- Developers & Engineers: Integrate EU-hosted AI models into apps, tools, or workflows with standard API calls.
- Startups & Tech Teams: Build AI features without unpredictable usage fees or dependence on third-party training on your data.
- AI Enthusiasts: Experiment with multiple open-source models and customize usage within transparent pricing tiers.
- Product Managers: Add chat, completion, and AI assistants to products with reliable EU data residency.
- Enterprise IT & Compliance Teams: Ensure data protection with GDPR-focused infrastructure and no logging of prompts or completions.
How to Use Emby.ai?
- Sign Up & Get an API Key: Register on the platform and get an API key without needing a credit card.
- Choose a Model & Plan: Pick from open-source models (like Llama 3.1, Llama 3.3, DeepSeek, etc.) and select a subscription that fits your usage.
- Make API Requests: Use standard HTTP clients (curl, Python, etc.) to call the API for chat, completions, or other AI tasks.
- Scale as Needed: Increase token capacity and daily limits by upgrading plans for larger workloads.
- Monitor & Manage: Track usage and optimize requests based on transparent token pricing.
- EU-Hosted AI: Offers data residency and GDPR compliance by hosting all services in the EU (Amsterdam).
- Open-Source Model Options: Use a variety of LLMs like Llama and DeepSeek without being locked into a single proprietary model.
- Transparent Pricing: Predictable token billing with no surprise charges and clear cost structures per model.
- OpenAI-Compatible API: Easily integrates into existing tools and workflows with familiar API formats.
- Scalable Plans: Choose plans with different daily token limits to match development or production needs.
- EU GDPR Compliance & Privacy: Strong focus on hosting and data protection for European users.
- Multiple Model Support: Flexibility to pick open-source LLMs for different use cases.
- Clear, Predictable Pricing: Token-based costs with no hidden fees.
- Developer-Focused: May require coding skills to integrate and use effectively.
- Limited Brand Awareness: Less widely known than major AI API providers, which may affect community support.
- Subscription Cost: Annual plans can be expensive for high token volumes compared to some alternatives.
Custom
Custom Pricing.
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Snowflake - Arctic
Snowflake's Arctic is a family of open-source large language models optimized for enterprise workloads, featuring a unique dense-MoE hybrid architecture that delivers top-tier performance in SQL generation, code tasks, and instruction following at a fraction of comparable model development costs. Released under Apache 2.0 license with fully ungated access to weights, code, open data recipes, and research insights, it excels in complex business scenarios while remaining capable across general tasks. Enterprises can fine-tune or deploy using popular frameworks like LoRA, TRT-LLM, and vLLM, with detailed training and inference cookbooks available. The models lead benchmarks for enterprise intelligence, balancing expert efficiency for fast inference and broad applicability without restrictive gates or proprietary limits.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai