What to Expect from NemoClaw at GTC 2026

GTC 2026 runs March 15–19 in San Jose. Jensen Huang’s keynote lands Tuesday the 17th. And for anyone paying attention to the enterprise AI agent space, the announcement everyone is watching is NemoClaw.

Here’s what we know so far, what’s still speculation, and what to actually pay attention to when Huang takes the stage.

What NemoClaw is

NemoClaw is NVIDIA’s enterprise AI agent platform. It’s built on top of OpenClaw — the open-source agent orchestration framework that Seeko developed and open-sourced in 2025 — and extends it with NVIDIA-specific infrastructure, hardware optimizations, and a managed control plane for enterprise deployments.

The core thesis is straightforward: most enterprises want AI agents, but they don’t want to build agent infrastructure from scratch. NemoClaw gives them a platform with NVIDIA’s compute underneath and OpenClaw’s orchestration layer on top.

NVIDIA has described it as “hardware-agnostic at the agent layer” — meaning the orchestration logic isn’t tied to H100s or Blackwell GPUs, even though NVIDIA is clearly hoping it drives demand for their chips. Whether that claim holds in practice is one of the things worth watching as more production deployments go live.

What NVIDIA has already confirmed

NVIDIA has been relatively quiet about NemoClaw ahead of GTC, but a few things are already on the record.

The platform is open source at the core. NVIDIA has committed to keeping the agent orchestration layer open, with enterprise extensions (managed infrastructure, compliance tooling, support SLAs) available as a paid tier. This mirrors the model they used with NeMo for LLM training.

On partnerships: Salesforce, Cisco, Google Cloud, Adobe, and CrowdStrike have all been confirmed as launch partners. Salesforce is integrating NemoClaw agents into Agentforce workflows. Cisco is using it for network operations automation. The Google Cloud partnership suggests NemoClaw will run natively on Vertex AI in addition to NVIDIA’s own cloud. Adobe and CrowdStrike integrations are less detailed publicly, but both point toward creative workflow automation and security operations as early verticals.

The CrowdStrike partnership is the most interesting to me. Security operations is one of the highest-value use cases for AI agents — it’s alert-heavy, time-sensitive, and deeply constrained by compliance requirements. If NemoClaw can work cleanly in that environment, it signals something real about the platform’s maturity.

What to watch for in the keynote

Jensen Huang keynotes tend to move fast and pack a lot in. Here’s what to pay close attention to when NemoClaw comes up.

The security and compliance story. Enterprise adoption of AI agents lives or dies on trust. How NVIDIA positions NemoClaw’s credential handling, audit logging, and sandboxing will tell you a lot about how seriously they’ve thought through the hard parts.

Pricing and deployment models. Open source core with paid enterprise tier is the announced model. The question is what’s actually in the enterprise tier and whether it’s priced for large Fortune 500 contracts or accessible to mid-market companies too.

Specific production deployments. Partner announcements are easy. Actual production workloads are harder. If Huang names specific use cases running in production — number of agents, task volume, measurable outcomes — that’s a meaningful signal about where the platform actually is.

The relationship to NeMo. NVIDIA already has the NeMo framework for LLM training and inference. How NemoClaw relates to that stack, and whether there’s a coherent story about moving from model training to agent deployment within NVIDIA’s ecosystem, matters for enterprises who are already NVIDIA customers.

Hardware tie-ins. NVIDIA will almost certainly position NemoClaw as running best on their latest hardware. The question is how real that dependency is versus how well it runs on commodity infrastructure or other cloud providers.

What we don’t know yet

The big unknowns heading into GTC are governance tooling, the depth of the enterprise compliance story, and whether NVIDIA will be transparent about performance benchmarks for the OpenClaw-based orchestration layer.

There’s also an open question about ecosystem. NVIDIA has a massive developer and enterprise customer base. But the agent tooling space is crowded — Salesforce has Agentforce, Microsoft has Copilot Studio, Google has Vertex AI Agent Builder. NemoClaw needs a clear answer for why an enterprise would choose it over those options or alongside them.

After the keynote

This post will be updated as announcements happen during GTC week. If NVIDIA drops documentation, pricing, or additional partner details, we’ll add context here.

The bigger question — whether NemoClaw becomes a real enterprise standard or remains an interesting NVIDIA play — will take months of production deployments to answer. GTC is just the starting gun.

Watch the keynote. Then wait and see what enterprises actually ship.