As the AI boom strains computing capacity, Nvidia has invested $14 million in the Indian startup Simplismart in a Series B funding round. The investment focuses on software designed to help companies run AI models more efficiently and, in some cases, utilize fewer GPUs.
Nvidia participated in the round alongside Accel, Shastra VC, Micromax, with Dallas Venture Capital leading. The deal values the four-year-old startup at approximately $100 million.
Companies are currently spending heavily on GPUs to power AI applications, yet scaling these models reliably and economically remains a significant challenge. Different workloads require distinct trade-offs between speed, cost, and performance. Simplismart asserts that its software automates much of this operational burden, tailoring how models run on existing computing infrastructure rather than requiring manual configuration by users.
"Nobody actually needs the fastest or the cheapest inference," Amritanshu Jain, co-founder and CEO of Simplismart, stated in an interview. He emphasized that businesses require AI models that operate at speeds and costs suitable for their specific applications.
Simplismart’s software serves as a middleware layer between AI models and the computing infrastructure they run on, adjusting deployment and management to meet customer needs. The company claims it can optimize response times, request handling, and power consumption, allowing businesses to extract more value from their existing GPU hardware.
The Bengaluru-based startup enables companies to deploy models through its own platform or within existing cloud and on-premises environments. It provides tools for fine-tuning models, automatically scaling resources based on demand, and monitoring performance. Additionally, Simplismart allows cloud providers to build and operate their own AI inference services on GPU infrastructure.
Simplismart claims it helped the AI video-generation platform InVideo cut its GPU serving costs by 56%. The startup also collaborates with AI video companies HeyGen and Higgsfield, as well as enterprise AI startup Ema. Furthermore, the Indian cloud provider Yotta uses Simplismart's technology to power its Shakti Studio serverless AI inference service.
Jain reported to TechCrunch that Simplismart’s annualized revenue run rate has grown 14-fold over the past six months to reach an eight-figure sum. While more than half of its revenue originates from the U.S., the startup has a larger customer base in India.
Alongside the financial investment, Nvidia is collaborating with Simplismart on technical integrations involving Nvidia's Dynamo inference software. This partnership involves engineering exchanges and Nvidia helping Simplismart access potential customers and partners.
The investment presents a unique dynamic, as Nvidia, the dominant supplier of AI chips, is supporting software that can reduce dependency on hardware. Jain countered this by arguing that improving inference efficiency makes Nvidia's hardware more attractive to customers and encourages broader AI adoption.
Simplismart operates in a competitive market for AI inference software, facing rivals including Nvidia itself and major cloud providers like Amazon Web Services, Google Cloud, and Microsoft Azure. The company wins business by focusing on strict Service Level Agreements (SLAs) and Total Cost of Ownership (TCO) requirements, aiming to balance performance and cost for each client.
Founded in 2022 by former Oracle engineer Jain and former Google engineer Devansh Ghatak, the startup emerged from their experience deploying machine-learning systems. The pair met while studying at BITS Pilani, and the company currently employs 58 people.
Simplismart intends to use the new funding to expand its U.S. presence, grow its team, and further develop its inference software. Jain noted that the U.S. remains a critical market as the startup seeks to solidify its customer base.
This funding announcement follows a report by The Economic Times indicating Simplismart was in talks to raise $40 million to $50 million at a $300 million to $400 million valuation. When asked about the report, Jain declined to comment, confirming that the Series B was closed and would not be extended.
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