Infobell IT Solutions has announced a broader collaboration with AMD to help businesses adopt and scale AI solutions. The company will use AMD Instinct™ GPUs and AMD EPYC™ CPUs to build high-performance systems that support enterprise-level AI, hybrid cloud, and high-demand computing.
Infobell has worked with AMD for several years, using its CDNA architecture and ROCm™ software to support large-scale AI and cloud-based deployments. The two companies are now expanding that relationship to meet growing demand for faster, more reliable AI infrastructure.
Infobell is also sponsoring the AMD Advancing AI 2025 initiative, as part of its continued investment in pushing real-world AI use forward. Infobell focuses on building tools that apply AI to business problems in real environments. Its offerings include its IFX (Inference Framework eXpress) platform, along with other tools for document processing, transcription, conversational AI, and large model training. These solutions aim to shorten the time it takes to develop, train, and roll out AI systems in real-world settings.
With AMD’s hardware and software stack, Infobell is speeding up AI model training and improving system performance. The combination of AMD’s Instinct GPUs and EPYC CPUs gives Infobell the power needed to deliver faster results to customers across multiple industries.
“The MI350 series GPUs are built for both AI and high-performance computing,” said Travis Karr, VP of business development at AMD. “With strong memory capacity and built-in flexibility, they support large-scale workloads, including Sovereign AI initiatives.”
Ramana Bandili, CEO of Infobell, said the partnership allows the company to develop efficient and scalable AI systems: “We design for performance, uptime, and enterprise-grade reliability. With AMD’s support, we can deliver powerful AI solutions that also make economic and operational sense.”
Infobell’s clients say the partnership is already paying off. Gallery Systems, which supports museum collection management, reported a 90% improvement in data processing performance thanks to Infobell’s optimization work.
“We handle large data sets and needed to modernize,” said Paul Thyssen, GM of Gallery Systems. “Infobell helped us redesign key systems for speed and scale.” Triveni Turbines echoed that sentiment, noting that AI adoption is becoming essential in its sector. “Infobell helped us move faster and achieve better results across operations,” said CEO S Narayan Prasad.
Infobell provides engineering and software solutions focused on AI, performance tuning, and cloud-based systems. With a team of over 400 engineers and specialists, the company supports digital transformation across industries by designing and deploying scalable, enterprise-ready technology.
