Lenovo and NVIDIA have unveiled an ambitious expansion of their partnership, setting a new paradigm in generative AI, as announced in a monumental reveal at Lenovo Tech World in Austin, Texas. The collaboration is a shared vision that aims to democratize the transformative capabilities of generative AI across the broad spectrum of enterprises. Brian and

While there’s a significant amount of hype around dense GPU servers for AI, and rightfully so, the reality is that most AI training projects start on workstations. Although we can now jam up to four NVIDIA A6000 Ada GPUs into a single workstation, what’s more challenging is getting robust storage in these AI boxes. We

This week Brian sits down with our own AI expert, Jordan Ranous, to discuss and speculate on the challenges facing enterprises and small businesses as they try to get a grip on the hot topic of the decade, Artificial Intelligence. If you have been following StorageReview, then you are aware of some of the tests,

NVIDIA has made quite a splash in the world of artificial intelligence (AI) and high-performance computing with its latest unveiling – the NVIDIA GH200 Grace Hopper Superchip. This recent offering has shown outstanding performance in the MLPerf benchmarks, demonstrating NVIDIA’s prowess in cloud and edge AI.

Earlier this year, Intel published performance results between Intel Habana Gaudi2 and GPU market leader NVIDIA that illustrated Intel’s commitment to AI and proved AI is not a one-size-fits-all category. At the same time, a joint development between Intel AI researchers and Microsoft Research created BridgeTower, a pre-trained multimodal transformer delivering state-of-the-art vision-language tasks. Hugging

The landscape of graphics processing units (GPUs) has experienced seismic shifts over the past two decades, much more recently with the surge of AI. A significant part of this evolution has been the development of technologies that allow multiple GPUs to work in tandem. NVIDIA, a frontrunner in the GPU space, has been at the

Large language models offer incredible new capabilities, expanding the frontier of what is possible with AI. However, their large size and unique execution characteristics can make them challenging to use cost-effectively. NVIDIA TensorRT-LLM has been open-sourced to accelerate the development of LLMs.

This glossary provides a solid starting point for understanding various AI-related terms. Keep in mind that AI is a rapidly evolving field, and new terms and concepts may emerge over time. It’s essential to stay updated by referring to reputable sources and industry publications.

At the VMware Explore 2023 event, VMware unveiled new Private AI offerings aimed at promoting the adoption of generative AI within enterprises and harnessing the potential of trusted data. Characterized by its architectural approach, VMware Private AI balances the benefits of AI with the practical privacy and compliance requisites of organizations.