Chip comparison
AMD Instinct MI300X 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 MI300X | NVIDIA T4 Tensor Core GPU |
|---|---|---|
| Process node | TSMC N5 + N6 (chiplet) | TSMC 12FFN |
| Transistors (B) | 153 | 13.6 |
| Die size | — | 545 mm² |
| TDP | 750 W | 70 W |
| Memory | 192 GB HBM3 | 16 GB GDDR6 |
| Memory bandwidth | 5,300 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 |
| Launch price (list) | $15,000 | — |
| Form factor | OAM | PCIe (single-slot, low-profile) |
| Announced | 2023-12-06 | 2018-09-13 |
| Released | 2024-01-01 | 2019-01-01 |
Robots running AMD Instinct MI300X
No robots publicly running it yet.
Robots running NVIDIA T4 Tensor Core GPU
No robots publicly running it yet.
Data centers with AMD Instinct MI300X
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Data centers with NVIDIA T4 Tensor Core GPU
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Common questions
AMD Instinct MI300X vs NVIDIA T4 Tensor Core GPU: which is faster for training?
AMD Instinct MI300X has 40.22x the dense FP16/BF16 throughput of the other (AMD Instinct MI300X: 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 MI300X vs NVIDIA T4 Tensor Core GPU: which has more memory?
AMD Instinct MI300X carries more HBM (AMD Instinct MI300X: 192 GB HBM3; 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 MI300X vs NVIDIA T4 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AMD Instinct MI300X 3.49 (2,614 ÷ 750 W); NVIDIA T4 Tensor Core GPU 0.93 (65 ÷ 70 W). AMD Instinct MI300X wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AMD Instinct MI300X full page · NVIDIA T4 Tensor Core GPU full page.