At CES 2026, NVIDIA outlined a software update for DGX Spark that expands its role as a compact, on-premises AI system. The changes focus on new runtimes, quantization formats, and deployment playbooks that make it easier to run open-source models, automated workflows, and creator and 3D pipelines locally. The update is intended for teams already

Supermicro announced expanded rack-scale manufacturing capacity and upgraded direct liquid cooling capabilities to support the upcoming NVIDIA Vera Rubin NVL72 and NVIDIA HGX Rubin NVL8 platforms. The company is positioning the move to shorten deployment timelines for high-density AI infrastructure by combining US-based in-house design and manufacturing with its Data Center Building Block Solutions (DCBBS)

The NVIDIA RTX PRO 5000 72GB Blackwell GPU is now generally available, bringing Blackwell-class compute to a broader range of professional desktops. Targeted at technical users building and deploying agentic and generative AI, the new configuration addresses memory-constrained workflows that have outgrown prior-generation workstation GPUs. By complementing the existing RTX PRO 5000 48GB model, the

NVIDIA has announced two significant moves targeting high-performance computing and AI: the acquisition of SchedMD, the company behind the Slurm workload manager, and the launch of the Nemotron 3 family of open models, data, and tools for multi-agent AI. Together, these efforts reinforce NVIDIA’s position across HPC, generative AI, and enterprise AI infrastructure while maintaining

Vultr, AMD, and NetApp, all members of the Vultr Cloud Alliance, have developed a new reference architecture focused on data-intensive and AI workloads across hybrid and sovereign cloud environments. The design targets organizations that need to consolidate distributed data, accelerate AI, and enforce data locality and compliance controls without adding operational complexity. The architecture combines

Lenovo has launched an expanded range of data storage, virtualization, and data management services. These are aimed at enterprises and mid-sized companies looking to update their infrastructure for AI and advanced application workloads. The announcement highlights new Lenovo ThinkSystem and ThinkAgile solutions, along with an enhanced data management services portfolio, to create a more unified

The AMD EPYC Embedded 2005 Series is positioned for networking, storage, and industrial designs where power, thermal headroom, and board space are tightly constrained. The series focuses on high compute density and performance per watt in a compact 40 mm x 40 mm BGA package, targeting platforms that must operate continuously and deliver extended service

Enterprises are moving into a new phase of digital transformation. This phase focuses on deploying Agentic AI across their core business operations. Many organizations find it challenging to transition from isolated pilot projects to full production deployments. They struggle particularly with aligning AI to their specific business needs, governance standards, and existing infrastructure. At AWS

At AWS re:Invent, NVIDIA and Amazon Web Services announced an enhanced partnership focused on interconnect technology, cloud infrastructure, open models, and physical AI. This collaboration deepens NVIDIA’s integration with the AWS stack, covering custom silicon, networking, AI software, and robotics simulation. The focus is on production-scale AI and requirements for sovereign cloud. NVLink Fusion for