Application Infrastructure

UConn and AT&T Partner to Bring a Private 5G Network to Stamford Lab

UConn | April 20, 2021

The University of Connecticut (UConn) and AT&T* are collaborating on the Stamford campus to advance entrepreneurship, innovation, and data science by using AT&T 5G+ millimeter wave and Multi-access Edge Compute (MEC) technologies. The AT&T 5G+ network will allow the university to advance research initiatives that will investigate new use cases and increase entrepreneurial activity.

AT&T's partnership with UConn Stamford, with the assistance of CTNext and StamfordNext, will add 5G capabilities to bolster the UConn Stamford Data Science Initiative, which includes the Stamford Start-up Studio, the UConn Technology Incubation Program (TIP Digital) in Stamford, and the work of a soon-to-be recruited a team of data science research faculty. AT&T and UConn anticipate that the latest resources on the Stamford campus will connect business experience with student and faculty innovation, paving the way for new job opportunities and cutting-edge research.

AT&T's 5G infrastructure will provide UConn Stamford with cellular high-speed access. MEC computing is a wireless network infrastructure that, when combined with 5G+, enables near real-time, ultra-high bandwidth, and ultra-low latency connectivity to wireless mobile applications. Through a private network, 5G and MEC will help connect students, faculty, and university partners. In other words, the technology would enable UConn Stamford to provide advanced experiences and results to students, teachers, and research groups without requiring data to travel to distant data centers.

The addition of AT&T's 5G+ mmWave service will boost and extend Connecticut's innovation ecosystem, enhancing UConn Stamford's capacity to support the state, city, and university. Academic programs and student life should benefit as well, and the socioeconomic effect of this growth should benefit University partners and stakeholders in a meaningful manner.

AT&T and UConn anticipate that the new 5G lab will enable a wide set of technical tools and innovations that will allow the university to extend its work in entrepreneurship and data science. AT&T 5G+-enabled UConn use cases will include:

Entrepreneurship and Innovation Co-op – This program will teach aspiring entrepreneurs how to develop early-stage innovations and technologies for the real estate and construction industries. The 5G technology will assist student entrepreneurs in unleashing their innovation and transforming business operations. Besides, the initiative assists women and minority-owned business innovators by connecting and developing a network of partnerships within the university and throughout the state.

Data Science Tech Incubator – 5G will assist TIP Digital startups in studying and assessing data more quickly and effectively. Real-time processing of patient data so that treatment can be delivered more quickly, as well as better management of extreme weather so that service providers can adapt to power outages more quickly, are examples of use cases. Access to 5G technologies enables TIP Digital firms to evolve more quickly and draw top talent to the field.

Faculty Fellows in Data Science – 5G can be used for analytics and data visualization research in engineering, liberal arts, fine arts, and industry. These data science faculty fellows will collaborate with industry partners to conduct cutting-edge research with the potential for commercialization.

UConn's commitment to Stamford and the business community is accompanied by this initiative. When the lab opens, UConn anticipates partnering with regional companies to expand student activities and opportunities.

About AT&T Communications

We help family, friends, and neighbors connect in meaningful ways every day. From the first phone call 140+ years ago to mobile video streaming, we @ATT innovate to improve lives. AT&T Communications is part of AT&T Inc. (NYSE: T).

About UConn Stamford

UConn Stamford, UConn's largest undergraduate regional campus, is located in the state's most affluent and economically active county and offers a top-ranked research university education in the intimate setting of an urban liberal arts college. Graduate and undergraduate students study business, computer science, digital media and design, and other fields, all while benefiting from the City of Stamford's impressive network of government and business partners. Furthermore, with New York City and everything it has to offer less than an hour away, UConn Stamford's proximity and possibilities for synergized partnerships favor our students and the region. The campus catalyzes entrepreneurship and innovation, leading to social mobility for our students, and economic impact for the region.

Spotlight

Making the decision to use an electronic signature tool is a big step on the way to building an efficient agreement system. But not all e-signature providers are the same. Before you make that step, you want to make sure that you’re lined up in the right direction. Agreements don’t start or end when someone signs on the dotted d

Spotlight

Making the decision to use an electronic signature tool is a big step on the way to building an efficient agreement system. But not all e-signature providers are the same. Before you make that step, you want to make sure that you’re lined up in the right direction. Agreements don’t start or end when someone signs on the dotted d

Related News

Application Infrastructure

Penguin Solutions Certified as NVIDIA DGX-Ready Managed Services Partner

Business Wire | September 28, 2023

Penguin Solutions™, an SGH™ brand (Nasdaq: SGH) that designs, builds, deploys, and manages AI and accelerated computing infrastructures at scale, today announced that it has been certified by NVIDIA to support enterprises deploying NVIDIA DGX™ AI computing platforms under the NVIDIA DGX-Ready Managed Services program. NVIDIA DGX systems are an advanced supercomputing platform for large-scale AI development. The NVIDIA DGX-Ready Managed Services program gives customers the option to outsource management of DGX systems deployed in corporate data centers, including the implementation and monitoring of server, storage, and networking resources required to support DGX platforms. Generative AI requires a completely new computing infrastructure compared to traditional IT, said Troy Kaster, vice president, commercial sales at Penguin Solutions. These new computing infrastructures require services skills, which Penguin is uniquely qualified to support given our extensive experience partnering with some of the largest companies in AI. As a full-service integration and services provider, Penguin has the capabilities to design at scale, deploy at speed, and provide managed services for NVIDIA DGX SuperPOD solutions. Penguin has designed, built, deployed, and managed some of the largest AI training clusters in the world. Penguin currently manages over 50,000 NVIDIA GPUs for Fortune 100 customers including Meta’s AI Research SuperCluster – with 2,000 NVIDIA DGX systems and 16,000 NVIDIA A100 Tensor Core GPUs – one of the most powerful AI training clusters in the world. “AI is transforming organizations around the world, and many businesses are looking to deploy the technology without the complexities of managing infrastructure,” said Tony Paikeday, senior director, DGX platform at NVIDIA. “With DGX-Ready Managed Services offered by Penguin Solutions, our customers can deploy the world’s leading platform for enterprise AI development with a simplified operations model that lets them tap into the leadership-class performance of DGX and focus on innovating with AI.” Advantages of Penguin Solutions powered by NVIDIA DGX include: Design large-scale AI infrastructure combining the most recent DGX systems, ultra-high speed networking solutions, and cutting-edge storage options for clusters tailored to customer requirements Manage AI infrastructure making the most of multiple layers of recent hardware and software, such as acceleration libraries, job scheduling and orchestration Reduce risk associated with investments in computing infrastructure Optimize efficiency of AI infrastructure with best-in-class return on investment. About Penguin Solutions The Penguin Solutions™ portfolio, which includes Penguin Computing™, accelerates customers’ digital transformation with the power of emerging technologies in HPC, AI, and IoT with solutions and services that span the continuum of edge, core, and cloud. By designing highly-advanced infrastructure, machines, and networked systems we enable the world’s most innovative enterprises and government institutions to build the autonomous future, drive discovery and amplify human potential.

Read More

Hyper-Converged Infrastructure, Windows Systems and Network

Rambus Delivers Quantum Safe IP Solutions with Next-Generation Root of Trust for Data Center Security

businesswire | July 13, 2023

Rambus Inc. a premier chip and silicon IP provider making data faster and safer, today announced the first in a family of Quantum Safe security IP products with its next-generation Root of Trust for data center and communications security. Quantum computers will be able to rapidly break current asymmetric encryption, placing important data and assets at risk. The Rambus Root of Trust IP offers customers a complete Post Quantum Cryptography (PQC) hardware security solution that protects valuable data center and AI/ML assets and systems. “To ensure today’s data remains protected into the future, we must implement now security solutions that safeguard against quantum attacks,” said Neeraj Paliwal, general manager of Security IP at Rambus. “This new generation of the Rambus Root of Trust is a flagship product in our Quantum Safe IP portfolio that offers customers complete security solutions for the data center and advanced workloads like generative AI.” “Since 2016, NIST has done pioneering efforts to identify post-quantum cryptographic algorithms which will be better suited for protecting critical government and public infrastructure from entities looking to steal data now to decrypt later using quantum computing,” said Heather West, PhD, research manager of Quantum Computing Research at IDC. “Now that NIST has announced its first four post-quantum computing recommendations, it is important that system designers begin implementing quantum-resistant cryptography to ensure that data and hardware remain secure in the quantum computing era.” Rambus Root of Trust IP with Quantum Safe Cryptography uses the quantum-compute resistant cryptographic algorithms selected by the National Institute of Standards and Technology (NIST): CRYSTALS-Kyber for key-encapsulation and CRYSTALS-Dilithium for digital signatures. In addition, Rambus Root of Trust IP supports the Commercial National Security Algorithm Suite (CNSA) algorithms for software and firmware updates including XMSS/LMS stateful hash firmware signatures, CNSA symmetric-key algorithms, and CNSA quantum-resistant public-key algorithms. About Rambus Inc. Rambus is a provider of industry-leading chips and silicon IP making data faster and safer. With over 30 years of advanced semiconductor experience, we are a pioneer in high-performance memory subsystems that solve the bottleneck between memory and processing for data-intensive systems. Whether in the cloud, at the edge or in your hand, real-time and immersive applications depend on data throughput and integrity. Rambus products and innovations deliver the increased bandwidth, capacity and security required to meet the world’s data needs and drive ever-greater end-user experiences.

Read More

Hyper-Converged Infrastructure, Windows Systems and Network

Solidigm Introduces the World’s Highest Capacity PCIe SSD for Massive Data Storage From Core to Edge

businesswire | July 24, 2023

Solidigm, a leading global provider of innovative NAND flash memory solutions, is proud to announce another industry-first quad-level cell (QLC) solid-state storage drive (SSD) for the data center — the Solidigm™ D5-P5336. Offered in capacities from 7.68TB to 61.44TB, the Solidigm D5-P5336 makes it possible to store up to 6X more data in the same space compared to an all hard disk drive (HDD) array.1 "Modern workloads like AI and capabilities like 5G are rapidly reshaping the storage landscape,” said Greg Matson, VP of Strategic Planning and Marketing at Solidigm. “Businesses need storage in more places that is inexpensive, able to store massive data sets efficiently and access the data at speed. The D5-P5336 delivers on all three -- value, density and performance. With QLC, the economics are compelling -- imagine storing 6X more data than HDDs and 2X more data than TLC SSDs, all in the same space at TLC speed." Built to handle massive amounts of data from the core to the edge, the read performance of the Solidigm D5-P5336 exceeds some of the latest cost-optimized triple-level cell (TLC) SSDs on the market today.2 Artificial intelligence (AI), machine learning (ML), content delivery networks, scale-out network attached storage (NAS), and object storage are all read-intensive workloads that continue to drive enormous volumes of data, regardless of where they reside. Massive scalability and improved TCO across a range of configurations With its high capacity enabling smaller storage footprints, Solidigm’s D5-P5336 enables a lower total cost of ownership and more sustainable infrastructure than all-TLC arrays, SAS HDD arrays, or hybrid arrays. Consider the following, based on a 100PB object “For years there has been debate about endurance and reliability of SSDs, QLC in particular, but Solidigm might have ended that debate with the D5-P5336,” noted Avery Pham, VP Operations, VAST Data. “Any number of applications will see notable benefits from these drives from AI and machine learning to object storage.” "Today, it is clear that the primary constraint for edge workloads is the limitation of bandwidth rather than latency,” said Doug Emby, VP of Sales and Business Development at Cheetah RAID Storage. “Solidigm’s D5-P5336 QLC SSDs offer an impressive combination of capacity, performance, and reliability as a solution to overcome this challenge. The seamless integration of these Solidigm QLC SSDs with Cheetah's high-performance servers makes them highly suitable for the efficient deployment of edge solutions." The D5-P5336 is shipping now in E1.L form factor with up to 30.72TB, with subsequent availability extending to 61.44TB in both U.2 and E1.L later this year. In the first half of 2024, Solidigm will be shipping E3.S form factor with up to 30.72TB. 1 All-HDD capacity based on 12x 3.5” front load bays x 20TB = 240TB. HDD capacity does not factor in any over-provisioning required to meet storage performance needs. All-QLC capacity based on 24x U.2 front load bays x 61.44TB D5-P5336 = 1474TB. Max 2U U.2 based on HPE Proliant DL385 Gen 11 configuration. Max 2U 3.5” HDD bays based on Supermicro 2U SuperServer design. 2 Up to 34% higher throughput than entry TLC SSDs and 20% higher than mainstream TLC SSDs for CDN workload. Comparing 15.36TB Solidigm™ D5-P5336 with read BW of 7.5GB/sec to15.36TB Kioxia CD8-R with 5.6 GB/sec as entry TLC SSD and to 15.36TB Micron 7450 with 6.2GB/sec as mainstream TLC SSD. Workload based on representative customer profile. Test Configuration: Supermicro SYS-120U-TNR, Intel(R) Xeon(R) Gold 6354. Number of CPUs: 2, Cores per CPU: 18 (total 36), DRAM: DDR4 – 64GB, OS: Ubuntu 20.04.5 LTS Linux 5.15.0-67-generic. FIO 3.16. ABOUT SOLIDIGM Solidigm is a leading global provider of innovative NAND flash memory solutions. Solidigm technology unlocks data’s unlimited potential for customers, enabling them to fuel human advancement. Originating from the sale of Intel’s NAND and SSD business, Solidigm became a standalone U.S. subsidiary of semiconductor leader SK hynix in December 2021. Headquartered in Rancho Cordova, California, Solidigm is powered by the inventiveness of more than 2,000 employees in 13 locations worldwide. For more information, please visit solidigm.com and follow us on Twitter and LinkedIn. “Solidigm” is a trademark of SK hynix NAND Product Solutions Corp. (d/b/a Solidigm).

Read More