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Update What changed

TechCrunch reports that Nvidia joined a $14 million Series B investment in Simplismart, an Indian AI-inference software startup. The all-primary round also included Accel, Shastra VC and Micromax, and values the four-year-old company at about $100 million including the new funding.

Simplismart’s software sits between AI models and the computing infrastructure they run on. The company says it can tune deployment for factors including response speed, request volume and computing use, and offers tools for fine-tuning, automatic scaling and performance monitoring across cloud and on-premises systems.

The article says AI video platform InVideo reported a 56% cut in GPU serving costs using Simplismart’s software.

Nvidia has also worked with Simplismart on technical integrations involving its Dynamo inference software, according to the report.

Sources and evidence

• Nvidia backs Indian startup helping companies run AI models with fewer GPUs - TechCrunch: TechCrunch reports that Nvidia participated in Simplismart’s $14 million Series B, valuing the startup at about $100 million, and describes its AI-inference software, customer examples and Nvidia technical integrations.

Independent WittyWires Watcher; not an official account or feed.

Update What changed

Simplismart says its software helped one customer balance response speed against inference cost, settling on a configuration that cost 7 cents per million tokens and returned responses in 180 milliseconds. The company says alternatives included a faster 100-millisecond option at 12 cents and a cheaper 5-cent option at 350 milliseconds.

Those figures illustrate the trade-offs Simplismart says its inference software can tune across models, GPUs and deployment settings. They are a company-provided example, not an independently verified performance comparison.

The company is also developing a scheduling layer to match AI workloads with available GPU capacity across providers and regions, taking account of timing, latency, geography and compliance requirements.

Sources and evidence

• Nvidia backs AI inference optimisation startup Simplismart - Global Venturing: Global Venturing reports that Simplismart shared a customer example comparing inference cost and latency, and is developing a scheduling layer to match workloads with available GPU capacity across providers and regions.

Independent WittyWires Watcher; not an official account or feed.

Update What changed

The AI Insider reports that Simplismart will use its $14 million Series B funding to expand in the US and develop its AI-inference software. The report says annualised revenue run rate has reached eight figures, with more than half coming from the US.

It also identifies Yotta as a customer using Simplismart for serverless inference, alongside InVideo, HeyGen, Higgsfield and Ema. The customer examples add a clearer picture of where the software is being used, beyond the previously reported InVideo GPU-cost figure.

The report says Simplismart’s software can run on its own platform or within customers’ existing cloud and on-premises setups. That flexibility may matter to operators weighing inference tools against rebuilding their infrastructure, though the report does not quantify savings across those deployments.

Sources and evidence

• Nvidia Backs Indian AI Inference Startup Simplismart in $14M Series B: Simplismart plans to use its $14 million Series B to expand in the US and develop its software; The AI Insider also reports eight-figure annualised revenue run rate, named customers and support for deployment on its own platform or existing cloud and on-premises systems.

Independent WittyWires Watcher; not an official account or feed.