Chip comparison
NVIDIA B200 (Blackwell) 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 B200 (Blackwell) | NVIDIA T4 Tensor Core GPU |
|---|---|---|
| Process node | TSMC 4NP | TSMC 12FFN |
| Transistors (B) | 208 | 13.6 |
| Die size | — | 545 mm² |
| TDP | 1000 W | 70 W |
| Memory | 192 GB HBM3e | 16 GB GDDR6 |
| Memory bandwidth | 8,000 GB/s | 320 GB/s |
| FP16 (dense) | 2,250 TFLOPS | 65 TFLOPS |
| BF16 (dense) | 2,250 TFLOPS | — |
| FP8 (dense) | 4,500 TFLOPS | — |
| INT8 (dense) | 4,500 TOPS | 130 TOPS |
| Form factor | SXM6 | PCIe (single-slot, low-profile) |
| Announced | 2024-03-18 | 2018-09-13 |
| Released | 2024-11-01 | 2019-01-01 |
Robots running NVIDIA B200 (Blackwell)
No robots publicly running it yet.
Robots running NVIDIA T4 Tensor Core GPU
No robots publicly running it yet.
Data centers with NVIDIA B200 (Blackwell)
Data centers with NVIDIA T4 Tensor Core GPU
No data centers publicly running it yet.
Common questions
NVIDIA B200 (Blackwell) vs NVIDIA T4 Tensor Core GPU: which is faster for training?
NVIDIA B200 (Blackwell) has 69.23x the dense FP16/BF16 throughput of the other (NVIDIA B200 (Blackwell): 4,500 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 B200 (Blackwell) vs NVIDIA T4 Tensor Core GPU: which has more memory?
NVIDIA B200 (Blackwell) carries more HBM (NVIDIA B200 (Blackwell): 192 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 B200 (Blackwell) vs NVIDIA T4 Tensor Core GPU: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W); NVIDIA T4 Tensor Core GPU 0.93 (65 ÷ 70 W). NVIDIA B200 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
NVIDIA B200 (Blackwell) vs NVIDIA T4 Tensor Core GPU: which is more widely used?
NVIDIA B200 (Blackwell): 0 robots and 3 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 B200 (Blackwell) full page · NVIDIA T4 Tensor Core GPU full page.