Best AI Inference Platforms in India of 2026

Compare the Top AI Inference Platforms in India as of October 2026

Sort By:

AI Inference India Has API Live Online Clear Filters

What are AI Inference Platforms in India?

AI inference platforms enable the deployment, optimization, and real-time execution of machine learning models in production environments. These platforms streamline the process of converting trained models into actionable insights by providing scalable, low-latency inference services. They support multiple frameworks, hardware accelerators (like GPUs, TPUs, and specialized AI chips), and offer features such as batch processing and model versioning. Many platforms also prioritize cost-efficiency, energy savings, and simplified API integrations for seamless model deployment. By leveraging AI inference platforms, organizations can accelerate AI-driven decision-making in applications like computer vision, natural language processing, and predictive analytics. Compare and read user reviews of the best AI Inference platforms in India currently available using the table below. This list is updated regularly.

1

LM-Kit.NET

LM-Kit

LM-Kit.NET brings advanced AI to C# and VB.NET by letting you create and deploy context-aware agents that run small language models directly on edge devices, trimming latency, protecting data, and delivering real-time performance even in resource-constrained environments so both enterprise systems and rapid prototypes can ship faster, smarter, and more reliable applications.

29 Ratings

Starting Price: Free (Community) or $1000/year

View Platform
Visit Website
2

Telnyx

Telnyx

Telnyx is a global communications infrastructure platform that provides voice, messaging, networking, and AI-powered real-time communication capabilities through a fully owned telecom stack. The platform combines carrier-grade networking, programmable identity systems, AI inference, and low-latency communication infrastructure to support real-time conversational AI agents and enterprise communication workflows. Telnyx owns and operates its entire network stack, including physical infrastructure, mobile core systems, edge processing, and AI compute layers, enabling faster performance and lower latency without relying on third-party telecom providers. The platform offers tools such as voice agent builders, speech-to-text, text-to-speech, global phone numbers, AI orchestration, and programmable compliance controls for building intelligent voice and messaging systems.

8 Ratings

View Platform
3

Clarifai

Clarifai

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for developing better, faster and stronger AI. We help our customers create innovative solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. The platform comes with the broadest repository of pre-trained, out-of-the-box AI models built with millions of inputs and context. Our models give you a head start; extending your own custom AI models. Clarifai Community builds upon this and offers 1000s of pre-trained models and workflows from Clarifai and other leading AI builders. Users can build and share models with other community members. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been recognized by leading analysts, IDC, Forrester and Gartner, as a leading computer vision AI platform. Visit clarifai.com

Starting Price: $0

View Platform
4

GMI Cloud

GMI Cloud

GMI Cloud provides a complete platform for building scalable AI solutions with enterprise-grade GPU access and rapid model deployment. Its Inference Engine offers ultra-low-latency performance optimized for real-time AI predictions across a wide range of applications. Developers can deploy models in minutes without relying on DevOps, reducing friction in the development lifecycle. The platform also includes a Cluster Engine for streamlined container management, virtualization, and GPU orchestration. Users can access high-performance GPUs, InfiniBand networking, and secure, globally scalable infrastructure. Paired with popular open-source models like DeepSeek R1 and Llama 3.3, GMI Cloud delivers a powerful foundation for training, inference, and production AI workloads.

Starting Price: $2.50 per hour

View Platform
5

Athina AI

Athina AI

Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.

Starting Price: Free

View Platform
6

Inferable

Inferable

Create your first AI automation in 60 seconds. Inferable seamlessly integrates with your existing codebase and infrastructure, allowing you to create powerful AI automation without compromising on control or security. Works with your existing codebase. Integrates with your existing services via opt-in. Enforce determinism through source code. Create and manage automation programmatically. You own the computer, in your own infrastructure. Inferable comes out of the box with delightful DX to kickstart your AI automation journey. We bring the best in class vertically integrated LLM orchestration. You bring your product and domain expertise. At the core of Inferable is a distributed message queue that ensures your AI automation is scalable and reliable. It makes sure your automations are executed correctly, and that failures are handled gracefully. Decorate your existing functions, REST APIs, and GraphQL endpoints with decorators to require human approval.

Starting Price: $0.006 per KB

View Platform
7

LangDB

LangDB

LangDB offers a community-driven, open-access repository focused on natural language processing tasks and datasets for multiple languages. It serves as a central resource for tracking benchmarks, sharing tools, and supporting the development of multilingual AI models with an emphasis on openness and cross-linguistic representation.

Starting Price: $49 per month

View Platform
8

SiliconFlow

SiliconFlow

SiliconFlow is a high-performance, developer-focused AI infrastructure platform offering a unified and scalable solution for running, fine-tuning, and deploying both language and multimodal models. It provides fast, reliable inference across open source and commercial models, thanks to blazing speed, low latency, and high throughput, with flexible options such as serverless endpoints, dedicated compute, or private cloud deployments. Platform capabilities include one-stop inference, fine-tuning pipelines, and reserved GPU access, all delivered via an OpenAI-compatible API and complete with built-in observability, monitoring, and cost-efficient smart scaling. For diffusion-based tasks, SiliconFlow offers the open source OneDiff acceleration library, while its BizyAir runtime supports scalable multimodal workloads. Designed for enterprise-grade stability, it includes features like BYOC (Bring Your Own Cloud), robust security, and real-time metrics.

Starting Price: $0.04 per image

View Platform
9

LEAP

Liquid AI

The LEAP Edge AI Platform offers a full-stack on-device AI toolchain that enables developers to build edge AI applications, from model selection through inference, entirely on device. It includes a best-model search engine to find the most appropriate model for a given task and device constraint, a curated library of pre-trained model bundles ready for download, and fine-tuning tools (such as GPU-optimized scripts) for customizing models like LFM2 to specific use cases. It supports vision-enabled capabilities across iOS, Android, and laptop devices, and includes function-calling so AI models can interact with external systems via structured outputs. For deployment, LEAP provides an Edge SDK that lets developers load and query models locally, just like a cloud API, but entirely offline, and a model bundling service to package any supported model or checkpoint into a bundle optimized for edge deployment.

Starting Price: Free

View Platform
10

Photon

Moondream

Photon is Moondream’s official high-performance inference engine, designed to run vision-language models efficiently across cloud, desktop, and edge environments while delivering real-time performance for production AI systems. It is built as a custom inference layer tightly integrated with the Moondream model architecture, using optimized scheduling, native image processing, and purpose-built CUDA kernels to maximize speed and efficiency. This co-designed approach allows Photon to significantly reduce latency compared to traditional VLM setups, enabling responsive interactions on edge devices and real-time throughput on server-grade hardware. It supports deployment across a wide range of NVIDIA GPUs, from embedded systems like Jetson devices to high-end multi-GPU servers, making it adaptable for diverse operational needs. It includes production-ready features such as automatic batching, prefix caching, and memory-efficient attention mechanisms.

Starting Price: $300 per month

View Platform
11

Canopy Wave

Canopy Wave

Canopy Wave is the best inference platform for open models, built to deliver high-quality, reliable, and secure AI services from infrastructure to build, tune, and scale AI models. Its model platform gives users instant access to advanced open source models optimized for quality, speed, and security through API, with a model library covering different types and fields, so users can call models directly without additional development or adaptation. Canopy Wave’s serverless inference service lets teams run pretrained models through simple API calls without managing infrastructure, with fast response, low latency, no cold start issues, and globally optimized performance powered by next-generation GPUs and edge caching. For production workloads that need stronger control, dedicated endpoints run inference at scale with exceptional speed and reliability on hardware instances dedicated exclusively to the user.

Starting Price: $0.07 per GB per month

View Platform
12

Substrate

Substrate

Substrate is the platform for agentic AI. Elegant abstractions and high-performance components, optimized models, vector database, code interpreter, and model router. Substrate is the only compute engine designed to run multi-step AI workloads. Describe your task by connecting components and let Substrate run it as fast as possible. We analyze your workload as a directed acyclic graph and optimize the graph, for example, merging nodes that can be run in a batch. The Substrate inference engine automatically schedules your workflow graph with optimized parallelism, reducing the complexity of chaining multiple inference APIs. No more async programming, just connect nodes and let Substrate parallelize your workload. Our infrastructure guarantees your entire workload runs in the same cluster, often on the same machine. You won’t spend fractions of a second per task on unnecessary data roundtrips and cross-region HTTP transport.

Starting Price: $30 per month

View Platform
13

NVIDIA NIM

NVIDIA

Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes.

View Platform
14

Synexa

Synexa

Synexa AI enables users to deploy AI models with a single line of code, offering a simple, fast, and stable solution. It supports various functionalities, including image and video generation, image restoration, image captioning, model fine-tuning, and speech generation. Synexa provides access to over 100 production-ready AI models, such as FLUX Pro, Ideogram v2, and Hunyuan Video, with new models added weekly and zero setup required. Synexa's optimized inference engine delivers up to 4x faster performance on diffusion models, achieving sub-second generation times with FLUX and other popular models. Developers can integrate AI capabilities in minutes using intuitive SDKs and comprehensive API documentation, with support for Python, JavaScript, and REST API. Synexa offers enterprise-grade GPU infrastructure with A100s and H100s across three continents, ensuring sub-100ms latency with smart routing and a 99.9% uptime guarantee.

Starting Price: $0.0125 per image

View Platform
15

Alibaba Cloud Model Studio

Alibaba

Model Studio is Alibaba Cloud’s one-stop generative AI platform that lets developers build intelligent, business-aware applications using industry-leading foundation models like Qwen-Max, Qwen-Plus, Qwen-Turbo, the Qwen-2/3 series, visual-language models (Qwen-VL/Omni), and the video-focused Wan series. Users can access these powerful GenAI models through familiar OpenAI-compatible APIs or purpose-built SDKs, no infrastructure setup required. It supports a full development workflow, experiment with models in the playground, perform real-time and batch inferences, fine-tune with tools like SFT or LoRA, then evaluate, compress, accelerate deployment, and monitor performance, all within an isolated Virtual Private Cloud (VPC) for enterprise-grade security. Customization is simplified via one-click Retrieval-Augmented Generation (RAG), enabling integration of business data into model outputs. Visual, template-driven interfaces facilitate prompt engineering and application design.

View Platform
16

Tinfoil

Tinfoil

Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models.

View Platform
17

SambaNova

SambaNova Systems

SambaNova is the leading purpose-built AI system for generative and agentic AI implementations, from chips to models, that gives enterprises full control over their model and private data. We take the best models, optimize them for fast tokens and higher batch sizes, the largest inputs and enable customizations to deliver value with simplicity. The full suite includes the SambaNova DataScale system, the SambaStudio software, and the innovative SambaNova Composition of Experts (CoE) model architecture. These components combine into a powerful platform that delivers unparalleled performance, ease of use, accuracy, data privacy, and the ability to power every use case across the world's largest organizations. We give our customers the optionality to experience through the cloud or on-premise.

View Platform
18

Xilinx

Xilinx

The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.

View Platform
19

Striveworks Chariot

Striveworks

Make AI a trusted part of your business. Build better, deploy faster, and audit easily with the flexibility of a cloud-native platform and the power to deploy anywhere. Easily import models and search cataloged models from across your organization. Save time by annotating data rapidly with model-in-the-loop hinting. Understand the full provenance of your data, models, workflows, and inferences. Deploy models where you need them, including for edge and IoT use cases. Getting valuable insights from your data is not just for data scientists. With Chariot’s low-code interface, meaningful collaboration can take place across teams. Train models rapidly using your organization's production data. Deploy models with one click and monitor models in production at scale.

View Platform
20

Undrstnd

Undrstnd

Undrstnd Developers empowers developers and businesses to build AI-powered applications with just four lines of code. Experience incredibly fast AI inference times, up to 20 times faster than GPT-4 and other leading models. Our cost-effective AI services are designed to be up to 70 times cheaper than traditional providers like OpenAI. Upload your own datasets and train models in under a minute with our easy-to-use data source feature. Choose from a variety of open source Large Language Models (LLMs) to fit your specific needs, all backed by powerful, flexible APIs. Our platform offers a range of integration options to make it easy for developers to incorporate our AI-powered solutions into their applications, including RESTful APIs and SDKs for popular programming languages like Python, Java, and JavaScript. Whether you're building a web application, a mobile app, or an IoT device, our platform provides the tools and resources you need to integrate our AI-powered solutions seamlessly.

View Platform
21

TensorWave

TensorWave

TensorWave is an AI and high-performance computing (HPC) cloud platform purpose-built for performance, powered exclusively by AMD Instinct Series GPUs. It delivers high-bandwidth, memory-optimized infrastructure that scales with your most demanding models, training, or inference. TensorWave offers access to AMD’s top-tier GPUs within seconds, including the MI300X and MI325X accelerators, which feature industry-leading memory capacity and bandwidth, with up to 256GB of HBM3E supporting 6.0TB/s. TensorWave's architecture includes UEC-ready capabilities that optimize the next generation of Ethernet for AI and HPC networking, and direct liquid cooling that delivers exceptional total cost of ownership with up to 51% data center energy cost savings. TensorWave provides high-speed network storage, ensuring game-changing performance, security, and scalability for AI pipelines. It offers plug-and-play compatibility with a wide range of tools and platforms, supporting models, libraries, etc.

View Platform
22

NVIDIA DGX Cloud Serverless Inference

NVIDIA

NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs. There's no extra cost for cold-boot start times, and the system is optimized to minimize them. NVIDIA DGX Cloud Serverless Inference is powered by NVIDIA Cloud Functions (NVCF), which offers robust observability features. It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. NVCF offers flexible deployment options for NIM microservices while allowing you to bring your own containers, models, and Helm charts.

View Platform
23

Qualcomm AI Inference Suite

Qualcomm

The Qualcomm AI Inference Suite is a comprehensive software platform designed to streamline the deployment of AI models and applications across cloud and on-premises environments. It offers seamless one-click deployment, allowing users to easily integrate their own models, including generative AI, computer vision, and natural language processing, and build custom applications using common frameworks. The suite supports a wide range of AI use cases such as chatbots, AI agents, retrieval-augmented generation (RAG), summarization, image generation, real-time translation, transcription, and code development. Powered by Qualcomm Cloud AI accelerators, it ensures top performance and cost efficiency through embedded optimization techniques and state-of-the-art models. It is designed with high availability and strict data privacy in mind, ensuring that model inputs and outputs are not stored, thus providing enterprise-grade security.

View Platform
24

Qualcomm Cloud AI SDK

Qualcomm

The Qualcomm Cloud AI SDK is a comprehensive software suite designed to optimize trained deep learning models for high-performance inference on Qualcomm Cloud AI 100 accelerators. It supports a wide range of AI frameworks, including TensorFlow, PyTorch, and ONNX, enabling developers to compile, optimize, and execute models efficiently. The SDK provides tools for model onboarding, tuning, and deployment, facilitating end-to-end workflows from model preparation to production deployment. Additionally, it offers resources such as model recipes, tutorials, and code samples to assist developers in accelerating AI development. It ensures seamless integration with existing systems, allowing for scalable and efficient AI inference in cloud environments. By leveraging the Cloud AI SDK, developers can achieve enhanced performance and efficiency in their AI applications.

View Platform
25

Tensormesh

Tensormesh

Tensormesh is a caching layer built specifically for large-language-model inference workloads that enables organizations to reuse intermediate computations, drastically reduce GPU usage, and accelerate time-to-first-token and latency. It works by capturing and reusing key-value cache states that are normally thrown away after each inference, thereby cutting redundant compute and delivering “up to 10x faster inference” while substantially lowering GPU load. It supports deployments in public cloud or on-premises, with full observability and enterprise-grade control, SDKs/APIs, and dashboards for integration into existing inference pipelines, and compatibility with inference engines such as vLLM out of the box. Tensormesh emphasizes performance at scale, including sub-millisecond repeated queries, while optimizing every layer of inference from caching through computation.

View Platform
26

Luminal

Luminal

Luminal is a machine-learning framework built for speed, simplicity, and composability, focusing on static graphs and compiler-based optimization to deliver high performance even for complex neural networks. It compiles models into minimal “primops” (only 12 primitive operations) and then applies compiler passes to replace those with device-specific optimized kernels, enabling efficient execution on GPU or other backends. It supports modules (building blocks of networks with a standard forward API) and the GraphTensor interface (typed tensors and graphs at compile time) for model definition and execution. Luminal’s core remains intentionally small and hackable, with extensibility via external compilers for datatypes, devices, training, quantization, and more. Quick-start guidance shows how to clone the repo, build a “Hello World” example, or run a larger model like LLaMA 3 using GPU features.

View Platform
27

PromptUnit

PromptUnit

PromptUnit is an AI inference proxy that reduces AI costs automatically by sitting between an app and its AI providers with no code changes required. Teams swap the base URL, keep the same SDK, endpoints, response parsing, and error handling, then PromptUnit handles routing, failover, cost tracking, and quality validation. It logs every API call by model, feature, user segment, token count, latency, and cost, giving real-time visibility into where AI spend is going before any routing changes go live. In observation mode, PromptUnit watches traffic, shadow-classifies requests, forecasts savings, and explains routing decisions so teams can see exact savings before enabling live routing. Once enabled, Smart Routing uses task classification to route each request to the cheapest model that clears the configured quality bar. PromptUnit also includes prompt compression, token inflation defense, prompt efficiency scoring, semantic request caching, and multi-model consensus.

View Platform