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  2. SPARC T4 - Wikipedia

    en.wikipedia.org/wiki/SPARC_T4

    The SPARC T4 is a SPARC multicore microprocessor introduced in 2011 by Oracle Corporation. The processor is designed to offer high multithreaded performance (8 threads per core, with 8 cores per chip), as well as high single threaded performance from the same chip. [1] The chip is the 4th generation [2] processor in the T-Series family.

  3. Template:Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Template:Nvidia_Tesla

    May 2, 2007 1× G80 600 128 1,350 — GDDR3 384 1.5 1,600 76.8 No 0.3456 No 1.0 170.9 Internal PCIe GPU (full-height, dual-slot) D870 Deskside Computer [d] May 2, 2007 2× G80 600 256 1,350 — GDDR3 2× 384 2× 1.5 1,600 2× 76.8 No 0.6912 No 1.0 520 Deskside or 3U rack-mount external GPUs S870 GPU Computing Server [d] May 2, 2007 4× G80 600 ...

  4. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    1.5 1600 76.8 No 0.3456 No 1.0 170.9 Internal PCIe GPU (full-height, dual-slot) D870 Deskside Computer [d] May 2, 2007 2× G80 600 256 1350 — GDDR3 2× 384 2× 1.5 1600 2× 76.8 No 0.6912 No 1.0 520 Deskside or 3U rack-mount external GPUs S870 GPU Computing Server [d] May 2, 2007 4× G80 600 512 1350 — GDDR3 4× 384 4× 1.5 1600 4× 76.8 No ...

  5. SPARC T series - Wikipedia

    en.wikipedia.org/wiki/SPARC_T_series

    small changes in mass storage capacity; SPARC T5. On March 26, 2013, Oracle ... 8× 2.5" SAS Sep 2010 SPARC T4-1 2 1× SPARC T4: 2.85 GHz 256 GB 8× 2.5" SAS

  6. List of Nvidia graphics processing units - Wikipedia

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

    0.5 25.6 28.8 11.2 268.8 Un­known 1.2 60 1800 0.5 1 2 28.8 128 268.8 Unknown 1.1 49 $79 1300 10.4 64 GeForce GT 440 February 1, 2011 GF108 810 1620 1800 3200 0.5 1 28.8 51.2 GDDR3 GDDR5 128 3.2 12.9 311.04 Un­known 65 $100 October 11, 2010 GF106 1170 238 594 1189 1600 1800 3 144:24:24 1.5 3 43.2 DDR3 192 4.86 19.44 342.43 Un­known 56 OEM ...

  7. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    DGX-1 servers feature 8 GPUs based on the Pascal or Volta daughter cards [1] with 128 GB of total HBM2 memory, connected by an NVLink mesh network. [2] The DGX-1 was announced on 6 April 2016. [ 3 ] All models are based on a dual socket configuration of Intel Xeon E5 CPUs, and are equipped with the following features.

  8. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    384-core Nvidia Volta architecture GPU with 48 Tensor cores 6-core Nvidia Carmel ARMv8.2 64-bit CPU 6MB L2 + 4MB L3 8 GiB 10–20W 2023 Jetson Orin Nano [20] 20–40 TOPS from 512-core Nvidia Ampere architecture GPU with 16 Tensor cores 6-core ARM Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 4–8 GiB 7–10 W 2023 Jetson Orin NX 70–100 TOPS

  9. Tesla (microarchitecture) - Wikipedia

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

    So one SM as a whole can execute 8 MADs (16 operations) and 8 MULs (8 operations) per clock, or 24 operations per clock, which is (relatively speaking) 3 times the number of SPs. Therefore, to calculate the theoretical dual-issue MAD+MUL performance in floating point operations per second [ FLOPS sp+sfu , GFLOPS ] of a graphics card with SP ...