ZLUDA 2025 transforms non-NVIDIA GPUs into CUDA-compatible powerhouses for AI workloads. Discover how this open-source solution achieves 90%+ CUDA performance on AMD/Intel GPUs, with new Q2 features like llm.c support and automated builds. Explore benchmarks, use cases, and installation guide.
Mostrando postagens com marcador GPU computing. Mostrar todas as postagens
Mostrando postagens com marcador GPU computing. Mostrar todas as postagens
quarta-feira, 2 de julho de 2025
ZLUDA 2025: The Multi-Vendor CUDA Solution Revolutionizing AI Workloads on Non-NVIDIA GPUs
Marcadores: Linux, Android, Segurança
CUDA on AMD,
CUDA on Intel,
GPU computing,
Non-NVIDIA CUDA,
ZLUDA
quarta-feira, 4 de junho de 2025
AMD Engineer Implements GPU Memory Allocation via LLVM Libc – Boosting High-Performance Computing
AMD engineer Joseph Huber upstreams GPU
malloc support in LLVM libc, enabling dynamic memory allocation for C++ & Fortran on ROCm. Boosts AI, HPC & gaming performance. Coming in LLVM 21.
Marcadores: Linux, Android, Segurança
AI workloads,
GPU computing,
HPC,
LLVM,
ROCm vs CUDA
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