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  2. GDDR7 SDRAM - Wikipedia

    en.wikipedia.org/wiki/GDDR7_SDRAM

    Graphics Double Data Rate 7 Synchronous Dynamic Random-Access Memory (GDDR7 SDRAM) is a type of synchronous graphics random-access memory (SGRAM) specified by the JEDEC Semiconductor Memory Standard, with a high bandwidth, "double data rate" interface, designed for use in graphics cards, game consoles, and high-performance computing.

  3. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU . Nvidia DGX GB200 offers 13.5 TB HBM3e of shared memory with linear scalability for giant AI models, less than its predecessor DGX GH200.

  4. GDDR6 SDRAM - Wikipedia

    en.wikipedia.org/wiki/GDDR6_SDRAM

    Nvidia officially announced the first consumer graphics cards using GDDR6, the Turing-based GeForce RTX 2080 Ti, RTX 2080 & RTX 2070 on August 20, 2018, [15] RTX 2060 on January 6, 2019 [16] and GTX 1660 Ti on February 22, 2019. [17] GDDR6 memory from Samsung Electronics is also used for the Turing-based Quadro RTX series. [18]

  5. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    This number is generally used as a maximum throughput number for the GPU and generally, a higher fill rate corresponds to a more powerful (and faster) GPU. Memory subsection. Bandwidth – Maximum theoretical bandwidth for the processor at factory clock with factory bus width. GHz = 10 9 Hz. Bus type – Type of memory bus or buses used.

  6. GeForce 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_40_series

    The GeForce 40 series is a family of consumer graphics processing units (GPUs) developed by Nvidia as part of its GeForce line of graphics cards, succeeding the GeForce 30 series. The series was announced on September 20, 2022, at the GPU Technology Conference, and launched on October 12, 2022, starting with its flagship model, the RTX 4090. [1]

  7. Hopper (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Hopper_(microarchitecture)

    The Nvidia Hopper H100 GPU is implemented using the TSMC N4 process with 80 billion transistors. It consists of up to 144 streaming multiprocessors. [1] Due to the increased memory bandwidth provided by the SXM5 socket, the Nvidia Hopper H100 offers better performance when used in an SXM5 configuration than in the typical PCIe socket.