Nvidia backs Indian startup helping companies run AI models with fewer GPUs
Nvidia has invested in Bengaluru-based Simplismart, a startup whose software helps companies deploy and operate AI models more efficiently. The funding reflects demand for ways to manage the cost and complexity of AI computing as companies scale their services, and Nvidia is also working with Simplismart on technical integrations.
The $14 million Series B was led by Dallas Venture Capital, with Nvidia, Accel, Shastra VC and Micromax participating; it values Simplismart at about $100 million. The company says its software can tune model performance and resource use on customers’ existing infrastructure, and reports that it cut InVideo’s GPU serving costs by 56%. Its annualised revenue run rate has grown 14-fold in six months to an undisclosed eight-figure sum, based on recent usage.
In short
- Nvidia joined a $14 million funding round for Simplismart.
- The startup says it cut InVideo’s GPU serving costs by 56%.
- Its annualised revenue run rate grew 14-fold in six months.
Explained simply
AI models need powerful computer chips, known as graphics processing units (GPUs), to be trained and run. As businesses use AI in more services, the computing needed to keep those services running can become costly and complex.
Simplismart is a Bengaluru-based company that makes software to help businesses run AI models on their own computing systems. Nvidia makes GPUs widely used for AI, while venture capital firms such as Accel and Dallas Venture Capital invest in companies they expect to grow.
The issue matters because the cost of running AI services can affect how widely companies adopt them. Software that makes better use of existing computing resources could help businesses serve more users without adding as much extra hardware.
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