Dell Technologies is expanding its Nvidia-powered AI workstation portfolio with a new 64GB desktop configuration and is preparing to bring a high-end system with up to 748GB of memory to Windows environments.
In an Oct. 21 announcement, Dell detailed new AI deployment options, including a 64GB Dell Pro Precision GB10 configuration scheduled for Oct. 23, validated deployment templates, and expanded managed AI services. The company also reiterated plans to bring Windows support to its higher-end GB300 workstation.
Nvidia first announced the 64GB GB10 configuration on Oct. 2, naming Dell as one of the participating manufacturers. Dell’s Oct. 21 announcement provided additional details about its workstation portfolio and enterprise AI deployment offerings.
For channel partners, the expansion creates potential opportunities to sell AI hardware, deploy business-specific applications, and provide recurring services as customers move beyond AI experiments toward production deployments.
Dell expands AI workstations with new 64GB configuration
One of the announcement’s most immediate developments is Dell’s confirmation of the 64GB unified memory configuration of the Dell Pro Precision with GB10.
According to Dell, the system targets individual developers and smaller teams building AI applications locally.
Dell says GB10 workstations support two- and four-system clusters for larger AI workloads. StorageReview reports configurations involving two 64GB systems or four 128GB systems and says it has operated eight GB10 systems in a shared-storage environment. Separately, Nvidia confirms that DGX Spark supports clusters of up to eight units through manual configuration.
The new 64GB configuration is scheduled to become available Oct. 23. Nvidia says 64GB DGX Spark systems from participating manufacturers start at $4,999, although Dell has not confirmed pricing for its specific configuration.
At the higher end, Dell highlighted its Pro Precision with GB300 workstation, powered by Nvidia’s Grace Blackwell Ultra architecture.
According to Dell, the GB300 combines 496GB of CPU memory and 252GB of GPU memory for a total of 748GB of coherent memory. Dell also claims peak AI computing performance of up to 20 petaflops at FP4 precision.
Dell says the GB300 can support AI models containing up to 1 trillion parameters locally, although actual performance and model capacity depend on workload requirements and software configuration.
The GB300 hardware itself is not new. Dell previously introduced the workstation under its Pro Max branding before renaming it Pro Precision. The latest announcements focus on Windows compatibility and broader enterprise AI deployment capabilities.
Windows support for the GB300 was originally announced Oct. 7. Dell lists GB300 Windows support as coming soon in its Oct. 21 announcement and product specifications, although a separate FAQ describes it as available now. Channel partners should confirm availability directly with Dell before making customer commitments.
The development builds on Dell’s recent AI hardware expansion. Earlier this month, Channel Insider covered the Dell XPS 16 Creator Edition, which combines Nvidia RTX Spark capabilities with a premium laptop design.
Dell’s workstation portfolio addresses the more demanding requirements of AI development and deployment.
Dell adds deployment templates and managed AI services
Beyond hardware, Dell is expanding its Deskside Agentic AI offerings with validated reference deployment templates designed to help businesses configure and scale AI applications.
The templates cover applications including agentic coding, video search and summarization, Nvidia NemoClaw, Hermes Agent on NemoClaw, and AI lab environments for higher education. Dell says its validated deployment templates are available through GitHub, providing reference configurations for supported AI workloads.
According to Dell, the reference templates are designed to help organizations scale supported agentic AI workloads from individual developers to enterprise deployments involving 1,000 or more systems.
Dell is also introducing Managed Services for AI, scheduled for availability in the first quarter of 2027. The company says its planned managed AI services will help enterprises optimize AI resources, manage access and governance, and oversee infrastructure consumption and costs as deployments scale.
These capabilities address an important challenge for enterprises adopting AI: moving from experimental applications to reliable production systems.
While high-memory workstations can support larger models and more demanding workloads, organizations must still account for software compatibility, security requirements, infrastructure costs, and ongoing administration.
Dell’s approach combines local AI computing with deployment guidance and operational services, potentially reducing some of the complexity associated with enterprise adoption.
Channel Insider previously examined Dell’s broader AI Data Platform expansion, including new agentic AI capabilities and managed infrastructure services. Those developments illustrate how Dell is building an enterprise AI portfolio that extends beyond individual computing devices.
What Dell’s AI expansion means for channel partners
For MSPs, VARs, systems integrators, and enterprise resellers, Dell’s latest announcement presents opportunities that extend beyond selling high-performance workstations.
The more significant opportunity could be helping customers determine where dedicated AI infrastructure makes financial and operational sense, then supporting those deployments throughout their lifecycle.
The new 64GB GB10 configuration may give partners another option for customers beginning local AI development, while the higher-capacity GB300 targets organizations with more demanding requirements.
That creates several potential business opportunities:
- Hardware sales and infrastructure assessments: VARs can help customers evaluate AI workloads, select appropriate systems, and determine whether local computing offers advantages over cloud-based services.
- AI deployment and integration: Systems integrators can configure development environments, integrate AI applications with existing business systems, and implement Dell-validated deployment templates.
- Recurring managed services: MSPs can provide infrastructure monitoring, security management, software maintenance, performance optimization, and ongoing support for AI deployments.
Dell’s planned Managed Services for AI offering also introduces an important consideration for service providers.
Partners will need to understand how Dell’s services fit alongside their own offerings, including whether they can complement, resell, or integrate them into existing managed service agreements. Dell’s announcement does not establish specific new partner incentives or resale arrangements.
The expansion also comes as Dell continues to reshape its existing channel strategy. As Channel Insider reported in May, Dell’s 2026 partner program refresh emphasized AI expertise, infrastructure modernization, customer outcomes, and new opportunities for advisory and systems integration partners.
That broader strategy could make AI workstation deployments particularly relevant to partners developing specialized consulting and managed services practices, although the Oct. 21 announcement does not establish additional incentives tied specifically to these systems.
For resellers, customer qualification will be especially important. A workstation capable of supporting extremely large AI models may be attractive to enterprise buyers, but that does not automatically make it the most economical choice.
Partners should evaluate model sizes, expected utilization, data sensitivity, operating expenses, software requirements, and the costs of alternative cloud infrastructure before recommending a purchase.
The Oct. 23 GB10 availability date also gives partners a near-term opportunity to review product configurations and begin conversations with customers exploring local AI development.
The forthcoming GB300 Windows configuration could appeal to customers with established Windows management environments, although partners will need to verify application compatibility, deployment requirements, and availability before recommending it.
For MSPs, the long-term opportunity may be particularly significant. Businesses deploying AI infrastructure locally will still require security controls, model updates, resource management, troubleshooting, and ongoing optimization. Those needs could support recurring service agreements, particularly among customers without dedicated AI engineering teams.
Channel partners should begin by identifying customers with active AI pilots, assessing whether their workloads justify local infrastructure, and developing service packages that combine deployment, security, and ongoing management.
Dell’s latest expansion gives the channel additional hardware and deployment options, but the greatest value may come from helping customers translate those capabilities into practical business outcomes. As enterprises move AI applications into production, partners that can demonstrate measurable returns and manage the infrastructure over time will be better positioned to capture opportunities beyond the initial hardware sale.
Also read: For more on how Dell is bringing AI workloads closer to enterprise users, read Channel Insider’s coverage of Dell’s deskside AI strategy, including the opportunities and challenges of deploying AI locally.