AI infrastructure companies supply the services and computing resources used to run AI. Groq and SambaNova offer hosted inference, which means running models to produce answers. NVIDIA provides software for model deployment and AI development. Crusoe and CoreWeave provide cloud infrastructure for AI workloads.
These products sit at different levels. Calling a hosted model API is different from operating a model deployment or managing a training environment. Keep track of the model, endpoint, configuration, and evaluation results for a workload so a change of service can be checked against the same requirements.
Groq provides hosted inference APIs for language and other AI models. Its API is mostly compatible with OpenAI clients, and its Console includes a browser Playground for exploring models.
Source: Groq
SambaNova offers SambaCloud hosted inference and SambaStack deployments. SambaCloud provides an OpenAI-compatible API, while SambaStack users get their deployment endpoint and access details from an administrator.
Source: SambaNova Systems
NVIDIA's AI software covers model deployment, application development, data processing, and assistant infrastructure. NIM packages model inference as services, NeMo supplies tools for building and operating assistants, and the API Catalog provides model exploration and development endpoints.
Source: NVIDIA
Crusoe Cloud provides infrastructure and managed services for model training, fine-tuning, inference, and data processing. Its services include compute, storage, networking, managed scheduling, and hosted model deployments.
Source: Crusoe
CoreWeave is a cloud platform for AI and high-performance computing. Its services include managed clusters on GPU and CPU infrastructure, distributed-training scheduling, storage, inference, monitoring, and model development and evaluation tools.
Source: CoreWeave
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The group includes Groq, SambaNova Systems, NVIDIA, Crusoe, and CoreWeave. Their entries distinguish hosted model services, deployment and development software, and cloud computing infrastructure.
Inference runs a model to produce an answer or other output. Training and fine-tuning change a model using data. A service that offers hosted inference does not necessarily provide the same controls or environment as a training platform.
No. A compatible request format is only one part of a connection. The client still needs to support the endpoint, model, authentication, and features you want to use. Follow the current documentation for both the model service and the tool calling it.