Build a new version of torch, torch-2.8 for CUDA, ROCm, and Gaudi. The CUDA work should
begin prior to ROCm or Gaudi. The CUDA work should be staged in a branch in the builder
repository for ROCm and Gaudi to consume. This way work can be done in parallel for all
three vendor variants.

We are initially targeting the versions listed here:

We will minimally aim for:

torch-2.8 [2]
ROCM_VERSION=6.3 or newer [2]
CUDA_VERSION=12.9 [3]
NVIDIA_DRIVER_VERSION=580 or newer [3]
NVIDIA_REQUIRE_CUDA=cuda==12.9 [3]
triton-3.3 [4]
vllm-version-unknown [5]

[1] https://en.wikipedia.org/wiki/CUDA#GPUs_supported
[2] https://pytorch.org/get-started/locally/
[3] https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#
[4] https://pytorch.org/blog/pytorch-2-7/
[5] https://github.com/vllm-project/vllm/blob/main/pyproject.toml (As of writing this torch-2.8 is not supported by vllm, https://github.com/vllm-project/vllm/pull/19507 would add it)

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