Mac or Windows team: which open video models need Linux and CUDA?

HunyuanVideo and HunyuanVideo-1.5 list Linux; LTX-2.5's fastest decoder is Linux plus CUDA; H3 has a Mac route. What each page says and a hosted option.

5 min readSume
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Two of the four open video models name Linux outright: the HunyuanVideo README lists Linux as the tested operating system, and the HunyuanVideo-1.5 model card lists Linux as the operating system with CUDA. LTX-2.5's fastest VAE backend is Linux plus CUDA only, with a slower fallback on Windows and macOS. MiniMax H3's page lists Apple Silicon routes. Wan 2.2's README gives no operating-system line in the sections I read. Vendor pages read 2026-10-08.

What each page says

Short table of the operating-system statements, quoted or paraphrased from the vendor pages.

Operating-system statements on open video model pages, read 2026-10-08
ModelStatementSource page
HunyuanVideoTested operating system: Linux; NVIDIA GPU with CUDA requiredREADME system requirements
HunyuanVideo-1.5Operating system: Linux; Python 3.10 or higher; minimum 14 GB GPU memory with offloadingHugging Face model card
LTX-2.5natten extra is Linux + CUDA only; on Windows and macOS it is skipped and decoding falls back to Triton or eagerLTX-2 README quick start
MiniMax H3Apple Silicon works via MLX (128 GB unified memory recommended) or an NF4 route from 16 GB; Colab GPU runtimes workH3 FAQ
Wan 2.2No operating-system line found in the README sections read; commands use CUDA tools such as torchrunREADME

What this means for a laptop team

Linux and CUDA are a reasonable requirement for a render server and a poor one for a designer's MacBook. The practical split is: develop prompts anywhere, run models on a Linux GPU box. For H3, the vendor page names an Apple Silicon path but with large memory, which is a workstation purchase.

None of these pages promise parity between the Linux path and the fallback. The LTX README says only that the fallback exists and is slower than the natten backend.

A hosted job runs from any OS

A hosted job needs only an HTTPS client. Sume's video route is POST https://api.sume.com/v1/videos with a bearer key; the response gives a job id and a polling URL, and GET /v1/videos/{jobId} reports pending, in_progress, completed, failed or cancelled. A Mac, a Windows laptop and a Linux CI runner behave the same.

The cost is per second: $0.375 for five seconds at 768p on minimax-h3, or $0.625 on wan-3.0 at 720p (list x 1.25). Sume does not list HunyuanVideo or LTX.

Decision

Pick by where the work runs.

  • Own a Linux GPU box and want weights: Hunyuan, LTX or Wan 2.2 (mind each license).
  • Mac only: use a hosted id, or H3 with a large unified-memory Mac.
  • Windows laptop for design, Linux server for batches: hosted jobs keep the laptop out of the loop.

A note on the sources

These are statements on vendor pages as of 2026-10-08. A page that lists Linux as the tested system does not forbid other systems; it says what was tested. Community ports to Windows and macOS exist for several of these models, but this post cites only vendor pages, so it makes no claim about their quality.

Sources

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