🚀 v2.1 Roadmap: GPU Acceleration & Memory Optimization #18
Description
🔥 High Priority - Performance
GPU Acceleration (Triton Kernels)
- Triton Q4_0 Kernel - 5-10x faster GPU quantization
- Triton Q8_0 Kernel - Parallel quantization on GPU
- Fused Dequant+MatMul - Single-kernel operation
- Priority: ⭐⭐⭐⭐⭐ | Difficulty: 🔴🔴🔴
Memory Optimizations
- Chunked Conversion - Process 100B+ models in chunks
- Smart Tensor Ordering - Minimize peak memory usage
- Disk Offloading - Temporary storage for ultra-large models
- Priority: ⭐⭐⭐⭐ | Difficulty: 🔴🔴
INT4 Matrix Multiplication
- Custom INT4 Kernels - Fast inference with 4-bit weights
- CUDA Implementation - Native CUDA
- Priority: ⭐⭐⭐⭐ | Difficulty: 🔴🔴🔴🔴