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Nvidia to Lead $20 Million Funding Round for AI Infrastructure Startup Simplismart

Simplismart

Nvidia is in advanced talks to lead a $20 million investment in Simplismart, a generative AI infrastructure startup with offices in Bengaluru and San Francisco. The deal values the company at approximately $100 million. This figure is four times the $25 million valuation recorded in late 2024. The investment shows Nvidia's focus on the Indian AI market and the technical requirements for inference optimization.

Amritanshu Jain and Devansh Ghatak, former engineers at Oracle and Google, founded Simplismart in 2022. The company provides a no-code platform for building and managing production-grade AI systems. It operates in the MLOps orchestration layer to address the high costs of running generative AI models. Existing investors, including Accel, are expected to join the financing round.

Optimizing AI Inference and GPU Utilization

Simplismart uses a proprietary inference engine to maximize GPU utilization. When enterprises transition from experiments to full production, the cost of running models (inference) is a primary obstacle. Simplismart reports that its platform can lower infrastructure expenses by 40% while increasing total GPU hours. The modular architecture supports more than 150 open-source models, such as large language models, Whisper for speech-to-text, and various image generation tools.

Enterprise clients including Tata 1mg and Mindtickle use the platform. The no-code interface allows companies to handle the development lifecycle without hiring specialized engineering teams for every task. The system is compatible with hybrid and cloud environments, which assists firms with specific data residency or security needs.

Strategic Implications for the AI Infrastructure Market

Nvidia's role as lead investor is a signal for the AI market. Nvidia is the primary provider of H100 and Blackwell hardware, but the company is also funding software layers that simplify hardware access. By supporting Simplismart, Nvidia backs tools that reduce the difficulty of deploying generative AI applications. This support helps drive demand for Nvidia silicon.

This investment indicates a shift in focus toward model deployment and efficiency. As the market matures, the competitive advantage for firms depends on how efficiently they run models in production. Simplismart achieves scale-up times of 60 to 70 seconds using warm pools, which is a performance benchmark for enterprise AI.

The funding follows a $7 million raise in October 2024 from Titan Capital and Dallas Venture Capital. Simplismart is now expanding its presence in the MLOps market against cloud providers and specialized startups. The deal is expected to close later this quarter as Nvidia grows its venture portfolio.

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Sources

Simplismart.ai Cuts Generative AI Inference Costs by 40% with AWS

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