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  2. Comparison of memory cards - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_memory_cards

    16 GB Subcompact (15 mm × 12.5 mm × 1.2 mm), optional DRM, up to 16 GB Sony PS Vita Memory Card 2012 64 GB Subcompact (15 mm × 12.5 mm × 1.6 mm [7]), compulsory DRM, up to 64 GB, proprietary (can be used on PS Vita only) P2 (storage media) Panasonic MicroP2: 2012 64 GB

  3. GDDR6 SDRAM - Wikipedia

    en.wikipedia.org/wiki/GDDR6_SDRAM

    At Hot Chips 2016, Samsung announced GDDR6 as the successor of GDDR5X. [5] [6] Samsung later announced that the first products would be 16 Gbit/s, 1.35 V chips.[7] [8] In January 2018, Samsung began mass production of 16 Gb (2 GB) GDDR6 chips, fabricated on a 10 nm class process and with a data rate of up to 18 Gbit/s per pin.

  4. DDR4 SDRAM - Wikipedia

    en.wikipedia.org/wiki/DDR4_SDRAM

    DDR4 memory is supplied in 288-pin dual in-line memory modules (DIMMs), similar in size to 240-pin DDR3 DIMMs. DDR4 RAM modules feature pins that are spaced more closely at 0.85 mm compared to the 1.0 mm spacing in DDR3, allowing for a higher pin density within the same standard DIMM length of 133.35 mm (5¼ inches).

  5. GeForce 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_40_series

    At this price and performance, it should have 16GB of memory, or at the very least, a larger bus size." [111] A few weeks later, prompted by consumers backlash, Nvidia announced they would release the RTX 4060 Ti 16GB in July 2023. Despite that, the release of the 16GB variant itself was met with suspicion.

  6. DDR SDRAM - Wikipedia

    en.wikipedia.org/wiki/DDR_SDRAM

    Memory card. Memory Stick; CompactFlash; PC Card; MultiMediaCard; SD card; ... DDR1 memory's prices substantially increased from Q2 2008, while DDR2 prices declined ...

  7. AMD Instinct - Wikipedia

    en.wikipedia.org/wiki/AMD_Instinct

    The MI6 is a passively cooled, Polaris 10 based card with 16 GB of GDDR5 memory and with a <150 W TDP. [1] [2] At 5.7 TFLOPS (FP16 and FP32), the MI6 is expected to be used primarily for inference, rather than neural network training. The MI6 has a peak double precision (FP64) compute performance of 358 GFLOPS. [14]

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