As the AI boom strains computing capacity, Nvidia has backed Indian startup Simplismart in a $14 million funding round, betting on software that helps companies run AI models more efficiently and, in some cases, with fewer GPUs. Nvidia participated in the all-primary Series B round alongside Accel, Shastra VC, and Micromax, with Dallas Venture Capital leading the investment. The deal values the four-year-old startup at about $100 million, including the new funding.
Simplismart says its software automates the work of deploying and operating AI models, tailoring how they run on existing computing infrastructure instead of requiring customers to manage those configurations themselves. “Nobody actually needs the fastest or the cheapest inference,” Amritanshu Jain, co-founder and CEO of Simplismart, said in an interview. He said companies need to run AI models at speeds and costs that make sense for their specific applications.
The Bengaluru-based startup offers a platform for deploying and running AI models, as well as tools to fine-tune models, automatically scale computing resources as demand changes, and monitor performance. It says it helped AI video-generation platform InVideo cut its GPU serving costs by 56%. The startup also works with AI video companies HeyGen and Higgsfield, as well as enterprise AI startup Ema. Indian cloud provider Yotta uses Simplismart’s technology to power the serverless AI inference service within its Shakti Studio platform.
Simplismart’s annualized revenue run rate has grown 14-fold over the past six months to an eight-figure sum, Jain told TechCrunch. The figure is based on recent customer usage rather than contracted recurring revenue and excludes revenue passed through to infrastructure providers. More than half of Simplismart’s revenue comes from the US, despite the startup having more customers in India.
Alongside its investment, Nvidia has been working with Simplismart on technical integrations, including around its Dynamo inference software. The collaboration involves Simplismart’s engineers and Nvidia’s solutions architects, while Nvidia has also helped introduce the startup to potential customers and partners.
The investment presents an apparent paradox as Nvidia, the dominant supplier of AI chips, is backing software that can help companies run some workloads with fewer GPUs. Jain argued that making AI inference more efficient could ultimately benefit Nvidia by making its hardware more attractive to customers and encouraging wider adoption of AI applications.
Simplismart is serving customers in a crowded market for AI inference software, competing with offerings from Nvidia itself, as well as major cloud providers including Amazon Web Services, Google Cloud, and Microsoft Azure. “Where we tend to win is where people have to be more stringent on their SLAs [service-level agreements] and TCO [total cost of ownership],” Jain said, referring to demanding performance requirements and tight cost constraints.
Founded in 2022 by former Oracle engineer Jain and former Google engineer Devansh Ghatak, Simplismart grew out of the pair’s experience building and deploying machine-learning systems. The startup now employs 58 people.
Simplismart plans to use the new funding to expand its presence in the US, grow its team, and invest further in developing its inference software.
