Mojo Has a Free Language That's 35,000x Faster Than Python — Python Syntax, C Performance, AI-Native

The Python Performance Problem Python is the language of AI. It's also 100x slower than C. So every performance-critical library (NumPy, PyTorch, TensorFlow) is written in C/C++ with Python wrappers. Mojo is a superset of Python that compiles to native code. Same syntax. 35,000x faster. What Mojo Gives You Python Syntax, Native Speed fn main(): var x: Int = 0 for i in range(1_000_000): x += i print(x) Looks like Python. Runs at C speed. Use Python Libraries Directly from python import Python fn main() raises: let np = Python.import_module("numpy") let arr = np.array([1, 2, 3, 4, 5]) print(np.mean(arr)) # Works with existing numpy Import any Python package. Mojo interops seamlessly. SIMD and Hardware-Level Control from math import iota from sys import simdwidthof alias simd_width = simdwidthof[DType.float32]() fn vector_add[ size: Int ](a: SIMD[DType.float32, size], b: SIMD[DType.float32, size]) -> SIMD[DType.float32, size]: return a + b Explicit SIMD. Explicit memory layout. GPU progra