Real-time Analytics News for the Week Ending September 16
Summary
Submitters include: ASUSTeK, Azure, cTuning, Connect Tech, Dell, Fujitsu, Giga Computing, Google, H3C, HPE, IEI, Intel, Intel-Habana-Labs, Krai, Lenovo, Moffett, Neural Magic, NVIDIA, Nutanix, Oracle, Qualcomm, Quanta Cloud Technology, SiMA, Supermicro, TTA, and xFusion. The new integration will unlock a range of capabilities, including predictive analytics, generative AI, and visualization, to help B2B businesses make employees more productive, drive faster revenue growth, and deepen customer relationships. By using Deci’s open-source generative models and Infery LLM, AI teams can reduce their inference compute costs and use widely available and cost-friendly GPUs such as the NVIDIA A10 while also improving the quality of their offering. Palette Edgematic enables a “drag and drop,” code-free approach where users can create, build, and deploy their own models and complete computer vision pipelines automatically in minutes versus months while evaluating the performance and power consumption needs of their edge ML application in real time. The veryLLM toolkit empowers developers and data scientists to build a universally needed transparency layer into Large Language Models (LLMs) to evaluate the accuracy and authenticity of AI-generated responses.
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