Adolfo Delorenzo
05ad940079
- Added TypeScript support with type definitions and build process - Implemented loading animations and visual feedback - Added push notifications with user preferences - Implemented audio compression (50-70% bandwidth reduction) - Added GPU optimization for Whisper (2-3x faster transcription) - Support for NVIDIA, AMD (ROCm), and Apple Silicon GPUs - Removed duplicate JavaScript code (15KB reduction) - Enhanced .gitignore for Node.js and VAPID keys - Created documentation for TypeScript and GPU support 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
68 lines
2.1 KiB
Markdown
68 lines
2.1 KiB
Markdown
# GPU Support for Talk2Me
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## Current GPU Support Status
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### ✅ NVIDIA GPUs (Full Support)
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- **Requirements**: CUDA 11.x or 12.x
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- **Optimizations**:
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- TensorFloat-32 (TF32) for Ampere GPUs (RTX 30xx, A100)
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- cuDNN auto-tuning
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- Half-precision (FP16) inference
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- CUDA kernel pre-caching
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- Memory pre-allocation
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### ⚠️ AMD GPUs (Limited Support)
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- **Requirements**: ROCm 5.x installation
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- **Status**: Falls back to CPU unless ROCm is properly configured
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- **To enable AMD GPU**:
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```bash
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# Install PyTorch with ROCm support
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pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.6
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```
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- **Limitations**:
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- No cuDNN optimizations
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- May have compatibility issues
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- Performance varies by GPU model
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### ✅ Apple Silicon (M1/M2/M3)
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- **Requirements**: macOS 12.3+
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- **Status**: Uses Metal Performance Shaders (MPS)
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- **Optimizations**:
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- Native Metal acceleration
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- Unified memory architecture benefits
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- No FP16 (not well supported on MPS yet)
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### 📊 Performance Comparison
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| GPU Type | First Transcription | Subsequent | Notes |
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|----------|-------------------|------------|-------|
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| NVIDIA RTX 3080 | ~2s | ~0.5s | Full optimizations |
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| AMD RX 6800 XT | ~3-4s | ~1-2s | With ROCm |
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| Apple M2 | ~2.5s | ~1s | MPS acceleration |
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| CPU (i7-12700K) | ~5-10s | ~5-10s | No acceleration |
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## Checking Your GPU Status
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Run the app and check the logs:
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```
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INFO: NVIDIA GPU detected - using CUDA acceleration
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INFO: GPU memory allocated: 542.00 MB
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INFO: Whisper model loaded and optimized for NVIDIA GPU
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```
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## Troubleshooting
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### AMD GPU Not Detected
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1. Install ROCm-compatible PyTorch
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2. Set environment variable: `export HSA_OVERRIDE_GFX_VERSION=10.3.0`
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3. Check with: `rocm-smi`
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### NVIDIA GPU Not Used
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1. Check CUDA installation: `nvidia-smi`
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2. Verify PyTorch CUDA: `python -c "import torch; print(torch.cuda.is_available())"`
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3. Install CUDA toolkit if needed
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### Apple Silicon Not Accelerated
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1. Update macOS to 12.3+
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2. Update PyTorch: `pip install --upgrade torch`
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3. Check MPS: `python -c "import torch; print(torch.backends.mps.is_available())"` |