What is Taichi Lang?

What is Taichi Lang?#

2025-12-09

2 min read time

Applies to Linux

Taichi Lang is an open-source, imperative, and parallel programming language embedded in Python, designed for high-performance numerical computation and real-time physical simulation. It uses just-in-time (JIT) compilation frameworks such as LLVM to accelerate compute-intensive Python code by compiling it into optimized GPU or CPU instructions.

Features and use cases#

Taichi Lang allows developers to write concise, high-level algorithms while leaving performance optimization to Taichi’s compiler. Taichi Lang is widely used in domains such as fluid dynamics, particle-based simulations, robotics, computer vision, augmented reality, artificial intelligence, and visual effects for film and gaming. For example, simulating a cloth falling onto a sphere, a system with tens of thousands of mass points and springs, can be implemented in Taichi Lang with only a few dozen lines of Python code due to its data-oriented design and automatic parallelization.

Taichi Lang also supports advanced techniques such as hierarchical sparse voxel grids for large-scale simulations, enabling efficient handling of spatially sparse data structures in 3D visual computing. On ROCm, Taichi Lang is officially supported on AMD Instinct GPUs, making it a powerful tool for developers who need both flexibility and performance.

Why Taichi Lang?#

  • Built around Python: Taichi Lang shares almost the same syntax with Python, which lets you write algorithms with minimal syntax differences. It is also well integrated into the Python ecosystem, including NumPy and PyTorch.

  • Flexibility: Taichi Lang provides a set of generic data containers known as SNode, an effective mechanism for composing hierarchical, multi-dimensional fields. This can cover many use patterns in numerical simulation (for example, spatially sparse computing).

  • Performance: With the ti.kernel decorator, Taichi Lang’s JIT compiler automatically compiles your Python functions into efficient GPU or CPU machine code for parallel execution.

  • Portability: Write your code once and run it everywhere. Taichi Lang supports most mainstream GPU APIs, such as NVIDIA CUDA and Vulkan. You can write your code with Taichi Lang on ROCm and use it extensibly.

  • Additional feature support: Cross-platform support that includes a Vulkan-based 3D visualizer, differentiable programming, quantized computation (experimental), and many more.