Simplismart, a comprehensive MLOps platform for deploying and scaling open-source AI models, is making its optimised inference platform available to select cloud providers and enterprise customers. This enables organisations to focus on achieving production-scale AI results without the burden of managing complex infrastructure optimisation.
An early member of the NVIDIA Inception Program, Simplismart has worked closely with NVIDIA across multiple initiatives, particularly around NVIDIA Inference Microservices (NIMs).
Cloud providers and enterprises run AI workloads on NVIDIA-powered infrastructure by designing pipelines tailored to real-world operational requirements. Simplismart functions as an abstraction and orchestration layer over this NVIDIA AI stack, helping both cloud providers and end users manage the complexity of building, tuning, and optimising AI pipelines according to performance, cost, and deployment constraints. The company will continue strengthening its inference capabilities and regularly release optimised versions of the latest open-source models.
Cloud providers deliver hosted computing and specialised services to meet the needs of varied and high-demand workloads. Simplismart enhances these offerings by accelerating AI operationalisation through three core capabilities.
First, Simplismart maintains and optimises AI endpoints using NVIDIA NIM (Inference Microservices), which cloud providers can directly offer to AI application developers. These endpoints support high-volume use cases such as multimedia generation, voice-based agents, and document processing. This approach enables low-latency inference at global scale while ensuring governance, observability, and performance management across production environments.
Second, Simplismart supports rapid scaling and workflow templatisation for generative AI workloads across multiple deployment environments through a unified platform. Third, newly released and highly anticipated AI models can be made quickly available to cloud provider customers for testing and deployment. This ensures teams remain up to date with the fast-evolving AI model ecosystem while maintaining production-grade deployment standards.
Commenting on the development, Amritanshu Jain, CEO and Co-founder of Simplismart, said, “As enterprises move from pilot projects to full-scale production and Indian consumers increasingly use AI in daily applications, demand for AI inference is rising sharply. However, enterprise and consumer-scale deployments have very different requirements. Enterprises need strong control and governance over their infrastructure, while consumer-scale applications require returns at scale. A single approach does not work for all.
For instance, a bank using AI voice agents for millions of customers prioritises rapid response times, whereas the same institution deploying AI for document processing focuses on handling the maximum number of files at the lowest possible cost. Simplismart’s inference platform is built to help AI developers manage these differing priorities at scale, and we are committed to delivering this capability to cloud providers operating on NVIDIA infrastructure.”
Tobias Halloran, Director of EMEAI Startups and Venture Capital at NVIDIA, added, “India’s AI startup ecosystem is well positioned for rapid growth, driven by strong technical talent and global ambition. NVIDIA is supporting this progress by giving founders access to accelerated computing, scalable AI infrastructure, and initiatives such as NVIDIA Inception and the NVIDIA VC Alliance, helping startups scale faster and compete globally. We are pleased to work with companies like Simplismart as they lead the next phase of AI adoption.”
The Simplismart founding team is 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. During the event, the team will engage with developers and enterprises building next-generation AI applications.