Nvidia Backs Simplismart: Indian Startup Optimizes AI Inference to Reduce GPU Dependency

In a strategic move that underscores the shifting dynamics of the AI infrastructure market, Nvidia has invested in Indian startup Simplismart as part of a $14 million Series B funding round. The investment, led by Dallas Venture Capital alongside Accel, Shastra VC, and Micromax, values the four-year-old Bengaluru-based company at approximately $100 million. This move is particularly notable given Nvidia’s dominant position as a GPU supplier, as Simplismart’s software is designed to help enterprises run AI models more efficiently, often requiring fewer graphics processing units (GPUs) to achieve the same performance metrics. The core innovation of Simplismart lies in its ability to automate the complex configuration of AI model deployment. As companies face escalating costs associated with powering AI applications, the challenge of balancing speed, cost, and performance has become critical. Simplismart’s software sits between the AI models and the underlying computing infrastructure, dynamically adjusting deployment parameters to meet specific business requirements. Amritanshu Jain, co-founder and CEO, emphasized that businesses do not inherently need the absolute fastest or cheapest inference; rather, they require a tailored balance that makes economic sense for their specific use cases. By optimizing factors such as response time, request handling capacity, and computing power consumption, the platform enables companies to extract maximum value from their existing GPU stacks. The practical impact of this technology is already evident in its client base. Simplismart reported that it helped AI video-generation platform InVideo reduce its GPU serving costs by 56%. The startup also serves prominent clients such as HeyGen, Higgsfield, and enterprise AI firm Ema. Furthermore, Indian cloud provider Yotta utilizes Simplismart’s technology to power serverless AI inference services within its Shakti Studio platform. Jain revealed that the company’s annualized revenue run rate has surged 14-fold over the past six months to reach an eight-figure sum, with more than half of this revenue currently originating from the United States, despite a larger customer base in India. The collaboration with Nvidia extends beyond financial backing, involving deep technical integrations, particularly around Nvidia’s Dynamo inference software. Nvidia’s solutions architects have worked directly with Simplismart’s engineers to refine these integrations, while also facilitating introductions to potential customers and partners. Jain addressed the apparent paradox of a chip giant backing software that reduces GPU usage, arguing that making AI inference more efficient ultimately benefits Nvidia by making its hardware more attractive and encouraging broader adoption of AI applications across various industries. Operating in a crowded market that includes competitors from Nvidia itself, as well as major hyperscalers like Amazon Web Services, Google Cloud, and Microsoft Azure, Simplismart differentiates itself through its focus on stringent Service-Level Agreements (SLAs) and Total Cost of Ownership (TCO). Founded in 2022 by former Oracle engineer Jain and former Google engineer Devansh Ghatak, the company now employs 58 people. The new funding will be utilized to expand the company’s presence in the U.S., grow its engineering team, and further develop its inference software, solidifying its position in the rapidly evolving landscape of AI infrastructure optimization.