Simplismart has raised $14 million in Series B funding, led by Dallas Venture Capital with NVIDIA among the investors. The capital will fund improvements to its platform, partnerships with cloud providers and growth in North America and other markets.
Simplismart’s funding round also included Accel, Shastra VC, Micromax and angel investors. The startup plans to develop a GPU scheduling layer that assigns AI workloads to spare computing capacity in different regions and time zones.
Founded in 2022 by Amritanshu Jain and Devansh Ghatak, Simplismart builds software between AI models and GPU infrastructure. Its inference engine lets businesses adjust model execution to their speed, cost and performance needs. Its orchestration platform handles deployment and scaling across cloud and on-premises infrastructure.
For businesses running AI applications, Simplismart offers shared endpoints billed by token consumption, dedicated endpoints and deployment on their own computing infrastructure. The latter serves customers with data and regulatory requirements, particularly in financial services. Cloud providers can also use its software to offer managed AI services under their own brands using existing GPUs, without Simplismart owning the infrastructure.
The funding commits capital to the software layer that helps businesses manage the cost and performance of running AI models.
Support for customer-owned infrastructure gives businesses with data and regulatory constraints another deployment option.
Cloud providers can build managed AI offerings around GPUs they already have rather than relying on Simplismart to supply computing infrastructure.
Written automatically by the Made in 10 Newsroom from the source above.
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