Mojo Has a Free Standard Library: Python Syntax With C++ Performance for AI

Mojo extends Python with systems programming features — SIMD, ownership, compile-time metaprogramming — delivering up to 68,000x speedup over Python for numerical workloads.

Why Mojo Matters

Python is the #1 AI language but is 100-1000x slower than C++. Mojo lets you write Python-like code that runs at C++ speed, with zero-cost abstractions and GPU support.

What you get for free:

• Python-compatible syntax (most Python code just works)
• Up to 68,000x faster than CPython
• SIMD and vectorization built into the language
• Ownership system for memory safety
• GPU programming support
• Compile-time metaprogramming

Quick Start

curl -s https://get.modular.com | sh -
modular install mojo
mojo main.mojo

SIMD Operations

from math import iota
from sys.info import simdwidthof

fn main():
    alias width = simdwidthof[DType.float32]()
    var a = SIMD[DType.float32, width](1.0)
    var b = iota[DType.float32, width]()
    var c = a + b * 2.0
    print(c)  # Processes width elements in parallel

Structs with Ownership

struct Matrix:
    var data: UnsafePointer[Float64]
    var rows: Int
    var cols: Int

    fn __init__(inout self, rows: Int, cols: Int):
        self.rows = rows
        self.cols = cols
        self.data = UnsafePointer[Float64].alloc(rows * cols)

    fn __del__(owned self):
        self.data.free()

    fn __getitem__(self, row: Int, col: Int) -> Float64:
        return self.data[row * self.cols + col]

    fn __setitem__(inout self, row: Int, col: Int, val: Float64):
        self.data[row * self.cols + col] = val

Performance

Operation	Python	Mojo	Speedup
Mandelbrot	1x	68,000x	68,000x
Matrix multiply	1x	14,000x	14,000x
Sorting	1x	500x	500x

Links

• Modular
• GitHub
• Docs

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