A high-throughput and memory-efficient inference and serving engine for LLMs
-
Updated
Jun 9, 2024 - Python
A high-throughput and memory-efficient inference and serving engine for LLMs
A deep learning package for many-body potential energy representation and molecular dynamics
Open deep learning compiler stack for cpu, gpu and specialized accelerators
AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends.
Two-moment AMR radiation hydrodynamics (with self-gravity, particles, and chemistry) on CPUs/GPUs for astrophysics
Next generation LAPACK implementation for ROCm platform
hipBLASLt is a library that provides general matrix-matrix operations with a flexible API and extends functionalities beyond a traditional BLAS library
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.
Add a description, image, and links to the rocm topic page so that developers can more easily learn about it.
To associate your repository with the rocm topic, visit your repo's landing page and select "manage topics."