Enterprises are rapidly scaling Generative AI, but production deployments require more than raw performance—they demand predictable latency, cost efficiency, and enterprise-grade scalability. This POV presents how Wipro Enterprise GenAI Solutions on IBM Cloud, powered by Intel® Gaudi® 3 AI Accelerators, provide a future-ready foundation for mission-critical GenAI workloads.
Based on real-world benchmarking and production-like experimentation, the paper demonstrates how Intel® Gaudi® 3 enables high-throughput, low-latency inference for enterprise use cases such as Retrieval-Augmented Generation (RAG), SOP summarization, and knowledge search. Using industry-standard models including IBM Granite 8B and Meta Llama 3.1 8B, the solution is evaluated across key enterprise metrics such as Time-to-First-Token (TTFT), token latency stability, concurrency handling, and throughput scaling.
The results show that Intel® Gaudi® 3 delivers stable and predictable performance under high concurrency, demonstrating comparable or improved throughput in tested scenarios while maintaining consistent latency behavior—critical for SLA-driven enterprise applications.
Beyond performance, the POV outlines the business impact of this architecture, including lower total cost of ownership, improved performance-per-dollar, energy-efficient operations, and stronger governance. Combined with Wipro’s platform engineering, MLOps automation, and FinOps-led controls, the solution provides a practical blueprint for enterprises to move GenAI from pilot to production with confidence.
Download the POV “Wipro Enterprise GenAI Solutions on IBM Cloud Powered by Intel® Gaudi® 3 Accelerators” to explore the architecture, benchmarks, and deployment best practices.
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