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标题
图像:Accenture
Accenture clients improve their total cost of ownership and performance by using best-in-class hardware and software from Intel.
图像:Aible
Aible significantly improved the performance of their machine learning code to analyze larger datasets on the same size compute resources.
图像:Alibaba Cloud
Alibaba Cloud* and Intel collaborated to help customers accelerate their online service using Intel technology.
图像:Anodot
With Intel IPP, Anodot saw results of 127x faster training performance and 66% reduction in overall cost.
图像:Arcvideo Tech
Arcvideo Tech builds a high-performance media pipeline on Intel® Data Center GPU Flex Series GPU.
图像:Argonne
Code portability shows application performance improvements on Argonne's development systems using Intel® Data Center GPU Max Series.
图像:Argonne National Laboratory
Argonne National Laboratory sees encouraging early application performance results on development systems using Intel® Max Series products.
图像:AskUI
This collaboration with Intel centered on optimizing state-of-the-art computer vision models for the UI Automation tool.
图像:ASUS
Intel® software optimization tools enhanced performance in distributed machine learning environments without compromising data privacy.
图像:Bilic
This joint effort includes integrating an advanced AI model and co-creating a robust, intelligent system for fraud detection.
图像:BioDataAnalysis GmbH
BioDataAnalysis GmbH uses Intel® oneAPI Data Analytics Library (oneDAL) for supervised object labeling in biological image analysis.
图像:Boston IT Solutions India
Implementing Intel® tools delivered a significant decrease in power use for each AI application to meet sustainability goals for the future.
图像:byteLAKE
Intel® technologies helped byteLAKE optimize AI product performance and ensure consistency across edge devices, servers, and HPC infrastructures.
图像:Deci.ai
YOLO-NAS Pose brings real-time pose estimation to the forefront—perfect for applications demanding quick, accurate AI insights.
图像:Delphai
The Intel AI solution powered by oneAPI helped Delphai improve performance for its multilingual translation model by up to 6.25x.
图像:Dive Solutions GmbH
Dive achieved 1.5x speedup in vectorization using Intel® CPU and Intel® toolkits.
图像:Durham University
The added value and big promise behind oneAPI is that we get one programming model for all parts of the machine.
图像:GE Healthcare Testimonial
Using Intel® oneAPI Base Toolkit, GE Healthcare migrated code to SYCL for an ultrasound diagnostics solution that requires heavy processing.
图像:Google Cloud Platform Service Testimonial
Collaborating with Intel and using the Intel® HPC Toolkit has helped our customer engineers understand in depth of our customers' HPC workloads.
图像:Guise AI
Optimizing helps Guise AI better serve customer needs with powerful, AI-driven Predictive Maintenance and Intelligent Asset Management solutions.
图像:Hewlett Packard Enterprise (HPE) Testimonial
HPE continues a long-standing partnership with Intel and support of oneAPI to provide tools to speed up market delivery.
图像:HippoScreen Neurotech
HippoScreen uses Intel® software optimizations to accelerate AI model build times and build AI pipelines in an efficient and adaptable way.
图像:Hugging Face
Hugging Face makes advancements in AI accessible by using Intel® tools for peak CPU performance, faster model training, and advanced AI deployments.
图像:IBM
Intel and IBM's AI collaboration delivers significant performance gains for enterprises. Integrating optimizations led to quicker response times.
图像:ICURO
ICURO and Intel collaborate in robotics and visual analytical tools, achieving active deep learning and facilitating testing and benchmarking.
图像:Interperformant Systems Ltd.
Interperformant Systems optimized a manually coded algorithm using Intel VTune Profiler to identify problems in the code.
图像:Katana Graph
Katana Graph ran a 1.3-million-cell genomic analysis on an Intel® Xeon® Scalable processor twice as fast as its closest competitor.
图像:L&T Technology Services
With Intel, L&T Technology Services trained, optimized, and deployed a smaller, faster, and cheaper machine learning model on edge devices.
图像:Leibniz Supercomputing Centre
ECHO code models weather events around black holes. Its code is built around SYCL to fully use an Intel® Xeon® processor.
图像:Max Planck Computing & Data Facility
The Max Planck Computing and Data Facility (MPCDF) in collaboration with Intel engineers developed a SYCL back end for Intel GPUs.
图像:Meituan
Meituan increased end-to-end AI and machine learning application processing performance using Intel® Toolkits on Intel® Xeon® platforms.
图像:Microsoft .NET
Microsoft used oneDAL in ML.NET to accelerate AI and machine learning training and inference run times and up to 3x performance improvement.
图像:Microsoft Azure
By integrating Intel® AI optimizations on Intel CPUs, Microsoft Azure was able to accelerate development and deployment of machine learning workloads.
图像:PaddlePaddle
Training and inference with this AI deep learning framework delivered breakthrough performance on Intel® Xeon® processors with oneAPI technology.
图像:Prediction Guard
Using Intel® Gaudi™ 2 architecture improved efficiency and doubled throughput for AI and machine learning use cases.
图像:PyTorch Foundation
As a premier member, Intel brings extensive expertise and commitment to accelerate development and democratization of open source PyTorch.
图像:Red Hat
The Intel® AI Developer Program uses Red Hat OpenShift Data Science and Intel AI software for intelligent applications to edge environments.
图像:SankhyaSutra Labs
Intel® toolkits helped integrate software development, profiling, and deployment into a seamless AI and machine learning workflow.
图像:SAP
Intel VTune Profiler has been an essential tool for the performance analysis and tuning of SAP HANA* on the latest Intel® architecture.
图像:Seekr
Seekr uses Intel® GPUs and Intel® Gaudi® 2 processors to train and serve at scale, large- and medium-size transformers for hybrid AI computing.
图像:University of Birmingham
Using Codeplay's oneAPI plug-ins to migrate SYCL code led to faster simulations and almost 90% strong scaling efficiency in flood modeling software.
图像:XtalPi
By using Intel® toolkits, instruction set optimization, and function substitution, XtalPi improved how its structure comparison tool performs.
图像:YUAN High Tech
YUAN built an optimized video processing platform using Intel® toolkits, Intel® Core™ processors, and OpenVINO™ toolkit for AI and machine learning.
图像:Zoho Corp
Zoho uses oneAPI components to address video quality challenges in video processing workloads for AI and machine learning.
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