- Strategic engagement: Bud and NxtGen will collaborate to deliver a comprehensive AI suite on the NxtGen cloud stack.
- New offerings: Bud's AI Foundry will enable NxtGen to deliver Model-as-a-Service, Token-as-a-Service, Platform-as-a-Service, and Outcome-as-a-Service.
- India's ChatGPT alternative: NxtGen recently introduced "M," an open-source AI platform powered by the Bud Stack.
NxtGen, India's sovereign cloud leader — renowned for secure, scalable, cost-efficient infrastructure and a qualified cloud service provider for the India AI mission — has partnered with Bengaluru-based Bud Ecosystem to bring affordable, turnkey GenAI solutions to enterprises across the country. The collaboration aims to overcome the twin barriers of high infrastructure costs and scarce in-house AI expertise that have slowed generative AI adoption.
One platform, full lifecycle
Per the partnership MoU, NxtGen will integrate Bud's flagship AI Foundry into its cloud offerings, letting customers provision and manage GenAI workloads through a single, intuitive interface. This lets end customers avoid relying on disparate tools — performance optimization tools, model registries, compliance checkers, security controls, workflow orchestrators, and analytics dashboards — by delivering all these capabilities through one cohesive platform, without vendor lock-in or steep learning curves.
Meet "M" — India's alternative to ChatGPT
NxtGen recently announced "M," a next-generation open AI platform designed to transform human intent into real-world outcomes through intelligent, agentic workflows. Positioned as India's alternative to ChatGPT, "M" delivers sovereign, high-performance AI powered entirely by open systems and hosted on India's most advanced AI infrastructure — powered by the Bud Stack.
A third way on cost
Most organizations without on-premises AI hardware have had to choose between the premium pricing of global cloud providers and the complexity of building bespoke AI clusters in-house. By combining Bud's software — tuned for cost-effective infrastructure utilization — with NxtGen's competitively priced sovereign cloud, the alliance offers a third way: a pay-as-you-go GenAI environment with model-as-a-service capabilities and outcome-based pricing that undercuts the total cost of ownership on AWS, Azure, or GCP while delivering enterprise-grade performance. The joint solution also integrates Bud's hardware-agnostic inference stack for scalable LLM deployment, Bud's pre-built agents, and the Bud Jr Model Catalogue of compact, efficient models optimized for enterprise and edge deployments.
Joint R&D for India
Beyond software integration, the two companies are committing joint resources to research and development of India-focused language models and industry-specific AI agents. Finance, healthcare, manufacturing, e-commerce, and other verticals will benefit from domain-specialized SLMs and autonomous agents that understand local regulatory frameworks, linguistic nuances, and sector workflows — underscoring a shared vision of democratizing advanced AI and fostering domestic leadership in generative AI innovation.