NVIDIA has been granted a patent for a stacked voltage domain level shifting circuit. This circuit features a storage cell powered by a mid-range supply rail and control drivers that utilize voltages generated by the storage cell to drive gates of common-source configured devices. GlobalData’s report on NVIDIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on NVIDIA, Variational Autoencoders (VAEs) was a key innovation area identified from patents. NVIDIA's grant share as of June 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Stacked voltage domain level shifting circuits for signal conversion
The patent US12047067B2 describes a stacked voltage domain level shifting circuit designed to facilitate the conversion of signal voltages between different levels. Central to this circuit is a storage cell that operates on a mid-range supply rail, which generates moving supply voltages in response to changes in input signal voltage levels. These moving supply voltages are utilized to power control drivers, which in turn drive gates of common-source configured devices connected to the storage nodes of the storage cell. The design includes cross-coupled inverters within the storage cell, with the mid-range supply rail providing power to both positive and negative supply terminals of these inverters.
Additionally, the claims outline various configurations for the common-source devices, which can include pairs of PFET pull-up or NFET pull-down devices. The circuit may also incorporate inverted-source-follower configured devices, which can consist of either PMOS pull-down or NMOS pull-up devices. The method for shifting signals involves powering the storage cell from the mid-range supply rail to generate the moving supply voltages, which subsequently power the control drivers. This innovative approach aims to enhance the efficiency and effectiveness of voltage level shifting in electronic circuits.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
