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TechnologyApril 10, 1989 2 min read 144Updated: June 22, 2026

The 486 DX: Why We Can Finally Stop Using Co-processors

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For years, if you were doing serious engineering work or high-end financial modeling, you had to buy two chips: the CPU (like the 386) and a math co-processor (like the 387). It was expensive, and not every machine had one. But with the new Intel 486 DX, everything has changed. The FPU is now right there on the die.

The Integrated Advantage

By moving the math co-processor inside the CPU, Intel has eliminated the communication overhead between the two chips. In the old 386/387 combo, the CPU had to pass instructions and data over a bus to the co-processor. Now, it’s all internal.

This isn't just about speed for existing apps; it’s about making "fast math" a baseline feature of the PC.

; On a 486 DX, these instructions are natively handled
finit           ; Initialize FPU
fld     qword ptr [val1]
fmul    qword ptr [val2]
fstp    qword ptr [result]

The 486 also introduces a built-in 8KB cache. It sounds small, but having that data right next to the execution units means the "clock-for-clock" performance is nearly double that of a 386.

The RISC Influence

You can see Intel learning from the RISC (Reduced Instruction Set Computer) movement. While the 486 is still a CISC processor, many of its most common instructions now execute in a single clock cycle. It feels snappy in a way that previous generations didn't.

For those of us writing graphics routines, this is huge. We can finally start thinking about real-time 3D rendering without assuming the user will have a $500 add-on chip.

Looking Ahead

The 486 is going to be the workhorse of the early 90s. While we’ll see "SX" versions (which have the FPU disabled to save cost), the DX is the gold standard. As software becomes more visual and mathematically intensive, having a built-in FPU will transition from a luxury to a requirement. I’m already dreaming of what kind of games and visualization tools we can build when every PC can do floating-point math at these speeds.

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