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Simplismart, a Bengaluru-based startup, has developed the fastest inference engine, achieving over 343 tokens per second with its software optimizations for Llama 3.1 8B. Unlike competitors focusing on hardware, Simplismart emphasizes software-level performance, providing a model-agnostic and cloud-agnostic solution. The platform supports various AI models and aims to give enterprises more control over their AI deployments.
The startup, founded by former Oracle and Google engineers, has secured $7 million in Series A funding to enhance its MLOps platform. Simplismart's approach contrasts with companies like TogetherAI and FireworksAI, which offer generic AI services through APIs. By allowing enterprises to manage AI models on-premises, Simplismart addresses data privacy concerns and offers a customizable solution.
• Simplismart's inference engine achieves 343 tokens per second, the fastest globally.
• The startup focuses on software optimizations rather than hardware competition.
The inference engine processes AI models to generate outputs quickly, as demonstrated by Simplismart's performance.
MLOps refers to the practices for managing machine learning models in production, which Simplismart's platform facilitates.
Model-agnostic solutions can work with various AI models, allowing flexibility in deployment and integration.
Simplismart specializes in high-performance AI deployment tools, focusing on software optimizations for inference speed.
TogetherAI provides generative AI services through APIs, which Simplismart critiques for lacking enterprise control.
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