Key components include an inference server optimized for vLLM and llm-d for distributed inference, plus integrations with enterprise Linux and container platforms to ensure consistent runtime, security, and lifecycle management.
The platform exposes a unified API layer (Llama Stack) and supports Model Context Protocol (MCP) to connect models, data, and workflows; it also offers validated third-party models, partner integrations, consulting, and training to accelerate production adoption.
You can learn more about pricing for Red Hat at its pricing page.
Red Hat can be categorized under Ai Development Platformss, which is commonly listed under AI Platforms tools.
Not all similar tools offer the same features. Most include a free plan or trial, so you should be able to give them a try. You can browse some of the alternatives to Red Hat listed in the directory.
Some tools might also offer discounts or offers, especially for newer members. Most of these offers traditionally come as part of affiliate programs or promotions, but often you can reach out to companies and check whether they can give you special pricing.
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