Mumbai: Simplismart, the comprehensive MLOps platform for deploying and scaling open-source AI models, is offering its optimised inference platform to select cloud providers and enterprise customers, enabling them to focus on production-scale AI outcomes rather than infrastructure optimisation overheads.
An early member of the NVIDIA Inception Program, Simplismart has been collaborating closely with NVIDIA, particularly around NVIDIA Inference Microservices (NIMs), to strengthen AI inference capabilities on NVIDIA infrastructure.
Cloud computing providers and enterprise customers deploy and run AI workloads on NVIDIA infrastructure by designing pipelines around real-world workload boundary conditions. Simplismart operates as an abstraction and orchestration layer on top of this NVIDIA AI infrastructure, helping cloud providers and end-customers manage the complexity of building, tuning and optimising these pipelines based on specific performance, cost and deployment constraints. The company said it will continue strengthening these inference capabilities and release optimised versions of the latest open-source models on an ongoing basis.
Cloud providers offer hosted computing and purpose-built services to support diverse workloads and demanding applications. Simplismart aims to significantly enhance these offerings by enabling faster AI operationalisation through three key capabilities.
Firstly, Simplismart maintains and optimises AI endpoints with NVIDIA NIM (Inference Microservices), which can be directly offered by cloud providers to AI application builders powering high-volume AI use cases such as multimedia generation, voice agents and document parsing. This enables low-latency inference at global scale while maintaining governance, observability and performance control across production environments.
Secondly, the platform enables rapid scaling and workflow templatization across generative AI workloads and diverse deployment environments within a unified system. Lastly, as soon as popular and highly anticipated AI models are launched, they can be made available to cloud provider customers for testing and deployment, helping enterprises stay current with the rapidly evolving AI ecosystem while maintaining production-grade standards.
“As enterprises move from AI pilots to production, and Indian consumers adopt AI for a variety of daily use cases, we are seeing a significant rise in demand for AI inference. But at scale, both of them are two very different beasts. The former requires control & governance over their infrastructure, while the latter requires ROI at scale. One size does not fit all.
For example, a bank serving millions of daily customers using AI voice agents will be focused on quick response times. While the same bank, when building a document parsing AI workflow, will focus on processing the maximum number of documents at minimum cost. Simplismart’s inference platform is designed to help AI builders navigate these complexities at scale, and we are committed to bringing this game-changing proposition to cloud providers offering NVIDIA infrastructure.”, said Amritanshu Jain, CEO & Co-founder at Simplismart.
“India’s AI startup ecosystem is primed for acceleration, driven by exceptional technical talent and global ambition,” said Tobias Halloran, Director of EMEAI Startups and Venture Capital at NVIDIA. “NVIDIA is accelerating this momentum by giving founders direct access to accelerated computing, scalable AI infrastructure, and programs like NVIDIA Inception and the NVIDIA VC Alliance – helping startups scale faster and build for global markets. We are excited to work with teams like Simplismart to drive this next phase of AI adoption.”
The Simplismart founding team is currently showcasing the platform’s AI Cloud capabilities at the India AI Impact Summit 2026 in New Delhi from February 16 to 20 and will also present at the NVIDIA AI Innovation Pavilion, engaging with developers and enterprises building next-generation AI applications.
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