Expand the accelerator metadata format

Currently `AcceleratorMetadata` (a typed dict) has the following fields:

```python
class AcceleratorMetadata(TypedDict):
slot_name: str
description: str
human_readable_name: str
display_unit: str
number_format: AcceleratorNumberFormat
display_icon: str
```

Let’s expand the metadata to provide additional information like:

- The supported floating point number formats and integer formats for matrix calculation (e.g., FP8, INT8, BF16, etc.) in a standardized way
- Vendor-specific versioning scheme\* e.g., NVIDIA: `cuda_compute_capability`, `host_cuda_driver_version`

This information could be used to choose the appropriate models and their runtimes in future model player implementations.

### Reference

#### Pytorch

- [https://github.com/pytorch/pytorch/blob/7101b8ca3574bd9d1997c3539bc0ad7a6df3ba6e/torch/cuda/__init__.py#L132](https://github.com/pytorch/pytorch/blob/7101b8ca3574bd9d1997c3539bc0ad7a6df3ba6e/torch/cuda/__init__.py#L132)\* Checks the CUDA version and the device’s compute capability version.
- ref) [https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#compute-capabilities](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#compute-capabilities)
- **7.0**: FP16, INT8 (Volta architecture)
- **8.0**: FP16, BF16, INT8, FP8, TF32 (Ampere architecture)
- **8.9**: (8.0) + FP8 (A100 only)
- **9.0**: FP8 (`E4M3` or `E5M2`) (Hopper architecture)

JIRA Issue: BA-423