Qualcomm and IBM Expand AI Collaboration Across Edge and Cloud
Qualcomm and IBM have announced an expanded collaboration to enhance enterprise-grade generative AI solutions across edge and cloud devices, according to a press release. This partnership aims to integrate IBM's watsonx.governance into the Qualcomm AI Inference Suite, enabling businesses to manage AI responsibly at an enterprise scale.
The collaboration will also see IBM's Granite 3.1 models optimized for Qualcomm's platforms, available for download via the Qualcomm AI Hub. This empowers developers and businesses to leverage AI capabilities at the edge, enhancing immediacy, privacy, and reliability while reducing costs and energy consumption.
Additionally, Qualcomm's Cloud AI family of accelerators has received Red Hat OpenShift certification, facilitating hybrid cloud deployments. This certification supports the deployment of IBM's software applications, including watsonx, using Qualcomm's hardware solutions.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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