Univars AI Enterprise

The Sovereign AI Gateway & Pan-African Inference Provider

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    ---
    
    ## About Univars AI
    Univars AI operates the premier **Sovereign GPU Network**, bridging enterprise AI needs with high-performance, locally-hosted infrastructure. As an official Hugging Face Inference Provider, we offer highly optimized, zero-latency inference routing designed specifically for financial institutions, governments, and privacy-conscious enterprises.
    
    We believe that intelligence should be sovereign. Our custom infrastructure operates seamlessly across top-tier data centers globally and bare-metal nodes across Africa (Nairobi, Lagos, Johannesburg).
    
    ## Hugging Face Inference Provider
    We provide **serverless and dedicated inference endpoints** directly integrated into the Hugging Face ecosystem. 
    
    *   **Zero Token Tax:** Pay only for raw compute. No platform markups on open-weights inference.
    *   **Sovereign Data Residency:** Choose your execution region to comply with local data protection laws (GDPR, CBK, NDPR).
    *   **Ultra-Low Latency:** Optimized vLLM and TGI routing for sub-second Time To First Token (TTFT).
    *   **Multi-Currency Billing:** Settle inference compute natively in USD, KES, NGN, and EURC via ShujaaPay integration.
    
    ---
    
    ## Our Fleet Capabilities
    Through our proprietary **Jenga GPU Orchestrator**, Univars AI dynamically routes Hugging Face requests across:
    *   **NVIDIA H100s & A100s** for massive LLM training and batch inference.
    *   **NVIDIA L4s & T4s** for high-throughput, low-cost conversational inference.
    *   **Google TPU v5e** for specialized tensor operations.
    
    ---
    
    ## Integrating with Univars AI
    Getting started with our Hugging Face endpoints is seamless. Just select **Univars AI** from the Inference Providers dropdown on any supported model card!
    
    ```python
    from huggingface_hub import InferenceClient
    
    # Use Univars AI as your Inference Provider
    client = InferenceClient(
        model="meta-llama/Llama-3-70b-chat-hf",
            provider="univars_ai",
                api_key="hf_..."
                )
                
                response = client.chat_completion(
                    messages=[{"role": "user", "content": "Explain sovereign AI in one sentence."}],
                        max_tokens=100
                        )
                        print(response.choices[0].message.content)
                        ```
                        
                        ## Trust & Security
                        - **SOC2 Type II Compliant** (Pending)
                        - **End-to-End Encryption** (TLS 1.3)
                        - **Zero-Logging Policy** on inference payloads (Enterprise Tier)
                        
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                          <i>Building the intelligence layer for the Global South and beyond.</i>
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