We very much appreciate the professional and helpful work done by the AI Builder team, and look forward to collaborations down the road that will lead to improved performance of our genomics tools.
Rafael AldanaProduct Application Director of Sentieon Inc.
Intel team has offered not only the technical consultation to help us optimize the solution but also the professional training of the latest Intel AI technologies in general.
LIU MingqianDirector of Winning Health AI Lab
From a pure R&D perspective it has been very valuable to be able to evaluate the hardware with support from Intel.
Stefan NilssonComputer Vision Specialist, Irisity
Intel AI Builders is definitely one of the most exciting programs, from which we are given access to intel’s hardware supporting the next generation of confidential computing
Lei ZhangDirector of Information Security, iExec
is that shifting from GPU based architectures to Intel Xeon and OpenVINO improved our speeds by several times more than we anticipated. So, it’s been a fantastic journey
Sharath PuranikDirector of Product & Engineering at Stylumia
We were able to learn how to optimize using Intel’s distribution of the OpenVINO toolkit, so that we can infer using a converted IR model. What that meant for us was a significant improvement increase over what we had earlier as a baseline
Shameer ThahaGlobal Chief Strategy Officer, Accubits
The AI Builders team has helped us a lot with benchmarking our translation system and helping to make it really efficient by putting in CPU specific optimizations
Spence GreenCEO of Lilt
By optimizing the AI models that run on Intel's hardware, Deci enables customers to get even more speed, allowing for cost-effective and more general deep learning use cases on Intel CPUs.
Yonatan GeifmanDeci CEO and co-founder
Accelerating model inference using OpenVINO on Intel Xeon CPUs was very insightful for us and we look forward to further collaboration.
Jonathan PirnayTechnical Consultant AI, Fujitsu Germany
Matroid prides ourselves on being able to help enterprises deploy computer vision detectors quickly and easily, on our customer's premises or in the cloud.
Reza ZadehCEO of Matroid & Adjunct Professor at Stanford University
John Snow Labs is excited to put the AI acceleration features of the 3rd Gen Intel Xeon Scalable processors to good use.
David TalbyCTO, John Snow Labs
With Intel’s collaboration and use of AVX512, we reached a 4 fold speedup in the calculation time. Using Intel’s newest chipset AVX512 we were able to speed up CPU-oriented tasks (preprocessing) and also matrix operations (CNNs).
Chris SchneeCMO, MaxQ AI
The incredible flexibility of new 3rd Gen Intel® Xeon® Scalable processors empowers us to select higher throughput versus lower latency by varying the number of streams making Intel technology ideal for batch processing and transactional workloads.
Jaya Kishore ReddyCTO & Co Founder
We strongly believe that AI Builders is the perfect vehicle for creating successful commercial AI solutions.
Ari AaltoVP Technology at TietoEVRY PDS
The resources and the expertise we get from the teams at Intel has really made us understand the power of software tools within the Intel ecosystem.
Anshuman PandeyFounder & CEO of NimbleBox
Our collaboration with Intel AI Builders has literally saved us years of development, in terms of human effort.
Vishal RaiCofounder and CEO of Embold
Thanks to this optimization for multiple use cases we have seen 2 to 3X improvement in performance while not compromising accuracy.
Ganesh IyerCTO of Knowledge Lens
With a high-performance medical application like ours, a major share of the AI workloads are carried out by the Intel® Distribution of OpenVINO™ toolkit.
Chris SchneeCMO, MaxQ AI
The co-operation we had with the Intel AI Builders team was flawless and very professional.
Michal LukáčFounder and Machine Learning Specialist, Ximilar
it's crucial to experiment and iterate quickly and this is something the Intel® AI Builders program enabled us to do.
Agrita GarnizoneHead of Data, Nordigen
The Intel® oneAPI AI Toolkit's PyTorch 1.6 with integrated Intel® oneAPI Deep Neural Network Library delivered up to 11.4X¹ faster inferencing for digital pathology medical screening.
GUI KUNVice President, KFBIO
