Jump to content

Connect Leeroopedia MCP: Equip your AI agents to search best practices, build plans, verify code, diagnose failures, and look up hyperparameter defaults.

Environment:Ggml org Llama cpp Metal GPU Environment

From Leeroopedia
Knowledge Sources
Domains Infrastructure, GPU_Acceleration
Last Updated 2026-02-14 22:00 GMT

Overview

Apple Metal GPU acceleration environment for macOS, iOS, tvOS, and visionOS requiring the Metal framework and Apple Silicon or discrete AMD GPU.

Description

This environment enables GPU-accelerated inference on Apple platforms using the Metal compute shading API. Metal is the default and recommended backend for macOS builds. It automatically leverages the unified memory architecture of Apple Silicon chips (M1/M2/M3/M4), allowing models to use both CPU and GPU memory seamlessly. Metal shaders are embedded in the library at build time by default.

Usage

Use this environment for GPU-accelerated inference on Apple hardware. Metal is enabled by default when building on macOS (GGML_METAL=ON). No additional flags are needed for standard builds. Required for all inference workflows when running on Apple Silicon.

System Requirements

Category Requirement Notes
OS macOS, iOS, tvOS, visionOS Metal API required
Hardware Apple Silicon (M1+) or AMD GPU Apple Silicon uses unified memory
Frameworks Foundation, Metal, MetalKit Auto-linked by CMake
Disk ~200 MB For compiled Metal shaders and binaries

Dependencies

System Packages

  • Xcode Command Line Tools (provides Metal compiler)
  • cmake >= 3.14
  • macOS SDK with Metal framework support

Credentials

No credentials are required.

Quick Install

# Metal is auto-enabled on macOS; standard build is sufficient
cmake -B build
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)

# Explicit Metal flags (for custom configurations)
cmake -B build -DGGML_METAL=ON -DGGML_METAL_EMBED_LIBRARY=ON
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)

Code Evidence

Metal auto-detection from ggml/CMakeLists.txt:

if (APPLE)
    option(GGML_METAL "ggml: use Metal" ON)
else()
    option(GGML_METAL "ggml: use Metal" OFF)
endif()

Framework linking from ggml/src/ggml-metal/CMakeLists.txt:

find_library(FOUNDATION_LIBRARY Foundation REQUIRED)
find_library(METAL_LIBRARY       Metal      REQUIRED)
find_library(METALKIT_LIBRARY    MetalKit   REQUIRED)
target_link_libraries(ggml-metal PRIVATE
    ${FOUNDATION_LIBRARY} ${METAL_LIBRARY} ${METALKIT_LIBRARY})

Metal build options from ggml/src/ggml-metal/CMakeLists.txt:

option(GGML_METAL_NDEBUG        "ggml: disable Metal debugging"        OFF)
option(GGML_METAL_SHADER_DEBUG  "ggml: compile with -fno-fast-math"    OFF)
option(GGML_METAL_EMBED_LIBRARY "ggml: embed Metal library in binary"  ${GGML_METAL})

Common Errors

Error Message Cause Solution
Could NOT find Metal Not building on macOS or Xcode tools missing Install Xcode Command Line Tools: xcode-select --install
Metal library not found Embedded Metal library build failed Rebuild with -DGGML_METAL_EMBED_LIBRARY=ON
Unsupported OS for Metal Trying to enable Metal on Linux/Windows Metal is Apple-only; use CUDA or Vulkan on other platforms

Compatibility Notes

  • Apple Silicon (M1/M2/M3/M4): Unified memory allows models to exceed GPU VRAM since CPU and GPU share the same memory pool.
  • Accelerate Framework: Automatically linked on macOS for BLAS operations (GGML_ACCELERATE=ON by default).
  • Shader Debugging: Enable GGML_METAL_SHADER_DEBUG to compile Metal shaders with -fno-fast-math for debugging numerical issues.
  • iOS/tvOS/visionOS: Supported via XCFramework builds. Use build-xcframework.sh script.

Related Pages

Page Connections

Double-click a node to navigate. Hold to expand connections.
Principle
Implementation
Heuristic
Environment