Overview
We design and deploy the complete infrastructure stack for large language models — whether fully self-hosted on your own hardware, within a private VPC, or via Azure OpenAI Service and AWS Bedrock with private networking. We handle GPU cluster selection, model quantisation, API gateway configuration, authentication, rate limiting, and cost monitoring. The right architecture for your compliance and budget requirements.
Implementation Pipeline
Model Selection
Select optimal open-source model for your use case — Llama 3, Mistral, Phi-3, Gemma 2.
Infrastructure Design
GPU cluster architecture scoped to your throughput requirements and budget.
Model Optimisation
Quantization (GGUF, AWQ, GPTQ) to maximise performance/cost ratio.
Serving Layer
vLLM or TGI serving with batching, caching, and load balancing.
API Gateway
Authenticated REST API with rate limiting, usage tracking, and logging.
Use Cases
Start Your Project
Share your requirements and we'll put together a tailored deployment plan.
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