Nvidia Backs Indian AI Startup Simplismart in $14M Round to Optimize GPU Usage

Nvidia Invests in AI Inference Efficiency

Simplismart, a Bengaluru-based AI infrastructure startup, has raised $14 million in Series B funding led by Dallas Venture Capital, with participation from Nvidia, Accel, Shastra VC, and Micromax1

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. The deal values the four-year-old company at approximately $100 million, including the new funding1

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. Dallas Venture Capital invested close to $5 million in the round4

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. The investment marks a strategic bet on software that addresses a critical bottleneck in AI adoption: running models efficiently without constantly expanding GPU infrastructure.

Explosive Revenue Growth Signals Market Demand

Simplismart's annualized revenue run rate has grown 14-fold over the past six months to an eight-figure sum, according to co-founder and CEO Amritanshu Jain1

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. This figure is based on recent customer usage rather than contracted recurring revenue and excludes revenue passed through to infrastructure providers1

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. More than half of Simplismart's revenue comes from the U.S., despite having more customers in India1

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. Around 55% of revenue originates from the U.S., with the remainder generated in India4

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. The startup's rapid growth reflects increasing enterprise demand for cost-effective AI model deployment as companies seek alternatives to continuously purchasing more GPUs.

How Simplismart Optimizes AI Inference

Simplismart builds software that sits between AI models and GPU infrastructure, helping enterprises optimize the cost, speed, and performance of running AI applications2

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. The platform automates complex adjustments that would otherwise require manual configuration, tailoring how models run on existing computing infrastructure instead of requiring customers to manage those configurations themselves1

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. "Nobody actually needs the fastest or the cheapest inference," Jain explained, noting that companies instead need to run AI models at speeds and costs that make sense for their specific applications1

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. The startup's inference engine lets businesses configure how models run based on their speed, cost, and performance requirements, while its orchestration platform manages deployment and scaling across cloud and on-premises infrastructure4

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Proven Results with Major Clients

Simplismart's technology has delivered measurable results for its customers. The startup helped AI video-generation platform InVideo cut its GPU serving costs by 56% using its software1

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. Its customers include HeyGen, Higgsfield, InVideo, Shiprocket, Apna, and Ema, which use its platform to run production workloads across video, voice, multimodal, and enterprise AI applications2

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. Indian cloud provider Yotta uses Simplismart's technology to power the serverless AI inference service within its Shakti Studio platform1

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. This allows customers to run AI models without managing the underlying inference infrastructure themselves4

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Three Revenue Models Address Different Needs

Simplismart offers three deployment and pricing models to serve different customer requirements4

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. Under the shared endpoint model, customers pay based on token consumption without a minimum fee. Dedicated endpoints allow customers to rent GPU infrastructure along with Simplismart's optimization software, with charges linked to GPU usage and runtime. The bring-your-own-compute model caters to businesses that want to run workloads on their own infrastructure to meet data and regulatory requirements, particularly in sectors such as banking, financial services, and insurance4

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. For its cloud-provider offering, Simplismart works with Nvidia to help providers deploy and manage AI infrastructure at scale without owning the computing infrastructure4

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The Nvidia Partnership Paradox

The investment presents an apparent paradox: Nvidia, the dominant supplier of AI chips, is backing software that can help companies run some workloads with fewer GPUs1

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. Jain argued that making AI inference more efficient could ultimately benefit Nvidia by making its hardware more attractive to customers and encouraging wider adoption of AI applications1

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. Alongside its investment, Nvidia has been working with Simplismart on technical integrations, including around its Dynamo inference software1

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. The collaboration involves Simplismart's engineers and Nvidia's solutions architects, while Nvidia has also helped introduce the startup to potential customers and partners1

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Competing in a Crowded Market

Simplismart operates in an increasingly crowded market for AI inference software, competing with offerings from Nvidia itself, as well as major cloud providers and hyperscalers including Amazon Web Services, Google Cloud, and Microsoft Azure1

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. A growing number of startups are also developing tools to make AI models faster and cheaper to run as demand grows for AI applications and the need to make better use of expensive GPU resources intensifies1

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. "Where we tend to win is where people have to be more stringent on their SLAs [service-level agreements] and TCO [total cost of ownership]," Jain said, referring to demanding performance requirements and tight cost constraints1

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. Unlike rivals that offer preset options for faster or cheaper inference, Simplismart aims to find a balance tailored to each customer's needs1

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Expansion Plans and Future Development

Founded in 2022 by former Oracle engineer Amritanshu Jain and former Google engineer Devansh Ghatak, Simplismart grew out of the pair's experience building and deploying machine-learning systems1

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. The two met while studying at BITS Pilani, and the startup now employs 58 people1

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. The funding will support platform development, cloud-provider and sovereign AI partnerships, and expansion across North America and other global markets2

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. Simplismart plans to use the new funding to expand its presence in the U.S., grow its team, and invest further in development1

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. The company is also working on a dynamic GPU scheduling layer that would match AI workloads with available computing capacity across regions and time zones to help cloud providers improve GPU utilization2

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. Prior to this round, Simplismart raised $7 million in a Series A round led by Accel in October 20244

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