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  2. DeepSpeed - Wikipedia

    en.wikipedia.org/wiki/DeepSpeed

    Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under MIT License and available on GitHub. [5] The team claimed to achieve up to a 6.2x throughput improvement, 2.8x faster convergence, and 4.6x less communication. [6]

  3. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms. [24] [25]

  4. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.

  5. Tesla (microarchitecture) - Wikipedia

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

    In this case the formula to calculate the theoretical performance in floating point operations per second becomes: FLOPS sp = 2 × n × f. The theoretical double-precision processing power of a Tesla GPU is 1/8 of the single precision performance on GT200; there is no double precision support on G8x and G9x. [9]

  6. NuVinci continuously variable transmission - Wikipedia

    en.wikipedia.org/wiki/NuVinci_Continuously...

    The NuVinci CVT system has a small number of parts. [5] [6] Most CVTs have lower mechanical efficiency than competitive conventional transmissions.Since any CVT may allow a power plant, human or motorized, to operate at (or closer to) its speed of optimal efficiency, output torque or output power, the NuVinci CVT may improve a system's overall efficiency or performance compared to a ...

  7. Tesla Dojo - Wikipedia

    en.wikipedia.org/wiki/Tesla_Dojo

    During a test, the company stated that Project Dojo drew 2.3 megawatts (MW) of power before tripping a local San Jose, California power substation. [18] At the time, Tesla was assembling one Training Tile per day. [10] In August 2023, Tesla powered on Dojo for production use as well as a new training cluster configured with 10,000 Nvidia H100 ...

  8. List of fastest production cars by acceleration - Wikipedia

    en.wikipedia.org/wiki/List_of_fastest_production...

    Mercedes-AMG GT 63 S E-Performance: 2022 Hybrid 2.8 s [166] 620 kW Bugatti Veyron: 2005 ICE 2.84 s [167] [168] 736 kW McLaren 570s: 2016 ICE 2.9 s [113] 419 kW BMW M5 Competition: 2018 ICE 2.9 s [169] 469 kW Ferrari 488 Pista: 2018 ICE 2.9 s [170] [171] 530 kW Tesla Model S Performance w/Ludicrous Mode 2019 Electric 2.9 s [169] 449 kW BMW M5 CS ...

  9. Tesla next-generation vehicle platform - Wikipedia

    en.wikipedia.org/wiki/Tesla_next-generation...

    In January 2024, Tesla announced that the first car to use significant parts of the next-gen platform architecture and production process could see US deliveries targeting the second half of 2025, but in an existing vehicle initially built on the legacy Model 3/Y platform. [2] [1] In October 2024, Tesla CEO Elon Musk unveiled the "Robotaxi" [7 ...

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