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.
We usually wait until the end of the article to paint the whole picture and complete the review. However, the Dell PowerEdge XE9680 presents such an exciting piece of hardware we couldn’t wait to share our excitement with this positive review. Dell’s design is centered around the needs of AI, providing an immense amount of
The rapid progression of Artificial Intelligence in 2023 is unparalleled, and at the center of all this fanfare (drumroll please) are Generative AI models, with a prime example being the Large Language Model (LLM), like ChatGPT. These LLMs have garnered significant attention for their capability to generate human-like text by providing responses, generating content, and
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