Prismberry partnered with Tawinya to architect and implement a high-performance AI/ML infrastructure platform on OCI, enabling enterprise-scale LLM workloads, distributed AI training, real-time inference, and advanced MLOps capabilities.
Enabled production-ready infrastructure for enterprise AI workloads.
Optimized resource allocation and workload performance.
Delivered faster response times and improved throughput.
Standardized MLOps workflows and deployment processes.
As AI adoption accelerated, Tawinya needed a robust platform capable of supporting complex AI workloads while maintaining performance, governance, and operational efficiency.
Prismberry designed and implemented a scalable AI/ML infrastructure platform on Oracle Cloud Infrastructure (OCI), built for enterprise AI training, inference, and automation.
Prismberry deployed a large-scale GPU cluster using
The platform enabled
Prismberry implemented a high-performance serving framework using
A centralized monitoring framework using
Enterprise AI infrastructure, reimagined for scalability, performance, and intelligent automation.
Efficient management of complex AI workloads.
Reliable LLM inference with optimized performance.
Dynamic resource allocation based on AI demand.
Secure, monitored, and scalable AI operations.
Prismberry helps enterprises build scalable AI platforms that accelerate innovation, improve performance, and support next-generation AI initiatives.
See why enterprises trust Prismberry to build AI-first systems that actually work.
