AMD Instinct MI325X vs NVIDIA RTX 4500 Ada — GPU Comparison (Jul 2026)

AMD Instinct MI325X (256GB HBM3e, 1,307 TFLOPS FP16, CDNA 3) vs NVIDIA RTX 4500 Ada (24GB GDDR6, 31.7 TFLOPS FP16, Ada Lovelace). Cloud pricing: AMD Instinct MI325X from $2.00/hr. Compare specs, VRAM, performance, and pricing across 1 cloud providers to find the best GPU for your AI workload.

Bottom Line: AMD Instinct MI325X vs NVIDIA RTX 4500 Ada

AMD Instinct MI325X comes out ahead overall, leading in 4 of 5 compared categories.

Where AMD Instinct MI325X leads

  • FP16 (1,307 TFLOPS vs 31.7 TFLOPS)
  • VRAM (256 GB vs 24 GB)
  • Memory Bandwidth (6,000 GB/s vs 432 GB/s)
  • FP32 (163.4 TFLOPS vs 23.8 TFLOPS)

Where NVIDIA RTX 4500 Ada leads

  • TDP (210W vs 1000W)

Choose AMD Instinct MI325X for AI training, large model inference. Choose NVIDIA RTX 4500 Ada for CAD, visualization, light AI.

Frequently Asked Questions

Is AMD Instinct MI325X or NVIDIA RTX 4500 Ada better?
AMD Instinct MI325X leads in 4 of 5 compared categories. The right choice still depends on the factors that matter most to you.
Which has a better FP16, AMD Instinct MI325X or NVIDIA RTX 4500 Ada?
AMD Instinct MI325X (1,307 TFLOPS vs 31.7 TFLOPS).
Which has a better VRAM, AMD Instinct MI325X or NVIDIA RTX 4500 Ada?
AMD Instinct MI325X (256 GB vs 24 GB).
AMD Instinct MI325X vs NVIDIA RTX 4500 Ada — GPU Comparison (Jul 2026)
AMD Instinct MI325X
256GB HBM3e · CDNA 3
View AMD Instinct MI325X Pricing
NVIDIA RTX 4500 Ada
24GB GDDR6 · Ada Lovelace
View NVIDIA RTX 4500 Ada Pricing
Specifications
Manufacturer AMD NVIDIA
Architecture CDNA 3 Ada Lovelace
VRAM 256 GB HBM3e 24 GB GDDR6
Memory Bandwidth 6,000 GB/s 432 GB/s
FP16 (Tensor) 1307.0 TFLOPS 31.7 TFLOPS
FP32 163.4 TFLOPS 23.8 TFLOPS
TDP 1000W 210W
Release Year 2024 2024
Segment Data center Professional
Best For AI training large model inference CAD visualization light AI
Cloud Pricing
Cheapest On-Demand $2.00/hr
Cheapest Spot
Providers 2 0
Provider Pricing (On-Demand)
Vultr $2.00/hr N/A
AMD Instinct MI325X NVIDIA RTX 4500 Ada