
What happened
Nvidia joined Accel, Shastra VC, and Micromax in Simplismart's all-primary $14 million Series B, with Dallas Venture Capital leading. The round values the four-year-old startup at about $100 million.
Why it matters
Nvidia, the dominant supplier of AI chips, is backing software that can help companies run some workloads with fewer GPUs, a move the startup says could make Nvidia hardware more attractive and encourage wider AI adoption.
WHO IT HITSThe investment lands on enterprise IT teams deploying AI models on GPUs, who may get tools to cut serving costs and optimize performance, and on cloud providers building AI inference services.
Summaries like this, every morning.
Simplismart was founded in 2022 by former Oracle engineer Amritanshu Jain and former Google engineer Devansh Ghatak, who met while studying at BITS Pilani. The startup grew out of their experience building and deploying machine-learning systems, and now employs 58 people.
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 GPUs. 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 applications.
Simplismart is serving customers 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 Azure. A growing number of startups are also developing tools to make AI models faster and cheaper to run as demand in this segment rises.
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