NVIDIA Shares Tensors Between GPUs. Soul Spec Shares Behavior Between Agents. Both Are Harness Engineering.

When we talk about multi-agent AI, we eventually hit the same question at every layer of the stack: how do agents share data? NVIDIA just answered this for hardware. Their Dynamo 1.0 framework routes KV caches between GPUs, offloads memory across storage tiers, and coordinates inference across thousands of nodes. It's already deployed in production at AstraZeneca, ByteDance, Pinterest, and dozens more. But hardware data sharing only solves half the problem. The other half — what should agents know about each other's identity, memory, and safety rules? — lives in software. This is the full harness stack, and it needs both layers. The Hardware Harness: NVIDIA Dynamo Traditional inference treats every request the same. But in multi-agent workflows, agents share context: a system prompt reused across turns, a conversation history referenced by multiple specialized agents, cached reasoning from a planning step. Dynamo's insight is that this shared context can be physically shared across GPU