Built for the next generation

AI infrastructure that feels premium.

Zucks AI combines secure model routing, streaming inference, developer tooling, and enterprise-grade orchestration into one high-performance platform for teams building the future of intelligent products.

Local inferenceSSE streamingAPI ready
Inference46.8K
Latency823 ms
Tokens8.4M
Active18
Model routerQwen3-0.6B

Purpose-built AI platform

From orchestrated model execution to customer-facing experiences, every layer is designed to support secure, scalable, and production-ready AI workloads.

Active models18Across open-source and enterprise stacks
Avg latency823msGlobal inference performance
Tokens / day8.4MProcessed across production workloads
Uptime99.97%Resilient infrastructure with autoscaling

Everything you need to ship AI

High-throughput inference

Optimized orchestration with dynamic load balancing for streaming and batch tasks.

Model routing

Intelligent selection across multiple LLMs based on task, permissions, and latency constraints.

Enterprise security

Role-based access, audit logging, and compliance-ready deployment patterns.

Model ecosystem

Start with a compact local model and expand into a managed multi-model architecture.

Qwen3-0.6B

Ready

Local GGUF · llama.cpp

Q4_K_MLow VRAMFast

Llama 3.1 8B

Queued

Multimodal · Open source

8k ctxVisionTool use

Mistral Nemo

Healthy

Reasoning · Self-hosted

Long contextRAGCode

Developer-first API layers

Unified model access, streaming chat responses, authentication, and observability.

Platform throughput

Live load balancing across model endpoints and token consumers.

Inference API capabilities

Prompt: System + chat memoryStream: SSE enabledAuth: JWT + RBACInfra: MariaDB + hedidsql
POST /api/v1/chat { "model": "qwen3-0.6b", "messages": [{ "role": "user", "content": "Summarize the launch plan" }], "stream": true, "temperature": 0.4, "max_tokens": 512 }

Deploy AI experiences without the chaos.

From web app to backend API, Zucks AI gives your team the tools to ship securely.

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