Simplismart

Perform in-depth, customizable evaluations of LLM outputs using custom datasets and a range of evaluator types including programmatic, human, and AI-based.

The platform deploys, manages, and scales LLM workloads on cloud, Kubernetes, or on-premises infrastructure.

Simplismart’s multi-cloud platform deploys open-source AI models across AWS, Azure, GCP, or custom infrastructure.

Simplismart launches an advanced AI inference platform on NVIDIA infrastructure, helping cloud providers deploy scalable, high-performance AI workloads.

The page offers technical insights, guides, and updates on deploying GenAI models with Simplismart.

Explore Simplismart case studies to see how enterprises reduced AI inference costs, improved latency, and scaled GenAI workloads with proven results.

Simplismart optimizes LLM inference using batching, quantization, speculative decoding, model parallelism, and Flash Attention.

Explore Simplismart pricing for AI inference, model APIs, dedicated GPU deployments, and BYOC. Scale LLMs with flexible, usage-based pricing.

The Billing section shows how organizations are charged for platform usage, including credits, invoices, and account balance.

The page discusses why Indian AI teams may shift workloads from US-hosted Claude APIs to India-based shared inference in 2026, citing costs and data rules.

The page describes Simplismart’s AI inference, model serving, GPU deployments, BYOC, and enterprise AI infrastructure solutions.

Simplismart’s inference engine fine-tunes and deploys LLMs with AWS, Azure, GCP, and other cloud providers.

Simplismart explains how it collects, stores, and safeguards personal information, manages cookies, and protects privacy.

Simplismart’s AI Policy covers responsible AI use, acceptable use, human oversight, compliance, and governance.

Simplismart’s Terms and Conditions outline policies for using its AI platform, model APIs, and cloud services.

Simplismart secures **$14 million in Series B funding** led by Dallas Venture Capital. The capital will accelerate development of its AI inference platform, deepen cloud partnerships, and drive expansion into North America and global markets.

Oct 2026business-standard.comNews article

Simplismart secures $14 million in Series B funding to develop AI inference infrastructure, converting AI models and GPU capacity into deployable business services. The round is led by Dallas Venture Capital. The company focuses on bridging the gap between AI research and real-world applications by optimizing GPU resources for enterprise use.

Oct 2026AiThorityNews article

Simplismart secures $14 million in Series B funding to enhance GPU utilization. The Bengaluru-based startup partners with Nvidia, Accel, Shastra VC, and Micromax in the round. The company leverages GPU technology to improve computational efficiency for enterprise applications.

Oct 2026dealroom.coNews article

Simplismart, an Indian AI inference software startup, secures **$14 million in Series B funding** from Nvidia, Accel, Shastra VC, Micromax, and Dallas Venture Capital, valuing the company at **$100 million**. The Bengaluru-based firm automates AI model deployment to optimize GPU usage, reducing costs for customers like **InVideo (56% GPU cost savings)** and **HeyGen**. Founded in 2022 by ex-Oracle and Google engineers, Simplismart targets enterprises with strict performance and cost constraints, competing with Nvidia, AWS, and cloud providers. The funding will fuel U.S. expansion and team growth, despite half its revenue already coming from the region.

Oct 2026TechCrunchNews article