Follow Datanami:

Tag: GPU

AWS Leans on Custom Silicon for Processing Advantage

Dec 21, 2020 |

You may know Amazon Web Services as a leading provider of public cloud services. But it’s also investing substantial sums into designing its own line of custom chips that can save customers a lot of money compared to Intel X86 and Nvidia GPU processors, for general purpose, as well as analytical and AI workloads

According to Raj Pai, vice president of AWS EC2 product management, tells Datanami that AWS customers will see a 40% price-performance increase when they adopt the sixth-generation EC2 instance, which is powered by a custom-designed Graviton2 processor that’s equipped with 64-bit Arm Neoverse cores. Read more…

Optimizing AI and Deep Learning Performance

Nov 26, 2020 |

As AI and deep learning uses skyrocket, organizations are finding they are running these systems on similar resource as they do with high-performance computing (HPC) systems – and wondering if this is the path to peak efficiency. Read more…

Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks

Jun 25, 2020 |

Apache Spark 3.0 is now here, and it’s bringing a host of enhancements across its diverse range of capabilities. The headliner is an big bump in performance for the SQL engine and better coverage of ANSI specs, while enhancements to the Python API will bring joy to data scientists everywhere. Read more…

SQream Raises Funds to Expand its Analytics Push

Jun 24, 2020 |

SQream Technologies, the GPU database vendor, has attracted new investors while adding several financial backers to its board of directors.

The Tel Aviv-based database vendor said Wednesday (June 24) it raised $39.4 million in a Series B+ funding round led by Mangrove Capitol Partners and Shusterman Family Investments. Read more…

Nvidia Destroys TPCx-BB Benchmark with GPUs

Jun 22, 2020 |

Traditionally, vendors have used CPU-based systems for the TPCx-BB benchmark, which simulates a Hadoop-style workload that mixes SQL and machine learning jobs on structured and unstructured data. So when Nvidia ran the benchmark on its new Ampere class of GPUs system, the results were predictably grim – for CPU systems, that is. Read more…

Solar Data Analytics Approaches Warp Speed

Jun 19, 2020 |

Data scientists at NASA are employing GPU-powered workstations and local storage to greatly accelerate analysis of images captured by the Solar Dynamic Observatory.

Launched in 2010 to probe our yellow dwarf star and its magnetic field, the solar observatory carries three instruments: Read more…

Spark 3.0 to Get Native GPU Acceleration

May 14, 2020 |

NVIDIA today announced that it’s working with Apache Spark’s open source community to bring native GPU acceleration to the next version of the big data processing framework. With Spark version 3.0, which is due out next month, organizations will be able to speed up all of their Spark workloads, from ETL jobs to machine learning training, without making wholesale changes to their code. Read more…

Deep Learning Has Hit a Wall, Intel’s Rao Says

Nov 13, 2019 |

The rapid growth in the size of neural networks is outpacing the ability of hardware to keep up, said Naveen Rao, vice president and general manager of Intel’s AI Products Group, at the company’s AI Summit yesterday. Read more…

OmniSci ‘Hitting Its Stride,’ CEO Says

Oct 25, 2019 |

Aaron Williams, the vice president of community for OmniSci, loves doing live demos. Like a trapeze artist who works without a net, Williams shows no fear as stands on the stage and fires off queries from OmniSci’s GUI client to a massive database with over 10 billion rows of data running in GPU memory. Read more…

Inside OmniSci’s Plans for Data Analytics Convergence

Oct 23, 2019 |

You may know OmniSci as the provider of a fast SQL-based database that runs on GPUs. But the company formerly known as MapD is moving beyond its GPU roots and is building a data platform that runs on CPUs and does machine learning too–a vision that it shared at its inaugural Converge conference in Silicon Valley this week. Read more…

Do NOT follow this link or you will be banned from the site!