This model runs as a dedicated deployment on large GPUs and isn't in the shared playground by default. Get in touch and we'll set it up for you.
Llama 3.1 405B Instruct FP8 is an open-source language model from Meta with 406B parameters, hosted on EU GPUs via an OpenAI-compatible API.
This model needs 585 GB of VRAM, so several GPUs. That makes the shared router rate high. From roughly 50 million tokens a month a dedicated deployment costs less.
Shared EU router, pay-per-token, scale-to-zero. Dedicated GPU deployments are billed hourly, see pricing.
Not available on the shared router. Pricing on request as a dedicated GPU deployment.
Drop-in replacement for OpenAI: change only the base URL and API key. The Anthropic format (/v1/messages) is supported too.
curl https://hostyourai.com/api/v1/chat/completions \
-H "Authorization: Bearer hyai-..." \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-3.1-405B-Instruct-FP8",
"messages": [{"role": "user", "content": "Hello!"}]
}'Yes. HostYourAI runs Llama 3.1 405B Instruct FP8 on GPUs in European datacenters via vLLM. Prompts and outputs never leave the EU and there is no US cloud provider in the chain.
Yes. All processing happens inside the EU, a Data Processing Agreement (DPA) is available and the subprocessor list is public. Open-source weights also mean: no training on your data.
Via the shared EU router you pay €1.20 per million input tokens and €3.40 per million output tokens, with no fixed costs. For high volume or isolation you can also run Llama 3.1 405B Instruct FP8 as a dedicated hourly GPU instance.
Yes. You use the standard OpenAI SDKs with a custom base URL (https://hostyourai.com/api/v1). The Anthropic Messages API is supported as a drop-in as well.
Llama 3.1 405B Instruct FP8 isn't available by default yet. Leave your details and we'll arrange a dedicated deployment.
Request access