# Simplismart > Simplismart is an AI inference and MLOps platform for deploying, fine-tuning, and scaling open-weight generative AI models, including LLMs, vision-language models, speech models, and image and video models. Simplismart lets teams run models on shared (serverless) endpoints, on dedicated endpoints, or on their own cloud account or Kubernetes cluster (bring your own compute). The platform covers the full model lifecycle: deployment with autoscaling, model optimization and compilation, fine-tuning (SFT, DPO, and GRPO for LLMs and VLMs, plus Whisper and Flux training), performance and quality benchmarking, and observability with alerting and metrics export to Prometheus, Datadog, and New Relic. It can be used through a web dashboard, a REST API, a Python SDK, and a CLI. Simplismart offers India-hosted inference endpoints and publishes compliance information for SOC 2 Type II, ISO 27001, HIPAA, and GDPR. ## Product - [Homepage](https://simplismart.ai/): Overview of the Simplismart inference and MLOps platform. - [Product](https://simplismart.ai/product): Product features and capabilities. - [Platform](https://simplismart.ai/platform): Platform architecture and components. - [Pricing](https://simplismart.ai/pricing): Current pricing for inference and training. - [Contact](https://simplismart.ai/contact-us): Contact sales or support. ## Getting Started - [Documentation Overview](https://docs.simplismart.ai/overview): Introduction to the Simplismart documentation. - [Quickstart: Deploy](https://docs.simplismart.ai/quickstart/deploy): Deploy your first model. - [Quickstart: Inference](https://docs.simplismart.ai/quickstart/inference): Make your first inference call. - [Terminology Guide](https://docs.simplismart.ai/reference/terminology-guide): Definitions of key platform terms. - [Playground: LLMs](https://docs.simplismart.ai/get-started/playground/large-language-models): Try language models in the browser. - [Playground: Image Generation](https://docs.simplismart.ai/get-started/playground/image-generation-models): Try image generation models in the browser. - [Playground: Transcription](https://docs.simplismart.ai/get-started/playground/transcription-models): Try speech-to-text models in the browser. ## Inference and Deployment - [Shared Endpoints](https://docs.simplismart.ai/inference/shared-endpoint): Serverless, pay-per-use inference on shared infrastructure. - [Dedicated Endpoints](https://docs.simplismart.ai/inference/dedicated-endpoint): Private endpoints with reserved capacity. - [Bring Your Own Compute](https://docs.simplismart.ai/inference/bring-your-own-compute): Run Simplismart on your own cloud infrastructure. - [Creating a Deployment](https://docs.simplismart.ai/model-suite/deployments/creating-a-deployment): Configure and launch a model deployment. - [Deploy a Custom Model](https://docs.simplismart.ai/model-suite/deployments/deploy-a-custom-model): Deploy your own or fine-tuned models. - [Deploy a Container](https://docs.simplismart.ai/model-suite/deployments/deploy-container): Deploy models packaged as containers. - [Autoscaling](https://docs.simplismart.ai/model-suite/deployments/autoscaling): Configure autoscaling for deployments. - [Inference and Monitoring](https://docs.simplismart.ai/model-suite/deployments/inference-and-monitoring): Query and monitor running deployments. - [Optimise a Model](https://docs.simplismart.ai/model-suite/optimise-a-model): Optimize models for faster, cheaper inference. - [Optimization Guide](https://docs.simplismart.ai/guides/optimization-guide): Overview of available optimization strategies. - [Deployment Guides](https://docs.simplismart.ai/guides/deployment-guides): Guides for deploying different model types. - [Import a Kubernetes Cluster](https://docs.simplismart.ai/model-suite/clusters/import-cluster/import-kubernetes-cluster): Connect an existing Kubernetes cluster. - [Import an AWS Cluster](https://docs.simplismart.ai/model-suite/clusters/import-cluster/import-aws-cluster): Connect an AWS cluster. - [Cloud Account Integration](https://docs.simplismart.ai/model-suite/integrations/cloud-account): Connect a cloud provider account. ## Training and Fine-Tuning - [Training Suite Introduction](https://docs.simplismart.ai/training-suite/introduction): Overview of fine-tuning and training. - [Supported Training Models](https://docs.simplismart.ai/training-suite/supported-models): Models available for fine-tuning. - [LLM Supervised Fine-Tuning (SFT)](https://docs.simplismart.ai/training-suite/llms/sft-llm): Fine-tune LLMs on labeled data. - [LLM Direct Preference Optimization (DPO)](https://docs.simplismart.ai/training-suite/llms/dpo-llm): Align LLMs with preference data. - [LLM GRPO](https://docs.simplismart.ai/training-suite/llms/grpo-llm): Train LLMs with Group Relative Policy Optimization. - [VLM Supervised Fine-Tuning](https://docs.simplismart.ai/training-suite/vlms/sft-vlm): Fine-tune vision-language models. - [Whisper Fine-Tuning](https://docs.simplismart.ai/training-suite/whisper/creating-a-training-job): Fine-tune Whisper speech-to-text models. - [Flux Fine-Tuning](https://docs.simplismart.ai/training-suite/flux/initiate-a-new-training-job): Fine-tune Flux image-generation models. - [Dataset Preparation](https://docs.simplismart.ai/training-suite/custom-models/seq-dataset-prep): Format datasets for training. - [Deploy a Fine-Tuned Model](https://docs.simplismart.ai/training-suite/deploy-fine-tuned-model): Deploy a model after fine-tuning. ## SDK and API - [Python SDK](https://docs.simplismart.ai/sdk/python/overview): Manage deployments and models from Python. - [CLI](https://docs.simplismart.ai/sdk/cli/overview): Manage deployments and models from the command line. - [API Reference](https://docs.simplismart.ai/api-reference/introduction): Introduction to the REST API. - [API: Llama 4 Maverick 17B](https://docs.simplismart.ai/api-reference/inference/llama-4-maverick-17b): Inference API for Llama 4 Maverick. - [API: Llama 3.3 70B Instruct](https://docs.simplismart.ai/api-reference/inference/llama-3.3-70b-instruct): Inference API for Llama 3.3 70B. - [API: Gemma 3 27B](https://docs.simplismart.ai/api-reference/inference/gemma3-27B): Inference API for Gemma 3 27B. - [API: Qwen 32B](https://docs.simplismart.ai/api-reference/inference/qwen-32b): Inference API for Qwen 32B. - [API: Whisper V3](https://docs.simplismart.ai/api-reference/inference/whisper-v3): Speech-to-text inference API. - [API: Flux Dev](https://docs.simplismart.ai/api-reference/inference/flux-dev): Image generation inference API. - [API: Start an LLM/VLM Training Job](https://docs.simplismart.ai/api-reference/training/llm/start-a-new-llm-vlm-training-job): Start a training job via API. ## Observability and Benchmarking - [Alerting Overview](https://docs.simplismart.ai/observability/alerting/overview): Set up alerts for deployments. - [Metrics Export](https://docs.simplismart.ai/observability/export-metrics/overview): Export metrics to Prometheus, Datadog, or New Relic. - [Supported Metrics](https://docs.simplismart.ai/observability/export-metrics/supported-metrics): List of available metrics. - [Benchmarking Introduction](https://docs.simplismart.ai/benchmarking/introduction): Overview of benchmarking tools. - [Performance Benchmarking](https://docs.simplismart.ai/benchmarking/performance-benchmarking): Measure latency and throughput. - [Quality Benchmarking](https://docs.simplismart.ai/benchmarking/quality-benchmarking): Evaluate model output quality. ## Comparisons and Guides - [What Is an AI Inference Platform?](https://simplismart.ai/comparisons/what-is-an-ai-inference-platform-a-complete-guide-for-2026): Guide to AI inference platforms. - [What Is Serverless Inference?](https://simplismart.ai/comparisons/what-is-serverless-inference-a-technical-guide-for-ml-engineers): Technical guide to serverless inference. - [Top Open-Source LLMs to Deploy in 2026](https://simplismart.ai/comparisons/top-open-source-llms-to-deploy-in-2026): Roundup of open-weight LLMs for production. - [How to Reduce LLM Latency](https://simplismart.ai/comparisons/how-to-reduce-llm-latency-a-practical-optimisation-guide): Practical latency optimization guide. - [Simplismart vs Together AI](https://simplismart.ai/comparisons/simplismart-vs-together-ai-which-ai-inference-platform-is-better-for-production-ai-in-2026): Platform comparison. - [Simplismart vs Fireworks AI](https://simplismart.ai/comparisons/simplismart-vs-fireworks-ai-which-ai-inference-platform-wins): Platform comparison. - [Simplismart vs Baseten](https://simplismart.ai/comparisons/simplismart-vs-baseten-the-right-ai-inference-platform-for-production): Platform comparison. - [Simplismart vs Modal](https://simplismart.ai/comparisons/simplismart-vs-modal-2026-full-comparison-of-features-pricing-use-cases): Platform comparison. - [Simplismart vs Groq](https://simplismart.ai/comparisons/simplismart-vs-groq-inference-speed-cost-flexibility): Platform comparison. - [OpenRouter vs Simplismart](https://simplismart.ai/comparisons/openrouter-vs-simplismart-which-llm-infrastructure-fits-your-stage): Platform comparison. - [LLM Deployment in India: Serverless vs Dedicated](https://simplismart.ai/comparisons/llm-deployment-in-india-serverless-vs-dedicated-inference-math): Cost comparison for Indian teams. - [Data Residency for AI Inference in India](https://simplismart.ai/comparisons/why-data-residency-matters-for-ai-inference-in-india-rbi-sebi-and-dpdp-act-explained): RBI, SEBI, and DPDP Act requirements explained. ## Case Studies - [Case Studies](https://simplismart.ai/case-study): All customer stories. - [Dashverse](https://simplismart.ai/case-study/dashverse-unlocks-real-time-genai-comic-generation-with-40-faster-inference-and-47-lower-compute-costs): 40% faster inference and 47% lower compute costs for comic generation. - [Ema](https://simplismart.ai/case-study/from-10-seconds-to-1-how-ema-made-agentic-routing-feel-instant-with-simplismart): Agentic routing latency reduced from 10 seconds to 1. - [Lyric](https://simplismart.ai/case-study/how-lyric-unlocked-fast-reliable-time-series-inference-at-scale-handling-large-payloads-and-rapid-scale-to-zero-autoscaling): Time-series inference with scale-to-zero autoscaling. - [Physics Wallah](https://simplismart.ai/case-study/how-physics-wallah-delivers-on-time-transcription-for-massive-video-workloads-with-simplismart): Transcription for large video workloads. - [Sanas AI](https://simplismart.ai/case-study/how-sanas-ai-unlocked-real-time-voicebot-performance-with-near-zero-accuracy-loss-at-half-the-cost): Real-time voicebot performance at half the cost. - [InVideo](https://simplismart.ai/case-study/invideo-slashes-inference-costs-with-simplismart): Reduced inference costs. - [Tata 1mg](https://simplismart.ai/case-study/tata-1mg-unlocks-instant-prescription-processing-with-95-accuracy-and-faster-time-to-production): Prescription processing with 95% accuracy. ## Blog - [Blog](https://simplismart.ai/blog): All Simplismart articles. - [Introducing Simplismart](https://simplismart.ai/blog/introducing-the-fastest-mlops-platform-for-generative-ai-deployment): Platform launch announcement. - [Scaling GenAI in Under 60 Seconds](https://simplismart.ai/blog/scaling-genai-in-under-60-seconds-with-simplismarts-sla-backed-performance): SLA-backed autoscaling. - [Megakernel Inference](https://simplismart.ai/blog/megakernel-inference-unlocking-blazing-fast-responses-on-simplismart): Megakernel-based inference optimization. - [H200 for LLM Inference](https://simplismart.ai/blog/h200-for-llm-inference-what-we-learned-deploying-deepseek-at-scale): Lessons from deploying DeepSeek at scale. - [Real-Time Voice AI Under 400ms](https://simplismart.ai/blog/real-time-voice-ai-sub-400ms-latency): Low-latency voice AI pipelines. - [Fastest Whisper V3 Turbo Serving](https://simplismart.ai/blog/fastest-whisper-v3-turbo-serving-millions-of-requests-at-1300-real-time-with-simplismart): High-throughput speech-to-text serving. - [Beginner's Guide to LLM Quantization](https://simplismart.ai/blog/a-beginners-guide-to-quantization-for-large-language-models-llms): Quantization fundamentals. - [Deploy Llama 3.1 8B Using vLLM](https://simplismart.ai/blog/deploy-llama-3-1-8b-using-vllm): Deployment walkthrough. - [Simplismart SDK](https://simplismart.ai/blog/simplismart-sdk): Introduction to the SDK. ## Security and Legal - [SOC 2 Type II](https://simplismart.ai/comparisons/simplismart-soc-2-type-ii-compliance-what-it-means-for-a-secure-ai-inference-platform): SOC 2 Type II compliance. - [ISO 27001](https://simplismart.ai/comparisons/simplismart-iso-27001-certification-secure-ai-infrastructure-for-enterprise-ai): ISO 27001 certification. - [HIPAA](https://simplismart.ai/comparisons/simplismart-hipaa-compliance-secure-ai-inference-infrastructure-for-healthcare-ai): HIPAA compliance for healthcare AI. - [GDPR](https://simplismart.ai/comparisons/simplismart-gdpr-compliance-what-it-means-for-a-privacy-conscious-ai-inference-platform): GDPR compliance. - [Privacy Policy](https://simplismart.ai/privacy-policy): Data collection and privacy. - [Terms of Service](https://simplismart.ai/terms-of-service): Terms and conditions. - [AI Policy](https://simplismart.ai/ai-policy): AI usage policy. ## Optional - [Sign Up](https://docs.simplismart.ai/signup): Create a Simplismart account. - [Log In](https://app.simplismart.ai/login): Log in to the Simplismart dashboard.