Dedicated Language Inference

Handle Massive Workloads at Minimal Costs. Securely Hosted in Europe.

Model Title

Reference to HF

0
1
2

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Size: 50B

Bits: 16b

Max. Context: 10k

Model Title

Reference to HF

0
1
2

Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum.

Size: 50B

Bits: 16b

Max. Context: 10k

Model Title

Reference to HF

0
1
2

Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum.

Size: 50B

Bits: 16b

Max. Context: 10k

More Models

Maximizing Speed.

Minimizing Token Costs.

  • Quantized inference

  • Cost efficient GPUs

2x faster

Increase inference speed using the latest quantization algorithms such as GPTQ and FP8.

9x cheaper

Lower costs per token when comparing Llama 70B to OpenAI's GPT-4o.

Start building.

Don't waste time setting up compute infrastructure.

Select your model and immediately access it via API. Models come with an OpenAI-compatible endpoint, allowing you to use popular tools like LangChain right away.

Security First.

Secure solutions designed to meet strict standards.

  • GDPR compliant

  • ISO certified hosting

EU Standards

The compute infrastructure is exclusively operated and maintained within the EU. All compute providers are ISO-27001 certified and strictly adhere to GDPR regulations.

Maximum Privacy

Data remains entirely owned by the user, with no sharing, storage, or use for training purposes. Design features inherently mitigate data leaks, ensuring maximum data security.

Frequently Asked Questions

What is dedicated inference?

Dedicated inference offers exclusive access to a specific model, ensuring that you are the sole user of the underlying compute resources. Unlike serverless options, you won't have to share these resources with other users, guaranteeing consistent performance.

This makes it particularly suitable for applications that require low latency, have a heavy workload, or involve batch processing tasks.

What does ⚡ indicate?

The model is quantized using a methodology that balances a slight reduction in accuracy with significant reductions in computing demand and energy consumption. This approach provides a range of variants, from compact and economical options to larger, near-lossless alternatives, catering to various use cases and preferences.

Quantization offers a compelling solution for reducing inference costs while maintaining high performance standards. Leveraging quantized models enhances cost efficiency while preserving quality.

Is my data stored or used for training?

No, none of your data is stored or used for training.

Where are my models hosted?

Your models are hosted on ISO 27001 certified infrastructure, utilizing cutting-edge GPUs. The infrastructure is located within Europe, adhering to GDPR standards.

How is the quality assessed?

We utilize Eleuther's Evaluation Harness to assess the quality of models across a wide range of tasks. This allows you to compare models against each other, providing a comprehensive understanding of their performance.

However, for practical reasons, we may subsample larger evaluation datasets to 1,000 entries, which may lead to slight variations when compared to other public evaluations.

Contact Us

Contact us via email. Additionally, our discord server is accessible to developers.

Enterprise

Prefer to run your own fine-tuned model or need an auto-scaling setup? Connect with experts for tailored LLM-Inference solutions. They'll guide you to a solution for your needs.

Support

Reach out to customer support for assistance with general inquiries or specific concerns.