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Simplismart Expands Optimised AI Inference Platform for Cloud Providers
Simplismart Expands Optimised AI Inference Platform for Cloud Providers
Cloudy with complexity

Simplismart Expands Optimised AI Inference Platform for Cloud Providers

It operates as an abstraction and orchestration layer on top of this infrastructure, helping customers manage the complexity of building, tuning, and optimising pipelines.

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Key takeaways

  • Simplismart expands its optimised AI inference platform for cloud providers to streamline AI deployment.
  • The platform simplifies building and tuning pipelines, reducing infrastructure complexity for enterprises.
  • Key features include endpoint optimisation, rapid scaling, and access to new open-source AI models.
  • Collaboration with NVIDIA enhances capabilities for deploying AI workloads on their infrastructure.
  • Demand for AI inference is rising as enterprises transition from pilots to production use cases.
5 min

Simplismart, an MLOps platform for deploying and scaling open-source AI models, is offering its optimised inference platform to select cloud providers and enterprise customers. The move is aimed at enabling production-scale AI outcomes without the overhead of infrastructure optimisation.

An early member of the NVIDIA Inception Program, Simplismart has collaborated with NVIDIA on multiple fronts, particularly around NVIDIA Inference Microservices (NIMs).

Cloud providers and enterprises typically deploy AI workloads on NVIDIA infrastructure by designing pipelines that account for workload boundary conditions. Simplismart operates as an abstraction and orchestration layer on top of this infrastructure, helping customers manage the complexity of building, tuning, and optimising pipelines based on performance, cost, and deployment constraints.

The platform strengthens inference capabilities through three key features. It helps maintain and optimise AI endpoints, enable rapid scaling and workflow templatisation, and provide immediate access to newly launched open-source AI models.

Amritanshu Jain, CEO and Co-founder of Simplismart, says, “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 and governance over their infrastructure, while the latter requires ROI at scale. One size does not fit all.”

Tobias Halloran, Director of EMEAI Startups and Venture Capital at NVIDIA, added that India’s AI startup ecosystem is primed for acceleration, driven by exceptional technical talent and global ambition. “NVIDIA is accelerating this momentum by giving founders direct access to accelerated computing, scalable AI infrastructure, and programmes like NVIDIA Inception and the NVIDIA Inception VC Alliance, helping startups scale faster and build for global markets,” he said.

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