We're launching two specialized TPUs for the agentic era.

Google launched TPU v8 with two specialized variants: one for dense models, another for sparse, activation-heavy workloads common in agentic workflows. Both are available now in select regions.

Dense TPUs cut Llama 3 70B inference latency by 40% compared to v5e, but the sparse variant matters more—it’s optimized for unpredictable token bursts in agent reasoning steps. Most teams still run agents on generic GPUs, wasting 30–50% of compute on idle cycles. Stop defaulting to GCP’s general-purpose VMs for agent fleets—this is like using pickup trucks for drone delivery.

Migrate agent-based systems from A100s to TPU v8 sparse where reasoning paths are non-deterministic. Teams below 10K daily agent sessions won’t benefit. Watch for TPU v8’s adoption in Vertex AI agent deployments—it’s the leading signal.