SambaNova

SambaNova develops AI hardware like RDU chips and integrated software for running large-scale models with high speed and energy efficiency. These systems handle inference on massive models up to trillions of parameters, support quick model switching for agentic workflows, and work in data centers or cloud setups. The platform runs open-source models such as DeepSeek, Llama, and gpt-oss with OpenAI-compatible APIs, helping enterprises deploy AI without heavy power use.

fal

Fal.ai provides a serverless platform where developers run and scale AI models with low latency. The service handles GPU compute automatically, letting users focus on deploying vision, language, and multimodal models without managing infrastructure. Key features include real-time inference endpoints, custom model training, and integrations for web and mobile apps. It supports popular frameworks like PyTorch and TensorFlow, making it straightforward to go from prototype to production.

Baseten

Baseten provides infrastructure for developers to deploy and run AI models in real products without building their own serving stack. It lets teams serve large language models, image generation, and other custom models with low-latency, high-throughput inference and autoscaling. Developers use Baseten to move trained models into production quickly, monitor performance, and control costs across different clouds and regions.