NVIDIA GTC Recap: Updates From the Next-Gen AI Conference

NVIDIA GTC 2026, one of the largest AI conferences focused on next-gen AI, featured no shortage of product and service announcements.

Among the announcements are those that open new opportunities for the channel with AI agent-as-a-service offerings and strengthening NVIDIA’s position as a platform orchestrator within the channel ecosystem.

MSPs and MSSPs will also be able to build new recurring revenue streams as the news from the conference indicates an increased need for AI monitoring, governance, and security services.

NVIDIA launches NemoClaw

At its conference, NVIDIA announced NemoClaw, an enhanced version of its open-source OpenClaw AI agent framework.

This latest solution includes built-in security and privacy guardrails; support for always-on autonomous agents; and tooling for enterprises to safely deploy AI agents.

NemoClaw uses the NVIDIA Agent Toolkit to optimize OpenClaw in a single command, and installs OpenShell to provide open models and an isolated sandbox that enhances data privacy and security for autonomous agents. 

It provides a missing infrastructure layer beneath claws to give them the access they need to be productive, while enforcing policy-based security, network, and privacy guardrails.

Jensen Huang touts OpenClaw as ‘foundational’ technology

CEO Jensen Huang noted that the underlying OpenClaw concept is comparable to foundational technologies such as Linux and HTML in terms of its long-term impact.

The impact on the channel includes:

• New opportunities for AI agent-as-a-service offerings.
• Demand is generated for secure deployment environments and managed AI services.
• Expanded partner roles beyond infrastructure into AI operations and governance.

Driving business to cloud and channel partners

During his keynote, Huang also emphasized its growing role in connecting enterprise demand with cloud providers.

He mentioned that NVIDIA is actively bringing customers to cloud partners, and that cloud providers are seeing strong demand driven by NVIDIA workloads.

“Our relationship with cloud service providers are essentially us bringing customers to them,” said Huang. “There are a lot of customers. We are going to accelerate everybody. Just be patient with us.”

This focus boosts NVIDIA’s position as a channel demand generator, benefitting hyperscalers, regional cloud providers, and MSPs offering NVIDIA-based services. It also reinforces NVIDIA’s role as a platform orchestrator within the channel ecosystem.

HPE debuts expanded NVIDIA AI Computing by HPE solutions

HPE has announced an expansion of the NVIDIA AI Computing by HPE portfolio, with a focus on how enterprises deploy, operationalize, and scale AI.

HPE is refreshing its security-focused AI solutions with NVIDIA to deliver predictable, repeatable AI success for enterprises through the expansion of HPE Private Cloud AI, which delivers greater performance, scalability, and flexibility for enterprise inferencing. 

HPE has also added new AI solutions for retail, medical research, and manufacturing. The new NVIDIA co-designed multi-workload solutions will simplify deployment of AI use cases for autonomous edge intelligence, retail shopping assistance, video search and summarization, and biomedical research.

Lastly, HPE has introduced networking solutions focused on enabling service providers, sovereigns, and large enterprises to connect distributed AI deployments using HPE Juniper Networking routers along with coherent optics and expand its at-scale and sovereign AI factories for service providers, sovereigns, and large enterprises.

The company has also announced a new generation of systems built on the NVIDIA Vera Rubin architecture and designed to run demanding AI workloads.

Dell announces major advancements

Elsewhere, Dell Technologies has announced the advancements for the Dell AI Factory with NVIDIA.

The broad portfolio updates streamline enterprise AI deployments, turn siloed data into AI fuel, and compress the pilot-to-production timeline.

Updated Dell AI Solutions combine a new modular architecture with Dell Automation Platform blueprints and NVIDIA AI Enterprise software to deliver enterprise outcomes, simplify operations, and reduce deployment complexity. New services will bridge the skills gap and scale deployments from experimentation to production.

Further, the Dell AI Data Platform with NVIDIA advancements announced at NVIDIA GTC automates the complete AI data lifecycle and delivers AI storage performance for demanding agentic AI workloads.

“The number one problem enterprises face when moving AI pilots to production is curating the data they already have and putting it to work,” said Travis Vigil, senior VP, ISG Product Management, Dell Technologies. “The Dell AI Data Platform with NVIDIA automates the entire data lifecycle and delivers the speed and scale AI workloads demand. We’ve done the integration work, so customers deploy faster, scale with confidence and see real returns. Together with NVIDIA, we’re defining what enterprise AI infrastructure needs to be.”

Vultr adopts NVIDIA Rubin platform, plus Dynamo and Nemotron

Vultr, a cloud infrastructure company, has announced the adoption of the NVIDIA Rubin platform, along with adopting NVIDIA Dynamo and NVIDIA Nemotron.

Vultr is delivering an optimized inference stack on the NVIDIA Rubin platform.

Adopting NVIDIA Dynamo and Nemotron will enable Vultr to accelerate AI outcomes and targeted use cases. The open-source resources enable higher throughput and seamless scaling of inference workloads.

“This rise of agentic AI demands powerful, reliable AI infrastructure, and a production-ready full stack to accelerate innovation,” said J.J. Kardwell, CEO of Vultr. “With NVIDIA and our software partners, we are delivering an integrated AI environment that enables enterprises to deploy next-generation models efficiently and at scale on NVIDIA’s Rubin Platform.”

Everpure announces AI enhancements

Everpure has unveiled Evergreen//One for FlashBlade//EXA and the upcoming beta of Everpure Data Stream to help enterprises reduce costs and address the complexity barriers that can stall enterprise AI projects.

Evergreen//One (EG1) for AI now extends across FlashBlade//EXA to provide massive performance, scalability, and throughput required for large-scale training and inference.

Everpure is aligning FlashBlade//EXA with modular NVIDIA STX reference architecture to support the next generation of AI factories powered by the Vera Rubin platform.

Extending NVIDIA-Certified Storage (NVCS) validation to FlashBlade//EXA provides the foundation for constructing full stacks. The integration also defines a path toward the NVCS ‘NCP’ certification level to align with NVIDIA Cloud Partner reference architectures.

Earlier this year, NVIDIA doubled down on OpenAI by making a $20 billion investment in the company. Read more about what would be NVIDIA’s largest investment ever.