GPT in a Box - Hybrid Cloud
AI & 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.
GPT in a Box was designed to give organizations the flexibility to run powerful large language models in their preferred environment - whether on-premises for data sensitivity and control, or in the cloud for scalability. By fine-tuning Meta's Llama 3 models and optimizing deployment across hybrid infrastructure, we've created a solution that combines the best of both worlds.
Key Technologies
LLM
Meta Llama 3
Hugging Face
AWS
Private Cloud
Immersion Cooling
Kubernetes
Key Features
- Cross-platform LLM deployment
- Fine-tuned model training
- Consistent performance across environments
- Optimized for structured data queries
- Fast response times with efficient resource usage
Results & Impact
GPT in a Box has delivered significant benefits:
- 70% cost reduction compared to equivalent commercial API usage
- Sub-second response times for most queries
- Full data sovereignty with on-premises deployment option
- Seamless failover between cloud and on-premises resources
- Specialized knowledge domain adaptation through fine-tuning