Nvidia Backs Indian AI Startup Simplismart With $14 Million to Cut GPU Costs

TITLE: Nvidia Backs Indian AI Startup Simplismart in $14 Million Funding Round to Make AI Cheaper to Run

 

Nvidia has invested in Simplismart, an Indian startup developing software that helps businesses run artificial intelligence (AI) models more efficiently, potentially reducing the number of graphics processing units (GPUs) they need.

 

The Bengaluru-based company has raised $14 million in a Series B funding round led by Dallas Venture Capital. Other investors include Nvidia, Accel, Shastra VC, and Micromax. The investment values Simplismart at approximately $100 million, including the newly raised capital.

 

Founded four years ago, Simplismart is tackling a growing challenge in the AI industry: running powerful AI models at scale without spending excessively on computing infrastructure.

 

### Helping Businesses Get More From Their GPUs

 

As AI adoption grows, companies are investing heavily in GPUs to power their applications. However, purchasing computing hardware is only part of the challenge. Businesses must also ensure their AI models respond quickly, handle large numbers of requests, and operate within their budgets.

 

Simplismart aims to simplify this process through software that automatically adjusts how AI models are deployed and managed. Rather than requiring companies to configure every detail themselves, its platform helps balance speed, performance, and operating costs according to each business's needs.

 

The software works between AI models and the computing infrastructure supporting them. It optimizes factors such as response times, the number of requests a system can handle, and the amount of computing power required.

 

The goal is straightforward: help businesses make better use of the hardware they already have instead of constantly investing in additional GPUs.

 

### A Platform for Deploying and Managing AI Models

 

Simplismart allows businesses to deploy AI models through its own platform or run them on existing cloud infrastructure and on-premises systems.

 

Its tools also support model fine-tuning, automatic scaling of computing resources as demand changes, and performance monitoring. Cloud providers can use the same technology to build and operate their own AI inference services.

 

AI inference refers to the process of using a trained model to generate predictions, responses, images, or other outputs. As companies introduce AI-powered products, making inference faster and more affordable has become increasingly important.

 

Simplismart says its technology has already delivered measurable savings. AI video-generation platform InVideo, for example, reduced its GPU serving costs by 56% using the startup's software.

 

Other customers include AI video companies HeyGen and Higgsfield, enterprise AI startup Ema, and Indian cloud provider Yotta. Yotta uses Simplismart's technology to support the serverless AI inference service offered through its Shakti Studio platform.

 

### Revenue Grows Rapidly as U.S. Demand Expands

 

Simplismart has also reported significant business growth. According to co-founder and CEO Amritanshu Jain, the company's annualized revenue run rate increased 14-fold over the six months leading up to the announcement, reaching an eight-figure amount.

 

This figure reflects revenue estimated from recent customer usage rather than revenue guaranteed under recurring contracts. It also excludes money passed through to infrastructure providers. Jain did not disclose the company's exact revenue.

 

Interestingly, more than half of Simplismart's revenue comes from the United States, even though it has more customers in India.

 

The startup plans to use its latest funding to strengthen its U.S. presence, hire more employees, and continue improving its AI inference technology.

 

### Why Nvidia Is Investing in Software That Can Reduce GPU Usage

 

Nvidia's investment presents an interesting contrast. The company is the dominant supplier of AI chips, yet it is backing a startup whose software can help customers run certain AI workloads using fewer GPUs.

 

However, more efficient computing does not necessarily mean lower demand for Nvidia's hardware overall.

 

Simplismart argues that reducing the cost of running AI models can make AI applications more affordable for businesses. That could encourage more companies to adopt the technology, potentially increasing demand for computing infrastructure over time.

 

Alongside the investment, Nvidia has been working with Simplismart on technical integrations, including its Dynamo inference software. Nvidia's engineers and solutions architects have collaborated with the startup, while the chipmaker has also helped introduce it to potential customers and business partners.

 

The partnership reflects a broader effort to make AI systems more practical and economical to operate as adoption expands.

 

### Competition Is Heating Up in AI Inference

 

Simplismart operates in an increasingly competitive market. Its rivals include Nvidia itself, major cloud providers such as Amazon Web Services, Google Cloud, and Microsoft Azure, as well as a growing number of startups focused on improving AI performance and reducing costs.

 

Jain says Simplismart's approach is particularly useful for customers with strict performance requirements and tight budgets.

 

Instead of offering a simple choice between faster processing and cheaper processing, the company aims to find the right balance for each customer's needs. This can be especially important for businesses that must meet specific service-level agreements while controlling their total cost of ownership.

 

As AI applications become more widely used, software that helps companies manage computing resources efficiently could become an increasingly important part of the AI infrastructure market.

 

### A Startup Built by Former Oracle and Google Engineers

 

Simplismart was founded in 2022 by Amritanshu Jain, a former Oracle engineer, and Devansh Ghatak, a former Google engineer. The two founders met while studying at BITS Pilani and later drew on their experience building and deploying machine-learning systems to establish the company.

 

The startup now has 58 employees, according to Jain.

 

The new funding will support its next phase of growth, particularly in the United States, while helping it develop its platform further and expand its team.

 

The funding announcement also follows an earlier report by The Economic Times that Simplismart was discussing a much larger fundraising round of $40 million to $50 million at a valuation between $300 million and $400 million.

 

Jain declined to comment on that report, explaining that the company was not actively raising additional funds. He said the Series B round had already closed and would not be extended.

 

### What This Means for the Future of AI

 

Simplismart's funding highlights an important shift in the AI industry. As companies race to build and deploy AI-powered products, the challenge is no longer simply about developing more powerful models. It is also about making those models affordable, reliable, and efficient enough to operate in real-world business environments.

 

By helping organizations get more performance from their existing computing resources, Simplismart hopes to reduce one of the major costs associated with AI adoption.

 

Nvidia's backing gives the startup additional financial support, technical collaboration, and access to potential customers. If Simplismart continues to demonstrate meaningful cost savings, its software could become increasingly valuable to businesses looking to expand their use of AI without allowing infrastructure costs to grow at the same pace.