{"id":151,"date":"2026-03-17T10:00:12","date_gmt":"2026-03-17T10:00:12","guid":{"rendered":"https:\/\/technewscentury.co.uk\/?p=151"},"modified":"2026-03-17T10:00:12","modified_gmt":"2026-03-17T10:00:12","slug":"dell-and-nvidia-bring-secure-autonomous-ai-agents-to-the-desktop","status":"publish","type":"post","link":"https:\/\/technewscentury.co.uk\/?p=151","title":{"rendered":"Dell and NVIDIA Bring Secure Autonomous AI Agents to the Desktop"},"content":{"rendered":"

Dell Technologies<\/span><\/span>\u00a0is expanding its AI partnership with NVIDIA<\/span><\/span>, announcing support for NVIDIA NemoClaw<\/strong> and NVIDIA OpenShell<\/strong>\u2014two key building blocks aimed at accelerating the development of secure, autonomous AI agents.<\/span><\/p>\n

This move signals a clear shift: the future of AI isn\u2019t just about models\u2014it\u2019s about agents that can act, adapt, and operate independently<\/strong>.<\/span><\/p>\n

\n

A Simpler Way to Build Always-On AI Agents<\/span><\/h2>\n

For developers working locally, Dell and NVIDIA are introducing NVIDIA NemoClaw<\/strong>, an open-source stack designed to make running always-on AI assistants dramatically easier\u2014and safer.<\/span><\/p>\n

With a single command, developers can spin up autonomous agents powered by:<\/span><\/p>\n

    \n
  • \n

    NVIDIA OpenShell<\/strong> \u2013 an open-source runtime that securely executes agents in isolated environments<\/span><\/p>\n<\/li>\n

  • \n

    NVIDIA Nemotron<\/strong> models \u2013 optimised for advanced reasoning and task execution<\/span><\/p>\n<\/li>\n<\/ul>\n

    Together, these tools are part of the broader NVIDIA Agent Toolkit, lowering the barrier to building AI systems that don\u2019t just respond\u2014but take action<\/strong>.<\/span><\/p>\n

    \"dell
    Dell Pro Max Desktop GB300<\/figcaption><\/figure>\n
    \n

    The Rise of Autonomous Agents\u2014and the Security Problem<\/span><\/h2>\n

    The momentum behind autonomous agents exploded after the release of OpenClaw in early 2026. The project quickly gained over 100,000 GitHub stars in its first week, highlighting massive developer interest in AI systems that can:<\/span><\/p>\n

      \n
    • \n

      Write and debug code<\/span><\/p>\n<\/li>\n

    • \n

      Spawn specialized sub-agents<\/span><\/p>\n<\/li>\n

    • \n

      Use professional tools independently<\/span><\/p>\n<\/li>\n

    • \n

      Execute complex, multi-step workflows over time<\/span><\/p>\n<\/li>\n<\/ul>\n

      But this power comes with a serious tradeoff.<\/span><\/p>\n

      To be useful, these agents need deep access to tools, systems, and data. That creates a fundamental tension:<\/span>
      How do you enable autonomy without sacrificing security?<\/strong><\/span><\/p>\n

      \n

      OpenShell: A Security-First Runtime for AI Agents<\/span><\/h2>\n

      NVIDIA OpenShell is designed to solve exactly that problem.<\/span><\/p>\n

      It introduces an infrastructure layer that allows developers to run agents securely\u2014with zero code changes<\/strong>\u2014inside isolated sandboxes. Key features include:<\/span><\/p>\n

        \n
      • \n

        Zero-permission defaults<\/strong> \u2013 agents start with no access and must be explicitly granted capabilities<\/span><\/p>\n<\/li>\n

      • \n

        Private inference by default<\/strong> \u2013 sensitive data stays local<\/span><\/p>\n<\/li>\n

      • \n

        Policy-based enforcement<\/strong> \u2013 every action is governed at the infrastructure level<\/span><\/p>\n<\/li>\n<\/ul>\n

        In short, OpenShell makes it possible to deploy powerful autonomous agents without losing control<\/strong>.<\/span><\/p>\n

        \n

        Dell Pro Max: Hardware Built for Agentic AI<\/span><\/h2>\n

        To complement the software stack, Dell is rolling out its Pro Max<\/strong> systems powered by NVIDIA\u2019s latest Grace Blackwell architecture\u2014purpose-built for running autonomous agents locally.<\/span><\/p>\n

        These machines are designed to deliver:<\/span><\/p>\n

          \n
        • \n

          Massive compute performance<\/span><\/p>\n<\/li>\n

        • \n

          Large unified memory pools<\/span><\/p>\n<\/li>\n

        • \n

          Always-on reliability for continuous agent workflows<\/span><\/p>\n<\/li>\n<\/ul>\n

          And importantly, they enable enterprises to run advanced AI without relying on the cloud<\/strong>.<\/span><\/p>\n

          \n

          Dell Pro Max with GB10: Efficient Power for Always-On Agents<\/span><\/h2>\n

          The Dell Pro Max with GB10<\/strong> targets organisations looking for a compact yet powerful system.<\/span><\/p>\n

          Highlights include:<\/span><\/p>\n

            \n
          • \n

            Up to 1 petaFLOP of FP4 AI performance<\/strong><\/span><\/p>\n<\/li>\n

          • \n

            128GB of unified memory<\/strong> for running larger models locally<\/span><\/p>\n<\/li>\n

          • \n

            Support for scaling up to 4x configurations<\/span><\/p>\n<\/li>\n

          • \n

            Full access to the NVIDIA AI software ecosystem<\/span><\/p>\n<\/li>\n<\/ul>\n

            Its power-efficient design makes it ideal for always-on agents<\/strong>, while Dell and NVIDIA are also co-developing an air-gapped version<\/strong> for highly sensitive environments\u2014such as government or classified workloads.<\/span><\/p>\n

            \n

            Dell Pro Max with GB300: A Desk-Side Supercomputer<\/span><\/h2>\n

            At the high end, the Dell Pro Max with GB300<\/strong> pushes desktop computing into data centre territory.<\/span><\/p>\n

            As the first OEM system to feature the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip<\/strong>, it delivers:<\/span><\/p>\n

              \n
            • \n

              Up to 20 petaFLOPS of FP4 performance<\/strong><\/span><\/p>\n<\/li>\n

            • \n

              A massive 748GB of unified memory<\/strong><\/span><\/p>\n<\/li>\n

            • \n

              Support for trillion-parameter-scale AI models<\/strong><\/span><\/p>\n<\/li>\n<\/ul>\n

              This level of performance allows autonomous agents to run entirely on-device<\/strong>, offering:<\/span><\/p>\n

                \n
              • \n

                Faster response times<\/span><\/p>\n<\/li>\n

              • \n

                Stronger data privacy<\/span><\/p>\n<\/li>\n

              • \n

                Reliable operation without internet connectivity<\/span><\/p>\n<\/li>\n<\/ul>\n

                Dell\u2019s proprietary MaxCool<\/strong> technology ensures thermal efficiency, removing heat up to five times more effectively than traditional designs.<\/span><\/p>\n

                \n

                Why This Matters<\/span><\/h2>\n

                This announcement isn\u2019t just another hardware launch\u2014it\u2019s a glimpse into the next phase of AI.<\/span><\/p>\n

                We\u2019re moving from:<\/span><\/p>\n

                  \n
                • \n

                  Prompt-based AI \u2192 Autonomous systems<\/strong><\/span><\/p>\n<\/li>\n

                • \n

                  Cloud-dependent workflows \u2192 Local-first intelligence<\/strong><\/span><\/p>\n<\/li>\n

                • \n

                  Static models \u2192 Self-evolving agents<\/strong><\/span><\/p>\n<\/li>\n<\/ul>\n

                  By combining secure runtime environments like OpenShell with powerful local compute, Dell and NVIDIA are tackling one of the biggest blockers to enterprise adoption: trust<\/strong>.<\/span><\/p>\n

                  \n

                  Industry Perspective<\/span><\/h2>\n

                  Dell COO Jeff Clarke<\/strong> emphasised the importance of local, secure deployment:<\/span><\/p>\n

                  \n

                  Autonomous agents are the next wave of AI, but enterprises won\u2019t adopt them without strong security and local execution. This changes how developers build and deploy AI.<\/span><\/p>\n<\/blockquote>\n

                  From NVIDIA\u2019s side, VP Chris Marriot highlighted the broader shift:<\/span><\/p>\n

                  \n

                  The next chapter of AI is autonomous systems that can reason, learn, and act\u2014OpenShell provides the secure foundation for that future.<\/span><\/p>\n<\/blockquote>\n

                  Meanwhile, companies like Snowflake are already seeing real-world benefits. Their AI research teams are using GB300-powered systems to:<\/span><\/p>\n

                    \n
                  • \n

                    Post-train 32B-scale models<\/span><\/p>\n<\/li>\n

                  • \n

                    Extend sequence lengths beyond 128K<\/span><\/p>\n<\/li>\n

                  • \n

                    Rapidly prototype and deploy new AI techniques<\/span><\/p>\n<\/li>\n<\/ul>\n

                    The result: faster iteration cycles and quicker paths to production<\/strong>.<\/span><\/p>\n

                    \n

                    Availability<\/span><\/h2>\n

                    Dell Pro Max systems with GB10 and GB300, along with NVIDIA OpenShell support, are available now.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                    Dell Technologies\u00a0is expanding its AI partnership with NVIDIA, announcing support for NVIDIA NemoClaw and NVIDIA OpenShell\u2014two key building blocks aimed at accelerating the development of secure, autonomous AI agents. This move signals a clear shift: the future of AI isn\u2019t just about models\u2014it\u2019s about agents […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[27,2,160],"tags":[161,235,236],"class_list":["post-151","post","type-post","status-publish","format-standard","hentry","category-ai","category-news","category-pc","tag-dell","tag-gtc","tag-nvidia"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=\/wp\/v2\/posts\/151","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=151"}],"version-history":[{"count":0,"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=\/wp\/v2\/posts\/151\/revisions"}],"wp:attachment":[{"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=151"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=151"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technewscentury.co.uk\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=151"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}