Chip comparison
NVIDIA H200 Tensor Core GPU 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 | NVIDIA H200 Tensor Core GPU | NVIDIA T4 Tensor Core GPU |
|---|---|---|
| Process node | TSMC 4N | TSMC 12FFN |
| Transistors (B) | 80 | 13.6 |
| Die size | 814 mm² | 545 mm² |
| TDP | 700 W | 70 W |
| Memory | 141 GB HBM3e | 16 GB GDDR6 |
| Memory bandwidth | 4,800 GB/s | 320 GB/s |
| FP16 (dense) | 989 TFLOPS | 65 TFLOPS |
| BF16 (dense) | 989 TFLOPS | — |
| FP8 (dense) | 1,979 TFLOPS | — |
| INT8 (dense) | 1,979 TOPS | 130 TOPS |
| Form factor | SXM5 | PCIe (single-slot, low-profile) |
| Announced | 2023-11-13 | 2018-09-13 |
| Released | 2024-03-01 | 2019-01-01 |
Robots running NVIDIA H200 Tensor Core GPU
No robots publicly running it yet.
Robots running NVIDIA T4 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA H200 Tensor Core GPU
Data centers with NVIDIA T4 Tensor Core GPU
No data centers publicly running it yet.
Common questions
NVIDIA H200 Tensor Core GPU vs NVIDIA T4 Tensor Core GPU: which is faster for training?
NVIDIA H200 Tensor Core GPU has 30.45x the dense FP16/BF16 throughput of the other (NVIDIA H200 Tensor Core GPU: 1,979 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.
NVIDIA H200 Tensor Core GPU vs NVIDIA T4 Tensor Core GPU: which has more memory?
NVIDIA H200 Tensor Core GPU carries more HBM (NVIDIA H200 Tensor Core GPU: 141 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.
NVIDIA H200 Tensor Core GPU vs NVIDIA T4 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA H200 Tensor Core GPU 2.83 (1,979 ÷ 700 W); NVIDIA T4 Tensor Core GPU 0.93 (65 ÷ 70 W). NVIDIA H200 Tensor Core GPU wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA H200 Tensor Core GPU vs NVIDIA T4 Tensor Core GPU: which is more widely used?
NVIDIA H200 Tensor Core GPU: 0 robots and 4 data centers publicly running it. NVIDIA T4 Tensor Core GPU: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · NVIDIA H200 Tensor Core GPU full page · NVIDIA T4 Tensor Core GPU full page.