About

Technical thesis

AgentCore Silicon is a compute architecture thesis: production agents spend their time on memory residency, context recovery, tool hops, and coordination—not a single batched matmul graph.

GPUs excel at inference throughput. Agent workloads add persistent state, API-shaped traffic, multi-agent scheduling, and reliability bars that extend across hours. Our lab simulator makes those axes explicit so infrastructure teams can reason about agent-hours before they reason about FLOPs alone.

Architecture story

• Context lanes

  Pinned lanes for hot context with lane-aware eviction.

• Memory persistence

  Hardware-backed agent state tiers from ephemeral to durable.

• Tool-call acceleration

  Dedicated ingress/egress for API-shaped traffic patterns.

• Agent scheduler

  Fairness across agents with latency-budget aware preemption.

• Concurrency fabric

  Mesh between tool pipelines, memory, and execution tiles.

• State recovery

  Fast resume paths for multi-hour runs without cold restarts.

This site is a productized benchmark lab—not a foundry PDK drop. For silicon program details, start at partner inquiry.