Skip to main content
HardwareAI Infrastructurevv6e (Trillium)

Google TPU v6 (Trillium)

by Google · paid · Last verified 2026-03-17

Google's sixth-generation TPU, codenamed Trillium, delivering 4.7x compute improvement over TPU v5e. Features next-generation matrix multiply units and significantly higher memory bandwidth, designed for training and serving Gemini-class models.

https://cloud.google.com/tpu/docs/v6e
C+
C+Average
Adoption: CQuality: A+Freshness: A+Citations: BEngagement: F

Specifications

License
Proprietary
Pricing
paid
Capabilities
ai-training, inference, bfloat16-compute, int8-compute, high-bandwidth
Integrations
jax, tensorflow, pytorch-xla, gcp
Use Cases
frontier-model-training, large-scale-inference, research
API Available
Yes
Tags
tpu, data-center, training, inference, google, cloud, trillium
Added
2026-03-17
Completeness
100%

Index Score

53.7
Adoption
45
Quality
97
Freshness
95
Citations
65
Engagement
0

Put AI to work for your business

Deploy this hardware alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.

Explore the full AI ecosystem on Agents as a Service