Techvisions
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.
Industry
Enterprise AI & Technology Infrastructure
Region
Global
Service
AI Infrastructure / MLOps / Cloud Engineering
Technology
Oracle Cloud Infrastructure (OCI) / Kubernetes / NVIDIA AI Enterprise / LLM Serving
Business Impact Delivered Through Enterprise AI Infrastructure
Scalable AI Foundation
Enabled production-ready infrastructure for enterprise AI workloads.
Improved GPU Utilization
Optimized resource allocation and workload performance.
High-Performance LLM Inference
Delivered faster response times and improved throughput.
Better AI Governance
Standardized MLOps workflows and deployment processes.
Enterprise AI Growth Required a Scalable Infrastructure Foundation
As AI adoption accelerated, Tawinya needed a robust platform capable of supporting complex AI workloads while maintaining performance, governance, and operational efficiency.
Lack of Scalable AI Infrastructure
Existing environments were not optimized for
Complex AI Workload Management
Managing AI environments introduced challenges across
LLM Performance Challenges
Enterprise AI workloads required
Limited AI Observability
The organization needed better visibility into
Enterprise AI Platform Built on OCI
Prismberry designed and implemented a scalable AI/ML infrastructure platform on Oracle Cloud Infrastructure (OCI), built for enterprise AI training, inference, and automation.
Enterprise GPU Infrastructure Deployment
Prismberry deployed a large-scale GPU cluster using
End-to-End MLOps Platform
The platform enabled
Advanced LLM Serving Stack
Prismberry implemented a high-performance serving framework using
AI Observability & Monitoring
A centralized monitoring framework using
Key Capabilities Delivered
Enterprise GPU Infrastructure
High-performance AI compute environment for large-scale workloads.
EnterpriseLLM Serving Platform
Optimized architecture for reliable enterprise AI inference.
LLMMLOps Automation
Automated model lifecycle management and deployment workflows.
MLOpsAI Observability Framework
Real-time visibility across AI systems and infrastructure.
AIDistributed AI Training
Support for advanced frameworks including DeepSpeed and Megatron-LM.
DistributedA Future-Ready AI Infrastructure Experience
Enterprise AI infrastructure, reimagined for scalability, performance, and intelligent automation.
AI Workload Orchestration
Efficient management of complex AI workloads.
High-Performance Model Serving
Reliable LLM inference with optimized performance.
Intelligent Scaling
Dynamic resource allocation based on AI demand.
AI Platform Governance
Secure, monitored, and scalable AI operations.
Experience Showcase
Have an AI Infrastructure Challenge to Scale?
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