Infobell Expands Collaboration with AMD to Accelerate Enterprise-Ready AI Innovation
As a long-standing engineering and solutions partner to AMD, Infobell leverages the AMD CDNA architecture and ROCm™ software stack to deliver high-performance AI, cloud, and high-performance computing (HPC) solutions to leading enterprises and cloud service providers worldwide.
Infobell is also a proud sponsor of the AMD Advancing AI 2025, underscoring its commitment to accelerating AI adoption with AMD technologies.
Delivering Real-World AI Impact
Infobell brings deep full-stack AI expertise to real-world enterprise and hybrid cloud environments. Its innovations—ranging from AI Inference Framework eXpress (IFX) platform, use case-based service products such as DocPrep RAG, Transcribe, ConvoGene™, VAST, SmartE, EchoSwift™ to advanced performance analysis and domain-specific LLM training—demonstrate the transformative potential of AI-in-action at scale.
Through its engineering partnership with AMD, Infobell delivers AI that is faster to value and faster to train and infer. By leveraging ROCm-optimized performance across AMD Instinct GPUs and AMD EPYC CPUs, Infobell accelerates both training and inference cycles, enabling enterprises to adopt AI more rapidly and achieve better business outcomes.
“The AMD Instinct MI350 series GPUs deliver industry-leading performance for next-generation Sovereign AI and hybrid HPC-AI architectures,” said Travis Karr, corporate vice president of business development, Data Center GPU Business, AMD. “Built on our advanced 4th Gen AMD CDNA architecture, the GPUs provide leadership memory capacity and robust support for both AI and HPC workloads, enabling our customers to meet the evolving demands of Sovereign AI and large-scale HPC deployments.”
“At Infobell, we don’t just build AI—we engineer it for performance, reliability, and enterprise scale,” said Ramana Bandili, Chief Executive Officer at Infobell IT Solutions. “Leveraging AMD Instinct MI Series GPUs and the ROCm™ software stack, we fine-tune large language models, deliver seamless multimodal AI experiences, and optimize performance across the entire stack. Our collaboration with AMD enables us to bring transformative AI solutions to enterprise customers with exceptional speed, cost-efficiency, and sustainability.”
“For over 40 years, Gallery Systems has developed collections management solutions for the world’s leading museums and cultural institutions. We are dedicated to helping our clients continually improve how they manage and share their high-value collections,” said Paul Thyssen, GM of Gallery Systems Inc. “Our applications process massive volumes of archival and provenance data across global collections. As we modernized for enterprise scale, Infobell’s product engineering and performance optimization expertise proved invaluable—delivering over 90% performance boost by dramatically reducing our data processing time. Infobell’s deep understanding of performance optimization of latest technologies, applications, and infrastructure stacks uniquely positions them to offer high-performing Enterprise AI and enhance the overall customer experience.”
“As energy and engineering sectors evolve, embracing AI is not just a choice—it’s a strategic imperative,” said S. Narayan Prasad, CEO, Triveni Turbines. “Our partnership with Infobell has enabled us to explore new possibilities in faster time to value and operational excellence.”
