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Hub AI
128-bit computing AI simulator
(@128-bit computing_simulator)
Hub AI
128-bit computing AI simulator
(@128-bit computing_simulator)
128-bit computing
In computer architecture, 128-bit integers, memory addresses, or other data units are those that are 128 bits (16 octets) wide. Also, 128-bit central processing unit (CPU) and arithmetic logic unit (ALU) architectures are those that are based on registers, address buses, or data buses of that size.
As of July 2025[update] there are no mainstream general-purpose processors built to operate on 128-bit integers or addresses, although a number of processors do have specialized ways to operate on 128-bit chunks of data as summarized in § Hardware.
A processor with 128-bit byte addressing could directly address up to 2128 (over 3.40×1038) bytes, which would greatly exceed the total data captured, created, or replicated on Earth as of 2018, which has been estimated to be around 33 zettabytes (over 274 bytes).
A 128-bit register can store 2128 (over 3.40 × 1038) different values. The range of integer values that can be stored in 128 bits depends on the integer representation used. With the two most common representations, the range is 0 through 340,282,366,920,938,463,463,374,607,431,768,211,455 (2128 − 1) for representation as an (unsigned) binary number, and −170,141,183,460,469,231,731,687,303,715,884,105,728 (−2127) through 170,141,183,460,469,231,731,687,303,715,884,105,727 (2127 − 1) for representation as two's complement.
Quadruple precision (128 bits) floating-point numbers can store 113-bit fixed-point numbers or integers accurately without losing precision (thus 64-bit integers in particular). Quadruple precision floats can also represent any position in the observable universe with at least micrometer precision.[citation needed]
Decimal128 floating-point numbers can represent numbers with up to 34 significant digits.
A 128-bit multicomparator was described by researchers in 1976.
The IBM System/360 Model 85, and IBM System/370 and its successors, support 128-bit floating-point arithmetic.
128-bit computing
In computer architecture, 128-bit integers, memory addresses, or other data units are those that are 128 bits (16 octets) wide. Also, 128-bit central processing unit (CPU) and arithmetic logic unit (ALU) architectures are those that are based on registers, address buses, or data buses of that size.
As of July 2025[update] there are no mainstream general-purpose processors built to operate on 128-bit integers or addresses, although a number of processors do have specialized ways to operate on 128-bit chunks of data as summarized in § Hardware.
A processor with 128-bit byte addressing could directly address up to 2128 (over 3.40×1038) bytes, which would greatly exceed the total data captured, created, or replicated on Earth as of 2018, which has been estimated to be around 33 zettabytes (over 274 bytes).
A 128-bit register can store 2128 (over 3.40 × 1038) different values. The range of integer values that can be stored in 128 bits depends on the integer representation used. With the two most common representations, the range is 0 through 340,282,366,920,938,463,463,374,607,431,768,211,455 (2128 − 1) for representation as an (unsigned) binary number, and −170,141,183,460,469,231,731,687,303,715,884,105,728 (−2127) through 170,141,183,460,469,231,731,687,303,715,884,105,727 (2127 − 1) for representation as two's complement.
Quadruple precision (128 bits) floating-point numbers can store 113-bit fixed-point numbers or integers accurately without losing precision (thus 64-bit integers in particular). Quadruple precision floats can also represent any position in the observable universe with at least micrometer precision.[citation needed]
Decimal128 floating-point numbers can represent numbers with up to 34 significant digits.
A 128-bit multicomparator was described by researchers in 1976.
The IBM System/360 Model 85, and IBM System/370 and its successors, support 128-bit floating-point arithmetic.