Nvidia has backed Indian startup Simplismart in a $14 million Series B round, betting on software that helps companies run AI models more efficiently and, in some cases, with fewer GPUs. The all-primary round was led by Dallas Venture Capital, with Accel, Shastra VC and Micromax also participating, according to TechCrunch.
The deal values the four-year-old Bengaluru company at about $100 million including the new funding. It comes as the AI boom strains computing capacity and companies spend heavily on GPUs, while running models reliably and economically at scale remains a challenge.
Simplismart funding and what the software does
Simplismart's software sits between AI models and the computing infrastructure they run on, adjusting how models are deployed and managed to meet each customer's requirements. It optimises factors such as response speed, the number of requests handled and how much computing power is consumed, helping companies get more out of their existing GPU stack.
Customers can run models through Simplismart's own platform or inside their existing cloud and on-premises infrastructure. The startup also offers tools to fine-tune models, scale computing resources automatically as demand changes, and monitor performance, and it lets cloud providers build and operate their own AI inference services on GPU infrastructure.
"Nobody actually needs the fastest or the cheapest inference," co-founder and CEO Amritanshu Jain told TechCrunch, arguing that companies instead need speeds and costs that make sense for their specific applications.
- Headquarters: Bengaluru, India
- Founded: 2022 by Amritanshu Jain and Devansh Ghatak
