DEPLOYDatabase

Chip comparison

NVIDIA T4 Tensor Core GPU vs Tesla HW4 (FSD Computer 2)

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.

FieldNVIDIA T4 Tensor Core GPUTesla HW4 (FSD Computer 2)
Process nodeTSMC 12FFNSamsung 7LPP
Transistors (B)13.6
Die size545 mm²
TDP70 W90 W
Memory16 GB GDDR616 GB GDDR6
Memory bandwidth320 GB/s
FP16 (dense)65 TFLOPS
INT8 (dense)130 TOPS300 TOPS
Form factorPCIe (single-slot, low-profile)Auto-board (dual-SoC)
Announced2018-09-132023-01-01
Released2019-01-012023-02-01

Robots running NVIDIA T4 Tensor Core GPU

No robots publicly running it yet.

Robots running Tesla HW4 (FSD Computer 2)

Data centers with NVIDIA T4 Tensor Core GPU

No data centers publicly running it yet.

Data centers with Tesla HW4 (FSD Computer 2)

No data centers publicly running it yet.

Common questions

NVIDIA T4 Tensor Core GPU vs Tesla HW4 (FSD Computer 2): which has more memory?

Tesla HW4 (FSD Computer 2) carries more HBM (NVIDIA T4 Tensor Core GPU: 16 GB GDDR6; Tesla HW4 (FSD Computer 2): 16 GB GDDR6). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

NVIDIA T4 Tensor Core GPU vs Tesla HW4 (FSD Computer 2): which is more widely used?

NVIDIA T4 Tensor Core GPU: 0 robots and 0 data centers publicly running it. Tesla HW4 (FSD Computer 2): 3 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 T4 Tensor Core GPU full page · Tesla HW4 (FSD Computer 2) full page.