Nvidia joins Simplismart’s Series B
A fresh Nvidia AI investment has landed behind Bengaluru-based Simplismart, which helps companies run artificial intelligence models more efficiently—and, in some cases, with fewer graphics processing units (GPUs), the specialised chips that power most modern AI work. Nvidia took part in an all-primary Series B of $14 million led by Dallas Venture Capital, with Accel, Shastra VC and Micromax also in the round. The deal values the four-year-old company at about $100 million including the new money.
Demand for AI has put heavy pressure on computing capacity. Firms are spending large sums on GPUs, yet running models reliably and at a sensible cost remains hard. Different jobs need different balances of speed, price and performance, and tuning those settings is complex. Simplismart says its software automates much of that work on a customer’s existing machines rather than forcing teams to manage every setting by hand.
How the software fits in
Co-founder and chief executive Amritanshu Jain said companies do not always need the fastest or the cheapest inference—the step where a trained model answers live requests. They need speeds and costs that fit each application. Simplismart’s platform sits between models and the infrastructure underneath, adjusting how models are deployed and managed. It aims to improve response time, how many requests a system can handle, and how much computing power is used, so firms get more from the GPUs they already own.
Customers can run models through Simplismart’s own platform or inside their existing cloud and on-site setups. The company also offers fine-tuning tools, automatic scaling as demand rises or falls, and performance monitoring. Cloud providers can use the software to build their own AI inference services on GPU hardware. Simplismart says it helped AI video platform InVideo cut GPU serving costs by 56%. Other named users include HeyGen, Higgsfield, enterprise AI firm Ema, and Indian cloud provider Yotta, which uses the technology for serverless AI inference inside its Shakti Studio platform.
Jain said annualised revenue run rate—based on recent usage, not contracted recurring revenue, and excluding money passed through to infrastructure providers—has grown 14-fold in six months to an eight-figure sum. He did not give the exact figure. More than half of revenue comes from the United States, even though the firm has more customers in India.
Competition, Nvidia’s role and next steps
Alongside the Nvidia AI investment, the chipmaker has been working with Simplismart on technical links, including around Nvidia’s Dynamo inference software, with Simplismart engineers and Nvidia solutions architects collaborating. Nvidia has also helped introduce the startup to possible customers and partners, Jain said. Backing tools that can reduce GPU need may look odd for the leading AI-chip supplier, but Jain argued that more efficient inference can make Nvidia’s hardware more attractive and widen AI use overall.
The market for inference software is crowded. Simplismart competes with offerings from Nvidia itself and from large cloud providers including Amazon Web Services, Google Cloud and Microsoft Azure, plus other startups chasing faster, cheaper model runs. Jain said the firm tends to win where customers face tight service-level agreements and total cost of ownership—demanding performance with strict budgets—and that it seeks a tailored balance rather than only preset “faster” or “cheaper” modes.
Founded in 2022 by Jain, a former Oracle engineer, and Devansh Ghatak, a former Google engineer—the pair met while studying at BITS Pilani—Simplismart now has 58 people. It plans to use the capital to grow in the U.S., expand the team and invest further in its inference stack. Earlier reports had pointed to talks on a larger raise at a higher valuation; Jain declined to discuss those claims, saying the company was not actively fundraising and that the Series B was closed and would not be extended.
Aasan alfaaz mein
Nvidia ne Bharat ki AI company Simplismart mein $14 million lagaye hain. Ye software companies ko AI models kam GPUs aur behtar cost par chalane mein madad deta hai. Is se AI services sasti aur tez ho sakti hain. Pakistan ke liye seedha ye matlab hai ke AI tools aur cloud services ke peeche ki cost kam hone ka rasta khulta hai.
