[Docs] Add datatype × hardware support matrix

Is your feature request related to a problem? Please describe.

It's difficult to determine which datatypes and features are supported on which GPU architectures. Information is currently scattered across:
• High-level mentions in README (e.g., "FP8 on Hopper, Ada, and Blackwell")
• Inline code conditionals (e.g., get_device_compute_capability() >= (9, 0))
• Test skip conditions (e.g., pytest.skip("THD is only supported on Hopper+"))
• Error messages at runtime

Describe the solution you'd like

Add a clear Hardware Support Matrix page to the documentation with tables for "Datatype Support by Architecture" and "Feature Support by Architecture" (e.g. THD format).

Describe alternatives you've considered

Automatic capability detection at import - Could print a summary of available features, but doesn't address pre-deployment planning.

Additional context

Use the README, get_device_compute_capability() conditionals, pytest skip conditions, and runtime error messages named in the issue as source material; first locate these references and the documentation structure. Done means a Hardware Support Matrix page has separate datatype-by-architecture and feature-by-architecture tables, including examples such as THD.