AI & Machine Learning Services
AI platforms, machine learning model development, and LLM deployment - built for production infrastructure, not a proof of concept.
Overview
AI work here means owning the whole chain - infrastructure, model training, and deployment - not handing over a model and leaving the hard part to someone else.
From infrastructure design through model development to deployment: cost-efficiency and the hardware you actually have drive the decisions, not the other way around.
Why Choose Our AI Services
- Enterprise-grade reliability
- Reduced TCO
- Proven implementation experience
- Hardware-optimized solutions
- On-premises and cloud deployments
Our AI & Machine Learning Services
AI Infrastructure Design & Optimization
Custom-designed AI infrastructure solutions that reduce total cost of ownership while delivering enterprise-grade performance.
- Design and implementation of AI/ML platforms
- GPU virtualization for AI workloads
- Enterprise-grade AI infrastructure
- Immersion cooling for AI hardware
- Software-defined storage optimization
Machine Learning Model Development
End-to-end machine learning solutions from data preparation to model training, optimization, and deployment.
- ML model training and optimization
- Performance benchmarking
- Resource utilization optimization
- Model deployment pipelines
- Medical imaging and specialized datasets
Large Language Model Deployment
Specialized implementations of large language models for enterprise applications with fine-tuning for specific use cases.
- Meta Llama model implementations
- Model fine-tuning for specific domains
- Cross-platform LLM deployment
- Hybrid cloud/on-prem solutions
- Structured data query optimization
Featured Case Study
GPT in a Box - Hybrid Cloud
A hybrid deployment of large language models across both private cloud immersion clusters and AWS. Features fine-tuned Meta Llama 3 models with consistent performance across environments.
Key Achievements:
- Deployed Meta Llama 3 models with cross-platform consistency
- Fine-tuned models for domain-specific applications
- Optimized for structured data queries with fast response times
- Implemented efficient resource usage across both environments
