Best AI Inference Platforms for Llama

Experience a robust, self-service machine learning platform that enables you to transform models into scalable APIs with just a few clicks. Create an account with Deep Infra through GitHub or log in using your GitHub credentials. Select from a vast array of popular ML models available at your fingertips. Access your model effortlessly via a straightforward REST API. Our serverless GPUs allow for quicker and more cost-effective production deployments than building your own infrastructure from scratch. We offer various pricing models tailored to the specific model utilized, with some language models available on a per-token basis. Most other models are charged based on the duration of inference execution, ensuring you only pay for what you consume. There are no long-term commitments or upfront fees, allowing for seamless scaling based on your evolving business requirements. All models leverage cutting-edge A100 GPUs, specifically optimized for high inference performance and minimal latency. Our system dynamically adjusts the model's capacity to meet your demands, ensuring optimal resource utilization at all times. This flexibility supports businesses in navigating their growth trajectories with ease.

Athina functions as a collaborative platform for AI development, empowering teams to efficiently create, test, and oversee their AI applications. It includes a variety of features such as prompt management, evaluation tools, dataset management, and observability, all aimed at facilitating the development of dependable AI systems. With the ability to integrate various models and services, including custom solutions, Athina also prioritizes data privacy through detailed access controls and options for self-hosted deployments. Moreover, the platform adheres to SOC-2 Type 2 compliance standards, ensuring a secure setting for AI development activities. Its intuitive interface enables seamless collaboration between both technical and non-technical team members, significantly speeding up the process of deploying AI capabilities. Ultimately, Athina stands out as a versatile solution that helps teams harness the full potential of artificial intelligence.

WebLLM serves as a robust inference engine for language models that operates directly in web browsers, utilizing WebGPU technology to provide hardware acceleration for efficient LLM tasks without needing server support. This platform is fully compatible with the OpenAI API, which allows for smooth incorporation of features such as JSON mode, function-calling capabilities, and streaming functionalities. With native support for a variety of models, including Llama, Phi, Gemma, RedPajama, Mistral, and Qwen, WebLLM proves to be adaptable for a wide range of artificial intelligence applications. Users can easily upload and implement custom models in MLC format, tailoring WebLLM to fit particular requirements and use cases. The integration process is made simple through package managers like NPM and Yarn or via CDN, and it is enhanced by a wealth of examples and a modular architecture that allows for seamless connections with user interface elements. Additionally, the platform's ability to support streaming chat completions facilitates immediate output generation, making it ideal for dynamic applications such as chatbots and virtual assistants, further enriching user interaction. This versatility opens up new possibilities for developers looking to enhance their web applications with advanced AI capabilities.

Kluster.ai is an AI cloud platform tailored for developers, enabling quick deployment, scaling, and fine-tuning of large language models (LLMs) with remarkable efficiency. Crafted by developers with a focus on developer needs, it features Adaptive Inference, a versatile service that dynamically adjusts to varying workload demands, guaranteeing optimal processing performance and reliable turnaround times. This Adaptive Inference service includes three unique processing modes: real-time inference for tasks requiring minimal latency, asynchronous inference for budget-friendly management of tasks with flexible timing, and batch inference for the streamlined processing of large volumes of data. It accommodates an array of innovative multimodal models for various applications such as chat, vision, and coding, featuring models like Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3. Additionally, Kluster.ai provides an OpenAI-compatible API, simplifying the integration of these advanced models into developers' applications, and thereby enhancing their overall capabilities. This platform ultimately empowers developers to harness the full potential of AI technologies in their projects.

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. At the heart of SambaNova innovation is the fourth generation SN40L Reconfigurable Dataflow Unit (RDU). Purpose built for AI workloads, the SN40L RDU takes advantage of a dataflow architecture and a three-tiered memory design. The dataflow architecture eliminates the challenges that GPUs have with high performance inference. The three tiers of memory enable the platform to run hundreds of models on a single node and to switch between them in microseconds. We give our customers the optionality to experience through the cloud or on-premise.

Undrstnd Developers enables both developers and businesses to create applications powered by AI using only four lines of code. Experience lightning-fast AI inference speeds that can reach up to 20 times quicker than GPT-4 and other top models. Our affordable AI solutions are crafted to be as much as 70 times less expensive than conventional providers such as OpenAI. With our straightforward data source feature, you can upload your datasets and train models in less than a minute. Select from a diverse range of open-source Large Language Models (LLMs) tailored to your unique requirements, all supported by robust and adaptable APIs. The platform presents various integration avenues, allowing developers to seamlessly embed our AI-driven solutions into their software, including RESTful APIs and SDKs for widely-used programming languages like Python, Java, and JavaScript. Whether you are developing a web application, a mobile app, or a device connected to the Internet of Things, our platform ensures you have the necessary tools and resources to integrate our AI solutions effortlessly. Moreover, our user-friendly interface simplifies the entire process, making AI accessibility easier than ever for everyone.

NVIDIA DGX Cloud Serverless Inference provides a cutting-edge, serverless AI inference framework designed to expedite AI advancements through automatic scaling, efficient GPU resource management, multi-cloud adaptability, and effortless scalability. This solution enables users to reduce instances to zero during idle times, thereby optimizing resource use and lowering expenses. Importantly, there are no additional charges incurred for cold-boot startup durations, as the system is engineered to keep these times to a minimum. The service is driven by NVIDIA Cloud Functions (NVCF), which includes extensive observability capabilities, allowing users to integrate their choice of monitoring tools, such as Splunk, for detailed visibility into their AI operations. Furthermore, NVCF supports versatile deployment methods for NIM microservices, granting the ability to utilize custom containers, models, and Helm charts, thus catering to diverse deployment preferences and enhancing user flexibility. This combination of features positions NVIDIA DGX Cloud Serverless Inference as a powerful tool for organizations seeking to optimize their AI inference processes.