AI TECH,GENERAL AI,SOFTWARE
Raydiant | January 12, 2023
On January 11, 2023, Raydiant, a leader in-store experiences, acquired Sightcorp and Perch, thereby deepening its AI and computer vision capabilities. Additionally, Raydiant has added hundreds of application partners in order to become the leading in-store experience platform.
The completion of the two acquisitions will add increased capabilities to a single platform, thus enabling retailers to develop dynamic and data-driven experiences that only Raydiant can create. The new groundbreaking capabilities to enhance in-store experience include Lift-and-learn, People AI, Interactive digital signage and an Open application marketplace.
Raydiant revealed that its Raydiant Marketplace now includes hundreds of partner applications, such as virtual try-On platforms PerfectCorp, FaceCake, and Holition; retail media network monetization platforms; inventory and planogram compliance detection; and employee management and gamification. Raydiant has also joined with the leading point-of-sale systems for catalogs, dynamic menus, pricing, and personalization, including Square, NCR, Lightspeed, Toast, PAR/Brink, and Clover.
Six among the top 10 consumer packaged goods firms and six of the top 25 retailers use Raydiant's platform, which drives an average sales growth of 87%. In addition, Business Insider has named Raydiant as one of the top ten most promising startups among venture capitalists.
Raydiant continues to bolster its platform to develop a truly personalized shopping experience that blends the best of digital and physical shopping, therefore enhancing customer engagement and loyalty.
Founded in 2017 and headquartered in San Francisco, California, Raydiant is the prominent in-location experience management platform for the world's leading retail, e-commerce, restaurant, hospitality and banking companies. Its platform enables enterprises to develop customized and engaging end-to-end content experiences that drive more customer and employee engagement, hence boosting client revenue. Raydiant's cloud-based, plug-and-play solution allows clients to design, manage, and expand on-screen experiences across one or one hundred thousand locations, saving them time, resources, and logistical headaches. It works with more than 3,500 brands, from SMB to enterprise, including First Bank, Dickey's BBQ, Harvard University, The Salvation Army, Red Bull, Chick-Fil-A, Thomson Reuters, as well as the U.S. gourmet burger chain, Wahlburgers.
AI TECH,GENERAL AI,FUTURE TECH
NVIDIA | November 17, 2022
NVIDIA today announced a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models.
Azure’s cloud-based AI supercomputer includes powerful and scalable ND- and NC-series virtual machines optimized for AI distributed training and inference. It is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking and the NVIDIA AI Enterprise software suite to its platform.
As part of the collaboration, NVIDIA will utilize Azure’s scalable virtual machine instances to research and further accelerate advances in generative AI, a rapidly emerging area of AI in which foundational models like Megatron Turing NLG 530B are the basis for unsupervised, self-learning algorithms to create new text, code, digital images, video or audio.
The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers.
“AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.”
Manuvir Das, vice president of enterprise computing at NVIDIA
“AI is fueling the next wave of automation across enterprises and industrial computing, enabling organizations to do more with less as they navigate economic uncertainties,” said Scott Guthrie, executive vice president of the Cloud + AI Group at Microsoft. “Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Microsoft Azure.”
Scalable Peak Performance With NVIDIA Compute and Quantum-2 InfiniBand on Azure
Microsoft Azure’s AI-optimized virtual machine instances are architected with NVIDIA’s most advanced data center GPUs and are the first public cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand networking. Customers can deploy thousands of GPUs in a single cluster to train even the most massive large language models, build the most complex recommender systems at scale, and enable generative AI at scale.
The current Azure instances feature NVIDIA Quantum 200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand networking and NVIDIA H100 GPUs. Combined with Azure’s advanced compute cloud infrastructure, networking and storage, these AI-optimized offerings will provide scalable peak performance for AI training and deep learning inference workloads of any size.
Accelerating AI Development and Deployment
Additionally, the platform will support a broad range of AI applications and services, including Microsoft DeepSpeed and the NVIDIA AI Enterprise software suite.
Microsoft DeepSpeed will leverage the NVIDIA H100 Transformer Engine to accelerate transformer-based models used for large language models, generative AI and writing computer code, among other applications. This technology applies 8-bit floating point precision capabilities to DeepSpeed to dramatically accelerate AI calculations for transformers — at twice the throughput of 16-bit operations.
NVIDIA AI Enterprise — the globally adopted software of the NVIDIA AI platform — is certified and supported on Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure instances with NVIDIA H100 GPUs will be added in a future software release.
NVIDIA AI Enterprise, which includes the NVIDIA Riva for speech AI and NVIDIA Morpheus cybersecurity application frameworks, streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Hayden AI | August 17, 2022
Hayden AI, a global leader in artificial intelligence and machine learning technologies, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient.
“We’re thrilled to join Metropolis and incorporate NVIDIA’s vision AI tools into our patented perception platform. “NVIDIA tools enable us to collect and process data at the edge, enhancing our algorithms in real time and helping protect data security by limiting the amount of data transmitted to the cloud.”
Chris Carson, co-founder and CEO of Hayden AI
Hayden AI uses the NVIDIA Jetson edge AI platform to develop AI and machine learning technologies that will revolutionize how governments and businesses solve real-world problems. From bus lane and bus stop enforcement to digital twin modeling and more, Hayden AI customers use its mobile perception system to speed up transit, make streets safer and create a more sustainable future.
“What differentiates Hayden AI’s automated traffic enforcement platform from our competitors is our unique ability to process traffic violations in real time at the edge, making Hayden AI a privacy-first platform,” said Vaibhav Ghadiok, co-founder and Executive Vice President of Engineering at Hayden AI. “Hayden AI strives to continually improve the performance and feature offering to our customers, and NVIDIA software enables faster development cycles, making the transition from development to production seamless."
NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms and using an enterprise-class approach to their solutions. Members have the opportunity to gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations.
About Hayden AI
At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation.