Newest MLPerf results for Intel Gaudi 2 accelerator and 5th Gen Intel Xeon demonstrate how Intel is raising the bar for generative AI performance across its portfolio and with its ecosystem partners.
Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
DDN Storage Solutions Deliver 700% Gains in AI and Machine Learning for Image Segmentation and Natural Language Processing
DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced impressive performance results of its AI storage platform for the inaugural AI storage benchmarks released this week by MLCommons Association. The MLPerfTM Storage v0.5 benchmark results confirm DDN storage solutions as the gold standard for AI and machine learning applications.
Deci’s Natural Language Processing (NLP) Model Achieves Breakthrough Performance at MLPerf
Deci, the deep learning company harnessing Artificial Intelligence (AI) to build better AI, announced results for its Natural Language Processing (NLP) inference model submitted to the MLPerf Inference v2.1 benchmark suite under the open submission track.
MLPerf Results Highlight More Capable ML Training
Today, MLCommons®, an open engineering consortium, released new results from MLPerf™ Training v2.0, which measures the performance of training machine learning models. Training models empowers researchers to unlock new capabilities faster such as diagnosing tumors, automatic speech recognition or improving movie recommendations. The latest MLPerf Training results demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems to benefit society at large.
Deci Boosts Computer Vision & NLP Models’ Performance at MLPerf
Deci, the deep learning company harnessing Artificial Intelligence (AI) to build AI, announced its results for both Computer Vision (CV) and Natural Language Processing (NLP) inference models that were submitted to the MLPerf v2.0 Datacenter Open division. These submissions demonstrated the power of Deci’s Automated Neural Architecture Construction (AutoNAC) technology, which automatically generated models dubbed DeciNets and DeciBERT, thus delivering breakthrough accuracy and throughput performance on Intel’s CPUs.
MLCommons™ Releases MLPerf™ Inference v1.1 Results
Today, MLCommons, an open engineering consortium, released new results for MLPerf Inference v1.1, the organization’s machine learning inference performance benchmark suite. MLPerf Inference measures the performance of applying a trained machine learning model to new data for a wide variety of applications and form factors, and optionally includes system power measurement.
Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs
Deci, the deep learning company building the next generation of AI, announced a broad strategic business and technology collaboration with Intel Corporation to optimize deep learning inference on Intel Architecture (IA) CPUs. As one of the first companies to participate in Intel Ignite startup accelerator, Deci will now work with Intel to deploy innovative AI technologies to mutual customers.
NVIDIA Advances Performance Records on AI Inference
NVIDIA today announced its AI computing platform has again smashed performance records in the latest round of MLPerf, extending its lead on the industry’s only independent benchmark measuring AI performance of hardware, software and services.