Simplismart, the comprehensive MLOps platform for deploying and scaling open-source AI models is offering its optimised inference platform for select cloud providers & enterprise customers, empowering them to focus on production-scale AI outcomes rather than infrastructure optimization overheads. An NVIDIA Inception Program member in its early days, Simplismart has been collaborating with NVIDIA on various fronts, especially NVIDIA Inference Microservices (NIMs).
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 optimizing these pipelines based on their specific performance, cost, and other deployment constraints. Simplismart will strengthen these inference capabilities on a continued basis, and keep releasing optimised versions of the latest open-source models.
Cloud providers offer their enterprise customers hosted computing and purpose-built services to handle diverse workloads and demanding applications. Simplismart gives a multi-fold boost to such cloud offerings by enabling faster AI operationalization 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 for powering high-volume Al use cases like multimedia generation, voice agents, document parsers, and more. This unlocks low-latency inference at global scale, while helping teams maintain governance, observability, and performance control across production environments.
Secondly, Simplismart enables rapid scaling and workflow templatization capabilities across generative Al workloads and diverse deployment environments within a unified platform. Lastly, as soon as they launch, popular and highly anticipated AI models can become available to customers of cloud providers for testing and deployment. This helps teams stay current with the rapidly evolving AI model ecosystem while maintaining production-grade deployment 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.”
Simplismart founding team is showcasing the platform’s AI Cloud capabilities at its India AI Impact Summit 2026 Booth in New Delhi from February 16th to 20th, and will also be presenting at the NVIDIA AI Innovation Pavilion. They will engage with developers and enterprises building next-generation AI applications.
