Self-Host LLMs Without the DevOps Nightmare
Run LLMs on your own GPU cluster with Float16. Get pre-built templates, production-grade monitoring, and NVIDIA MIG efficiency — without building the infrastructure layer yourself.
Maximize GPU Utilization
Run multiple models on a single GPU with NVIDIA MIG. Cut infrastructure costs without sacrificing performance.
NVIDIA MIG Built-in
Run up to 7 models on a single GPU. No manual partitioning or CUDA configuration.
4-in-1 Deployment
Deploy embedding, guardrail, LLM, and OCR together. One GPU, one deployment, one bill.
Start from Templates
Pre-built RAG Pipeline template. Customize when ready.
See Everything in Production
Real-time monitoring and debugging tools built for LLM workloads. Know exactly what your models are doing.
Production Dashboard
Monitor requests/sec, latency, and errors in real-time. No Grafana setup required.
Streaming Analytics
Debug token-by-token. See concatenated responses, token/sec, and time-to-first-token.
Request Tracing
Full request/response logging. Understand what your models are doing in production.
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Production-Ready Protection
Expose your models to the world with confidence. Built-in security features protect your endpoints from abuse.
Protected Endpoints
Expose models to the public internet with built-in rate limiting.
Bot Prevention
Block scrapers and abuse. Keep your endpoints available for real users.
Your Data, Your Control
Self-hosted means your data never leaves your environment.
<!DOCTYPE html>
<html>
<body>
<script>
// Call Float16 directly from browser
// No backend needed!
fetch('https://api.float16.cloud/v1/chat', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'pk_your_protected_key'
},
body: JSON.stringify({
model: 'typhoon-v2-70b-instruct',
messages: [{ role: 'user', content: 'Hello!' }]
})
})
</script>
</body>
</html>