aiter: Accelerate AI Model Performance on ROCm with Python
From the repo · “AI Tensor Engine for ROCm”
Aiter accelerates AI computations by providing a tensor engine optimized for the ROCm platform, allowing founders to run AI workloads on AMD GPUs
- •When you need to deploy AI models on AMD hardware
- •When you're working with large tensors and need optimized performance
- •When you're looking for an alternative to NVIDIA CUDA for AI computations
python examples/aiter_example.py --rocmlib /path/to/rocmlib --input-size 1024 --batch-size 32
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/aiter && curl -fsSL https://workflowstacks.com/api/skills/aiter/claude-skill -o ~/.claude/skills/aiter/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/aiter && curl -fsSL https://workflowstacks.com/api/skills/aiter/claude-skill -o ~/.claude/skills/aiter/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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