AI Cloud Infrastructure & Inference
Hosting generative AI requires radically different architecture than traditional web apps. We build secure, high-throughput GPU clouds for production inference.
Secure Private LLM Hosting
When data privacy is non-negotiable, sending sensitive information to public APIs is not an option. We deploy powerful open-weights models (like Llama 3) inside your own secure VPC (Virtual Private Cloud) on AWS, GCP, Azure, or specialized GPU providers like CoreWeave.
Your data remains entirely under your control, ensuring full compliance with HIPAA, SOC2, and GDPR standards.
Hardware-Aware Optimization
GPU compute is expensive. Running raw models in production can result in exorbitant costs. We utilize advanced optimization techniques such as quantization (INT8, AWQ), KV-cache optimization, and continuous batching (vLLM, TGI) to drastically increase token generation speed while reducing memory footprints.
Result: Up to 60% reduction in inference costs while maintaining high quality output.
MLOps & Scalability
Managing AI models in production requires continuous monitoring. We set up robust MLOps pipelines to handle load balancing across multi-node GPU clusters, track model drift, log prompts/completions securely, and automatically scale instances up and down based on real-time traffic spikes.