datasets or conduct fast inference processes. Additionally, it supports big data analytics, scientific simulations, and visualization tasks requiring significant computational strength, such as 3D rendering and modeling. Consequently, organizations aiming to enhance their processing power for intricate workloads can reap substantial benefits from this sophisticated infrastructure, making it an ideal choice for modern computational demands. Moreover, the flexibility of this service allows businesses to scale their resources according to project requirements, ensuring efficient performance across various applications.
What is Mirai?
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What is Hedra?
Hedra is a visual artificial intelligence infrastructure and model development platform that enables organizations to train, optimize, deploy, and operate multimodal AI systems. The platform combines production inference services, specialized model development, and research-driven optimization tools for demanding AI workloads. Its inference infrastructure supports image, video, audio, language, diffusion, and world models through a unified developer API. The World Model Runtime provides a specialized execution environment designed to improve the performance of computationally intensive visual generation and multimodal inference. Vision-native kernels optimize operations such as attention across video frames and image encoding and decoding to improve processing efficiency. Quality-aware quantization reduces numerical precision while accounting for the effects on generated image and video quality. Step-aware scheduling coordinates batching and caching around individual generation steps to optimize GPU utilization, throughput, and response latency. Hedra's Model Factory provides custom model development services, allowing research teams to work with customers on models adapted to specific problems, datasets, and hardware environments. Its recursive self-improvement research preview uses AI agents to conduct iterative experiments within goals and safeguards established by human researchers. Deployment options include fully managed Hedra Cloud, hybrid infrastructure using customer-owned resources, and sovereign on-premises environments for organizations requiring greater control over their computing systems. Hedra also provides model distillation, post-training, inference optimization, developer integrations, and research capabilities supporting generative media, visual intelligence, robotics, and physical AI systems.
Integrations Supported
Bookline
DeepSeek R1
Gemma 3
Gemma 4
LFM-3B
Llama
Polaris
Qwen3
SmolLM2
API Availability
API Availability
Pricing Information
Pricing not provided
Free Version
Pricing Information
Pricing not provided
Supported Platforms
SaaS
iPhone
iPad
Mac
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Company Facts
Organization Name
Mirai
Date Founded
2024
Company Location
United States
Company Website
trymirai.com
Company Facts
Organization Name
Hedra
Date Founded
2023
Company Location
United States
Company Website
www.hedra.com
Categories and Features
AI Inference
Not specified
Categories and Features
AI Inference
Not specified
AI/ML Model Training
Not specified