Compare 12 options for tasks you use SambaNova for. Their feature coverage differs; check the summaries and plan details. Cloud and on-prem AI inference platform for fast LLM serving
| Tool | Pricing | Score | API | Ongoing free tier | Self-hosting |
|---|---|---|---|---|---|
| SambaNovathis one Cloud and on-prem AI inference platform for fast LLM serving | Freemium | 56 | Yes | Yes | Yes |
| Sagify ML workflows simplified — train and deploy on AWS without DevOps overhead | Free | 1 | Yes | Yes | Yes |
| Shumai Fast, differentiable tensors for JavaScript ML | Free | 1 | Yes | Yes | Yes |
| Neon AI Build and deploy private AI systems for your enterprise | Contact | 1 | Yes | Unknown | Yes |
| Baseten Deploy and scale AI models in production with optimized inference | Freemium | 49 | Yes | Unknown | No |
| Vicena AI-powered workspace for scientific research and protocol development | Freemium | 1 | Yes | Unknown | Unknown |
| AI21 Labs Enterprise LLM platform with agent optimization | Contact | 42 | Yes | Yes | Yes |
| Nous Research Open source AI models and autonomous agent infrastructure | Freemium | 82 | Yes | Yes | Yes |
| Cerebras Ultra-fast AI inference and training on specialized hardware | Contact | 79 | Yes | No | Yes |
| Vicuna Open-source chatbot rivaling ChatGPT quality | Free | 0 | Yes | Yes | Yes |
| Anyscale Distributed computing platform for scaling AI workloads | Freemium | 77 | Yes | Yes | Yes |
| Pulumi Neo Natural language AI for cloud infrastructure automation | Freemium | 9 | Yes | Yes | No |
| Eventual AI GPU-ready data infrastructure for AI and robotics teams | Contact | 2 | Yes | Yes | Yes |
Sagify is an open-source framework that abstracts AWS SageMaker complexity for machine learning engineers. It automates infrastructure setup, model training, and deployment while providing unified access to multiple LLM providers. Built for teams that want to ship ML models faster without managing cloud resources.
Shumai brings machine learning computation directly to JavaScript and TypeScript environments through a high-performance tensor library. It combines automatic differentiation, GPU acceleration via ArrayFire, and network-aware operations for neural network development in web and Node.js applications. Built by Facebook Research for developers who want to integrate ML workflows without leaving the JavaScript ecosystem.
Neon AI enables organizations to create custom, secure AI solutions that remain fully under their control—no recurring token fees or vendor lock-in. The platform combines conversational AI experts (CCAI), internal knowledge networks (BrainForge), and custom AI personas for deployment across web, video, and support channels. Designed for enterprises that require data privacy, auditability, and independence from public LLM providers.
Baseten is a cloud platform that handles the infrastructure and compute needed to run machine learning models at production scale. Deploy custom models, access frontier model APIs, or scale existing inference workloads without managing the underlying infrastructure. Built for startups and enterprises that need fast, reliable AI model serving.
Vicena is an AI platform designed for scientists and researchers to streamline their workflows. It integrates multiple AI models (GPT, Claude, Gemini, and others) into a unified environment where users can search literature across PubMed and arXiv, develop experimental protocols with safety checks, run computational simulations, and manage their research projects. The platform includes chemistry tools for compound analysis and molecular property calculations, making it ideal for lab scientists, engineers, and academic researchers.
AI21 Labs provides language models and orchestration tools purpose-built for long-context processing and AI agents. The platform includes Maestro, an optimization framework that routes requests across models intelligently, and Jamba, efficient LLMs designed for extended context windows. Built for teams handling complex, real-world AI workflows that demand cost-effectiveness and reliability.
Nous Research creates open source language models and agent frameworks for developers. The Hermes model family provides production-grade inference via Nous Portal API with flexible free and paid tiers. Hermes Agent is a self-improving autonomous agent framework with persistent memory, runnable on any infrastructure from a single VPS to GPU clusters.
Cerebras provides cloud and on-premise AI infrastructure built on custom wafer-scale processors designed for extreme speed and efficiency. The platform delivers 15x faster inference and lower latency than traditional GPU solutions, making it ideal for real-time AI agents and complex reasoning tasks. It supports all major frontier models with OpenAI API compatibility for seamless integration.
Vicuna is a free, open-source conversational AI model developed by LMSYS, fine-tuned on 125K shared conversations to achieve competitive performance with commercial chatbots. It runs efficiently on consumer hardware including GPUs, CPUs, and Mac computers, making advanced AI accessible to researchers and developers. Available in multiple sizes from 7B to 33B parameters with extended context support.
Anyscale is a managed platform built on Ray that enables teams to train, fine-tune, and deploy large language models at scale. It handles distributed data processing, model training across GPU clusters, and production inference workloads. Foundation model builders use it to orchestrate complex ML pipelines across multiple cloud providers.
Pulumi Neo is an AI agent that automates cloud infrastructure provisioning and management through natural language commands. It handles multi-cloud deployments across AWS, Azure, Google Cloud and others while enforcing policies and optimizing costs. Designed for enterprise teams that need to reduce provisioning time and maintain security standards automatically.
Eventual provides data infrastructure optimized for AI workloads and physical AI systems. Daft, their open-source data engine, runs at petabyte scale with GPU acceleration for video, sensor data, and unstructured logs—currently deployed at Amazon, Mobileye, and Together AI. MultiBase enables teams to query fleet data using natural language, indexing perception semantically without requiring custom formats.