Google announced its eighth-generation Tensor Processing Units at Cloud Next on April 22, shipping two distinct chip designs for the first time in the TPU program's decade-long history. The two chips — TPU 8t and TPU 8i — are intended for use in different workloads. TPU 8t targets large-scale model training, while TPU 8i is built for low-latency inference and reasoning workloads.
The split also extends to the supply chain, with MediaTek having joined Broadcom as a silicon design partner for the eighth-gen program back in December, ending Broadcom’s exclusive role in TPU development since 2015. Both chips are fabricated on TSMC's N3 process family with HBM3E memory and will be available to Google Cloud customers later this year.
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| Row 0 - Cell 0 | TPU 8t | TPU 8i |
Workload | Large-scale pre-training | Sampling, serving, and reasoning |
Network topology | 3D Torus | Boardfly |
Specialized chip features | SparseCore (Embeddings) & LLM Decoder Engine | CAE (Collectives Acceleration Engine) |
HBM capacity | 216 GB | 288 GB |
On-chip SRAM | 128 MB | 384 MB |
Peak FP4 PFLOPs | 12.6 | 10.1 |
HBM bandwidth | 6,528 GB/s | 8,601 GB/s |
CPU header | Arm Axion | Arm Axion |























