Chip comparison
AMD Instinct MI325X vs NVIDIA T4 Tensor Core GPU
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | AMD Instinct MI325X | NVIDIA T4 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N5 + N6 (chiplet) | TSMC 12FFN |
| Transistors (B) | — | 13.6 |
| Die size | — | 545 mm² |
| TDP | 1000 W | 70 W |
| Memory | 256 GB HBM3e | 16 GB GDDR6 |
| Memory bandwidth | 6,000 GB/s | 320 GB/s |
| FP16 (dense) | 1,307 TFLOPS | 65 TFLOPS |
| BF16 (dense) | 1,307 TFLOPS | — |
| FP8 (dense) | 2,614 TFLOPS | — |
| INT8 (dense) | 2,614 TOPS | 130 TOPS |
| Form factor | OAM | PCIe (single-slot, low-profile) |
| Announced | 2024-10-10 | 2018-09-13 |
| Released | 2025-01-01 | 2019-01-01 |
Robots running AMD Instinct MI325X
No robots publicly running it yet.
Robots running NVIDIA T4 Tensor Core GPU
No robots publicly running it yet.
Data centers with AMD Instinct MI325X
No data centers publicly running it yet.
Data centers with NVIDIA T4 Tensor Core GPU
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Common questions
AMD Instinct MI325X vs NVIDIA T4 Tensor Core GPU: which is faster for training?
AMD Instinct MI325X has 40.22x the dense FP16/BF16 throughput of the other (AMD Instinct MI325X: 2,614 TFLOPS; NVIDIA T4 Tensor Core GPU: 65 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
AMD Instinct MI325X vs NVIDIA T4 Tensor Core GPU: which has more memory?
AMD Instinct MI325X carries more HBM (AMD Instinct MI325X: 256 GB HBM3e; NVIDIA T4 Tensor Core GPU: 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AMD Instinct MI325X vs NVIDIA T4 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI325X 2.61 (2,614 ÷ 1000 W); NVIDIA T4 Tensor Core GPU 0.93 (65 ÷ 70 W). AMD Instinct MI325X wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AMD Instinct MI325X full page · NVIDIA T4 Tensor Core GPU full page.