Google TPU v4 32GB vs Google TPU v7 192GB
The TPU v7 delivers 8.4x the BF16 throughput of the TPU v4 (2,307 vs 275 TFLOPS dense). The TPU v7 also carries 160 GB more memory (192 GB vs 32 GB).
Google TPU v4 32GB
Full specs →Google TPU v7 192GB
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
The TPU v7 is the newer part: TPU, launched in 2025, against the TPU v4's TPU from 2020. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.
Memory is 32 GB against 192 GB, fed at 1.2 TB/s versus 7.4 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
Frequently asked questions
Is the TPU v4 faster than the TPU v7?
At BF16 precision the TPU v7 reaches 2,307 TFLOPS dense against 275 TFLOPS for the TPU v4. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the TPU v4 or the TPU v7?
The TPU v7 carries 192 GB of VRAM versus 32 GB for the TPU v4. Memory bandwidth is 1.2 TB/s for the TPU v4 and 7.4 TB/s for the TPU v7.
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