🌟 New — Nexus 4.0 with Edge Inference

The AI infrastructure layer
for serious teams.

Train, deploy, and scale ML models on a single platform. Sub-50ms inference. SOC 2 compliant. Built for production.

import nexus

client = nexus.Client(api_key="sk_...")
response = client.complete(
  model="nexus-llama-70b",
  prompt="Summarize Q3 sales:",
)

Everything to ship AI in production

⚡

Edge GPUs in 14 regions. Serve any model with predictable, low latency.

🔒

Enterprise-grade security with private VPCs, encryption at rest, and audit logs.

📊

Trace every request. Debug prompts. Monitor cost, latency, and quality.

🔄

From 1 to 10,000 RPS. Pay only for compute used. No idle warm pools.

🧠

Llama, Mistral, Claude, GPT, and your fine-tunes — all behind one API.

🛠️

LoRA, QLoRA, full FT. Train on your data with one CLI command.