Today, Efficient announced a strategic partnership with GlobalFoundries (GF) to bring to market a new high-performance computer processor that is up to 166x* more energy-efficient than industry-standard embedded CPUs. Efficient is already working with select customers for early access and customer sampling by summer 2025. The official introduction of the category-creating processor will mark a new era in computing, free from restrictive energy limitations.

The partnership will combine Efficient’s novel architecture and technology with GF’s U.S.-based manufacturing, global reach and market expertise to enable a quantum leap in edge device capabilities and battery lifetime. Through this partnership, Efficient will provide the computing power to smarter, longer-lasting devices and applications across the Internet of Things, wearable and implantable health devices, space systems, and security and defense.

Current general-purpose processors are over-designed for generality, with most of their energy consumed by unnecessary internal data movement and instruction control overheads. The Efficient Fabric processor architecture is a paradigm shift, providing reconfigurable hardware at compile time for up to 99% lower DC power without compromising performance, setting a new benchmark for CPUs and creating a new category of ultra-low energy and high-performance processors. Efficient is bringing edge computing capabilities to use cases that were previously impossible due to limited energy availability. When combined with the MRAM and Adaptive Body Biasing (ABB) capabilities of GF’s 22FDX® platform, Efficient is primed to enable its customers to overcome significant barriers in power consumption, facilitating the deployment of devices equipped with advanced capabilities worldwide.

“With energy efficiency at the forefront, our founding mission at Efficient was to reimagine general-purpose computing from the ground up and we are incredibly proud to bring our category-defining general-purpose processor to market,” said Brandon Lucia, Co-Founder and CEO of Efficient. “Partnering with GlobalFoundries was a natural fit and we are confident that together we will empower the world’s most critical industries to embrace the next evolution of energy efficient computing with ease and reliability.”

“We are excited to partner with a brilliant team of engineers at Efficient who are bringing a novel approach to processing architecture and setting a new benchmark for energy-efficient computing using GF’s 22FDX platform,” said Faisal Saleem, Senior Vice President of End-Markets at GF. “Together with Efficient, we will meet a growing market need for ML-enabled intelligent edge devices across various domains that are power efficient and deliver strong computing performance.”

The Efficient Fabric processor conserves energy across various applications, including machine learning-enabled (ML) extreme-edge machine vision, continuous audio intelligence and versatile sensory and signals intelligence. It also allows developers to use their own code, supporting popular embedded languages like C and TFlite at launch, with a roadmap to support many more in the first year, to create sophisticated intelligence applications that incorporate artificial intelligence, ML, signal processing, data analytics and other general-purpose data processing tasks. To learn more about Efficient’s architecture, please visit https://efficient.computer/technology.

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The emergence of cloud computing, or the on-demand availability of computer system resources such as storage and computing power, has provided so much convenience for individuals and organizations worldwide. It has allowed people to access their data from anywhere, as long as they can connect to the internet. Cloud computing has also enabled businesses to have distributed workforces, often involving hybrid and remote work. This has allowed them to access a wider talent pool, as well as continue operations even during disruptions such as the COVID-19 pandemic.

While cloud computing has many benefits, there are also drawbacks, the most prominent of which is reliability. Cloud computing is a centralized technology that relies on data centers, which are often large facilities housing numerous servers. This introduces a single point of failure, where, if a data center is compromised, the entire service often goes down, interrupting operations and negatively affecting clients. This has happened with commercial cloud hosting services several times, such as on February 28, 2017, when Amazon Web Services suffered an outage for several hours, resulting in businesses that rely on AWS, becoming inaccessible.

It was this incident that inspired Mr. Steven He to think of a solution that ensures greater reliability while providing the same convenience as cloud computing. He, who has more than 30 years’ experience in the field of IT, including enterprise software and game development, founded Ubiq, Inc. that same year. The company’s mission is to develop the next generation of network computing. His research and efforts have resulted in several patent applications and grants from the US Patent and Trademark Office, with more patent applications filed in other countries.

Ubiq’s flagship product is UBIQ Network, it’s a next generation cloud computing platform that seeks to solve the reliability issues encountered by traditional cloud hosting services by fostering decentralization. According to He, today’s cloud computing is a deviation from the original goal of the internet, which was based on the US Department of Defense’s ARPANET. During the Cold War, the US wanted to decentralize its information network, preventing its capabilities from being crippled by a singular strike on headquarters.

However, He believes that cloud computing is a move in the reverse direction, reintroducing a single point of failure. Through UBIQ Network, he aims to provide an alternative to traditional cloud computing services, providing exceptional service in terms of reliability and data mobility. Ubiq has been granted patents in both these areas, signifying a major improvement over existing technologies. The company’s motto is SAFER, which stands for Serve All Fairly, Effectively, and Reliably.

With regard to reliability, He explains that it is measured in terms of uptime “nines”, where 99% uptime is “two nines” while 99.9% and 99.99% are correspondingly “three nines” and “four nines”. While four nines seems to be a very high level of uptime, it still corresponds to around 52 minutes of downtime each year. For crucial sectors such as financial services, utilities, and defense, a reliability of five nines is needed, which translates to an average of less than six minutes downtime per year.

According to He, with UBIQ Network’s patented decentralized architecture, it is able to provide a level of reliability commensurate to the client’s needs, even up to five nines and more. With conventional cloud computing, increasing reliability from four nines to five nines entails an exponential increase in cost. However, for UBIQ Network, it is just a linear increase, resulting in more savings for clients. The network now has more than 40 nodes worldwide, primarily in the US, China, Canada, Germany and Hong Kong, with multiple software applications now running on the platform.

Meanwhile, UBIQ Network also provides data mobility to clients. According to He, with conventional cloud computing, a user’s data resides in a data center in a particular locality. If a user is located near the data center, communication is smooth, but this degrades the further they get from the data center. With UBIQ Network, the data moves alongside the user and is stored in a node geographically closest to them. For example, a user on the US East Coast will likely have their data in a networking node located in New York. If they move to Germany, the data can be moved to nodes in Frankfurt or Berlin, ensuring smoother operation.

“Our vision has been continually evaluated and is now coming to reality,” He says. “In the age of centralized cloud computing, UBIQ Network provides an alternative that ensures better reliability and data mobility. It will not replace cloud computing, as cloud computing will not replace supercomputing. However, UBIQ Network overcomes several pain points and inherent weaknesses of cloud computing, providing end users with reliable, safe, high-performance, and cost-effective online services wherever they are.”

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The DCS511 is an open network data center switch powered by the Broadcom Tomahawk 4 chipset, offering 32x400G ports on a single device. It can be deployed as a spine switch supporting 100/400 GbE spine-to-spine or spine-to-leaf interconnects.

This open network switch is equipped with the Open Network Install Environment (ONIE), allowing the installation of compatible Network Operating System (NOS) software, including the open-source Open Network Linux, as well as commercial NOS offerings.

Edgecore’s DCS511 32-port Tomahawk4 switch offers a cost-effective solution for lower-capacity data centers seeking 400G options, providing an alternative to 32x400G Tomahawk3 Spine switch. The new DCS511 fabric offers Switching solution with low density 400G ports for General & AI Compute Datacenter workloads. The DCS511 offers the benefits of less port density, allowing organizations to tailor their network infrastructure to their specific needs, avoid over-provisioning, and reduce unnecessary costs.

Edgecore is committed to exploring the possibilities of data center architectures, delivering future-ready solutions for your AI/ML connectivity needs. Get ready to embrace a faster, high-capacity network with Edgecore’s DCS511 – high-capacity-network switch.

Key Features of the DCS511:

• Up to 16 ports for 400G ZR or ZR+ coherent optics, with a 24-watt power budget per port
• Supports SONiC NOS for webscale and enterprise grade datacenters
• Pre-loaded with the Open Network Install Environment (ONIE) for automated loading of compatible open-source and commercial NOS offerings
• Supports VXLAN routing and bridging compared to TH3 switch
• Supports cognitive routing / GLB / path rebalancing / RoCEv2 over VXLAN feature for AI and LLM (Larger Language Model)

Availability: The Edgecore DCS511 is now available for order. For more information about DCS511, please visit HERE. For more product information, please contact sales@edge-core.com.

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“This internationally-recognized certification from CSA reaffirms CyberArk’s cloud security commitment to organizations across the world,” said Clarence Hinton, chief strategy officer at CyberArk. “CyberArk innovation goes beyond just-in-time access, offering zero standing privileges capabilities for multi-cloud environments. The identity security platform streamlines and safeguards workforce and high-risk user access, like developers, locks down endpoint privileges and protects human and machine credentials in all environments.”

CSA is the world’s leading organization focused on defining and raising awareness about best practices to ensure a secure cloud computing environment. Organizations across the globe recognize the increasing urgency around securing their multi-cloud environments as well as the cloud-based solutions they consume. In a dynamic, AI-powered threat landscape, the Trusted Cloud Provider trustmark is a mark of CyberArk’s identity security leadership and our mission to enable customers to stay ahead of well-funded, innovative cyberattackers by rethinking and modernizing the way in which we secure all identities, both human and machine, with intelligent privilege controls.

“Attaining the CSA Trusted Cloud Provider trustmark is a major accomplishment, showcasing an organization’s commitment to upholding the highest standards in cloud security,” said Jim Reavis, co-founder and CEO of the Cloud Security Alliance. “CyberArk not only meets these stringent requirements but surpasses them, helping customers secure increasingly complex cloud environments.”

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• Combined Fixed Wireless Access (FWA) and satellite connections support in the VMware VeloCloud Edge 710 appliance as well as the new VMware VeloCloud Edge 720 and 740 appliances.
• VMware VeloCloud SASE, secured by Symantec enhancements featuring the integration of VeloCloud and Symantec points of presence (PoPs).
• VMware Edge Compute Stack product enhancements.

According to IDC, worldwide spending on edge computing is expected to be $232 billion in 2024, an increase of 15.4% over 2023. Edge computing is expected to play a pivotal role in the deployment of AI applications. (1) Broadcom is evolving its software-defined edge portfolio to help enterprises address the growth of AI and non-AI workloads at the edge. Edge AI workloads are deployed at geographically dispersed locations to enhance business operations in order to reduce costs, increase sales or improve compliance. Unlike traditional IT workloads which are centralized at the data center, Edge AI workloads such as video inference cameras, industrial control systems, and other OT (Operational Technology) devices and applications are deployed locally and are largely autonomous, they are orchestrated rather than administered, they consume data where it’s being created, and are driven by the lines of business.

Broadcom defines the software-defined edge as distributed digital infrastructure for connecting, securing and running workloads across a number of locations, close to endpoints that are producing or consuming data. It extends to where the users and devices are – in the office, on the road, in a cell site, at a retail store or on the factory floor. Broadcom addresses the three layers of the software-defined edge: the edge compute stack which hosts the applications and workloads; the intelligent overlay where connectivity and security services run across the WAN; and the underlay network layer, which runs the software for network connectivity across fixed and 5G networks to provide orchestration and network programmability.

“We’re focused on enabling enterprises to adopt Edge AI workloads,” said Sanjay Uppal, vice president and general manager, Software-Defined Edge Division, Broadcom. “We’ve announced support for Fixed Wireless Access and satellite connections in VMware VeloCloud Edge to deliver critical, blended connectivity for OT devices as well as AI and non-AI edge workloads. We uniquely offer enterprises a good, better, best approach to connectivity at the edge by allowing them to tweak real-time WAN performance, gain insights from the network, and program the network. This convergence of the underlay network enables enterprises to build networks in minutes to support today’s and tomorrow’s workloads.”

Integrated FWA and Satellite Support to Enhance Connectivity for Edge AI Workloads
To address the need for more robust connectivity to support edge computing and Edge AI workloads, Broadcom today announced enhancements to the VMware VeloCloud Edge 710 appliance as well as introduced new VMware VeloCloud Edge 720 and 740 appliances. VeloCloud Edge 710 now provides enterprises with a combination of broadband, FWA, and satellite connections to significantly improve real-time voice, video, and application traffic – delivering enhanced connectivity at the edge. This blended connectivity provides enterprises with redundant, always-on connectivity for edge devices and workloads. Additionally, Communication Service Providers (CSPs) can use the VeloCloud Edge 710, 720, and 740 appliances to further modernize their infrastructure and monetize their services by delivering a premium, combined SD-WAN, FWA, and satellite offering to enterprise customers in support of their edge deployments. CSPs running both VeloCloud SD-WAN and VMware Telco Cloud Platform benefit from the ability to program the real-time performance of their WAN using insights from their networks. Read more in the blog post, “Unveiling the Future of Networking: VMware VeloCloud SD-WAN Edges 710-5G, 720, and 740.”

PoP Integration Boosts Enterprise Connectivity to the Cloud
To better assist enterprises with cloud connectivity, Broadcom today announced initial integration of VeloCloud SD-WAN points of presence (PoPs) with Symantec PoPs. This integration will further automate cloud access without compromising performance and security. VeloCloud SASE, secured by Symantec customers will also benefit from higher bandwidth and availability, lower latency, and global reach to major cloud and SaaS providers. Earlier this year, Broadcom announced the availability of VeloCloud SASE, secured by Symantec—a single-vendor SASE solution. The solution is a culmination of a joint effort to integrate best-in-class VeloCloud SD-WAN and Symantec Security Service Edge (SSE) capabilities—extending significant benefits to Broadcom’s VeloCloud and Symantec customers.

Simplifying Edge AI Workload Deployment and Lifecycle Management
The distributed nature of the edge produces numerous challenges for enterprises and their respective IT teams—from managing edge devices, applications, and infrastructure across multiple if not hundreds or thousands of locations. Enterprises are investing in solutions that enable zero-touch provisioning and application lifecycle management to accelerate the turnkey deployment of secure edge environments. An edge-optimized runtime and orchestration platform, VMware Edge Compute Stack delivers frictionless management of edge apps and infrastructure across many sites with limited resources. With its latest two releases, VMware Edge Compute Stack delivered critical capabilities to efficiently manage infrastructure and applications including Edge AI apps and workloads such as Small Language Models (SLMs) at dispersed sites, including: 

• Zero-Touch Orchestration: VMware Edge Cloud Orchestrator simplifies deployment and application lifecycle management across multiple sites by leveraging GitOps and desired state management. By automating these processes, enterprises enable consistent and efficient operations, even with limited IT resources.
• Pull-Based Architecture: Hosts always initiate the communication to the management plane as a keepalive, and also to fetch any changes to its configuration. This architecture puts less burden on the management plane, allowing it to achieve a much higher scale.
• Edge Infrastructure and Application Monitoring: It configures metrics gathering and transmission for infrastructure, virtual machines, and Kubernetes-based workloads. Customers can achieve comprehensive local edge monitoring in minutes with the included sample implementation of industry-standard monitoring tools and pre-built dashboards. 

These capabilities simplify deploying and managing Edge AI workloads enabling enterprises to more quickly realize the business benefits of their Edge AI investments. The recent release of VMware Edge Compute Stack 3.6 delivered additional new features to make it even easier to deploy and manage the edge at scale.

For the latest news and more from VMware Explore, the industry’s essential cloud event, visit the VMware Explore 2024 Las Vegas media kit.

Supporting Quote
“We’re aligned with Broadcom’s Edge AI approach,” said Keith Bradley, vice president, IT and Security, Nature Fresh Farms. “We rely on IoT devices at the edge — in our greenhouses and other facilities — to monitor and capture data used to keep millions of growing plants healthy. The 5G and broadband connectivity capabilities of VMware VeloCloud SD-WAN enable us to connect and tie together all our facilities across Canada and the U.S., while VMware VeloCloud SD-Access provides consistent connectivity, performance, and security capabilities to IoT devices deployed in remote locations. With these solutions, we’ve improved our farm-to-fork time to deliver better tasting, higher quality produce to our customers.”

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Imidex, a leading medical device company specializing in utilizing AI for lung nodule and mass detection, and Orbit Genomics, a pioneer in DNA sequencing for precision cancer diagnosis, today announced a strategic relationship aimed at helping to reduce the number of lives lost to lung cancer. Lung cancer is currently the leading cause of cancer-related deaths around the world. 

“Imidex’s technology is one of the only FDA 510(k) cleared devices capable of screening broad populations and incidentally detecting lung nodules and masses from chest x-rays. This positions us as the front-end solution to identify high-risk populations for further evaluation at the lowest cost,” said Wes Bolsen, CEO of Imidex. “By leveraging chest x-ray, we have the ability to opportunistically identify millions more patients with pulmonary nodules that are unwilling or not qualified to get a low dose radiation CT scan.”

Low-dose computed tomography (CT) is currently the standard method for lung cancer screening in high-risk patients in the United States. However, less than 6% of high-risk patients in the U.S. undergo this screening, with some states reporting rates as low as 1%. Chest x-ray (CXR) offers a broader reach for the screening and incidental detection of lung nodules, which are often early indicators of lung cancer. Imidex’s FDA 510(k) cleared VisiRad XR device has demonstrated an 83% sensitivity in detecting lung nodules as small as 6mm in CXRs, positioning it as an important tool for the identification of critical pulmonary findings that are often missed.

Dede Willis, President & CEO of Orbit Genomics, commented, “This is a natural formation of a strategic relationship between two companies focused on the same goal: saving lives lost to cancer. We are preparing to start clinical trials for our first product, OrbiSeq-L, for diagnosing lung cancer in patients with indeterminate pulmonary nodules found through low-dose CT. Imidex’s technology is the top of the lung cancer identification funnel, utilizing chest x-rays rather than CT scans to detect potential cancer patients who might otherwise go undiagnosed. Orbit Genomics can then immediately test those identified lung nodule patients with OrbiSeq-L, providing highly specific insights from a simple blood sample into their condition and directing them to the most effective forms of care.”

The OrbiSeq technology platform extends beyond cancer detection, with applications in a wide range of diseases and conditions, including heart disease and neurological disorders. OrbiSeq uses AI to analyze repetitive DNA which mutates rapidly and reflects overall genome stability, serves as ideal regions of interest for studying age-related diseases and conditions. OrbiSeq also evaluated regions for ethnicity and gender bias, ensuring that products are effective for everyone. Orbit Genomics has demonstrated the ability to detect diseases early and predict drug efficacy in individuals, making the technology a valuable tool for personalized medicine.

This collaboration between Imidex and Orbit Genomics represents a significant step forward in the fight against lung cancer and other complex diseases, with the potential to save countless lives through early detection and intervention.

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“I am ecstatic to announce the launch of FluxAI, a groundbreaking AI application designed to showcase the limitless potential of our latest product FluxEdge. Powered by a decentralized GPU network, it has been meticulously crafted by our global community, resulting in a diverse and scalable infrastructure. After six months of relentless dedication and innovation, we are thrilled to share this cutting-edge technology with the world, and particularly with our passionate Flux community. As FluxAI and FluxEdge continue to thrive and grow, we are confident that this will not only revolutionize the industry but also contribute to the flourishing of the Flux ecosystem.”—Daz Williams, Chief AI Officer, InFlux Technologies.

The launch of FluxAI also introduces a crucial privacy aspect unique to decentralized technologies like InFlux. Unlike conventional AI platforms that exploit users’ data to train and fine-tune their models, FluxAI is 100% private. While conversation histories are preserved for improved interaction and accessibility, user data remains private and is not utilized by the FluxAI model in any way. This is particularly significant for organizations and enterprises dealing with proprietary or sensitive data, as it ensures the utmost privacy and security preventing their data from appearing in future versions.

FluxAI is powered by state-of-the-art, open-source LLMs (large language models), supporting the latest advancements in artificial intelligence. This advanced technology ensures that FluxAI is at the forefront of AI innovation. Furthermore, API integration for the application will be available towards the end of the year, catering to diverse development needs and further expanding the frontiers of AI applications.

The release highlights the multi-faceted offerings of the InFlux ecosystem and showcases the stellar computational capabilities of FluxEdge to power AI applications for businesses and enterprises.

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Product counting and color detection with machine vision

Machine vision is gradually replacing manual inspection because of its efficiency and accuracy in high-speed product inspection, counting, and color and variety identification. The DV-1100 has the performance capabilities for these tasks, with up to 13/12 generation Intel® Core i9 (Raptor Lake-S / Alder Lake-S) processor with 24 cores, the UHD 770 with Intel® Xe architecture for superior GPU image classification inference performance, up to 32GB DDR5 memory (4800MHz), and high-speed NVMe solid-state drives. The DV-1100 also has high-speed I/O interfaces (2.5G LAN and 10Gbps USB3.2 Gen2x1) to connect peripheral devices such as cameras, sensors, and light sources. The DV-1100 has multiple international certifications, including the US UL safety certification and the EMC standard for industrial environments (EN 61000-6-2/4), ensuring uninterrupted and stable operation in harsh environments.

Parking lot license plate recognition

In parking lot management, the license plate recognition system automatically identifies the license plate numbers of vehicles entering and exiting, and controls the entry and exit gates, improving management efficiency and convenience. As the key of the license plate recognition system, the DV-1100’s high computing performance enables real-time image processing, and with a compact size of only 224.1 x 162 x 62 mm, there is no need to worry about limited installation space. Storage needs for large amounts of license plate image data are handled by the DV-1100’s built-in 2.5″ HDD/SSD slot for large-capacity storage. Additional expansion is enabled through M.2 Key B, M.2 Key E, and M.2 Key M slots for adding wireless communication (5G, WiFi, GNSS) and additional storage functions as needed. The DV-1100 also has high-standard industrial-grade protection and supports wide temperature (-40°C to 70°C) and wide voltage (9 to 48 VDC), which is particularly suitable for outdoor parking lot license plate recognition.

Automatic mail sorting machine

Modern postal companies use automatic mail sorting machines with optical character recognition (OCR) technology to quickly classify mail and speed up processing. The DV-1100 can connect to various external devices, such as sensors, cameras, and scanners through its native I/O (2x LAN, 6x USB, 2x COM) and additional I/Os (such as HDMI, DisplayPort, COM, and DIO) added using Cincoze’s exclusive expansion module technology. The DV-1100 also provides multiple industrial protections for automatic mail sorting machines during operation, such as overvoltage, overcurrent, and ESD protection. It also complies with the US military anti-shock vibration standard (MIL-STD-810H), ensuring high reliability and stability in an operating environment with continuous vibrations.

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The Company is grateful for the invaluable contributions she made during her more than 5-year tenure. “On behalf of Tuya, I want to express our deep appreciation to Jessie for her invaluable contributions to Tuya. Since joining in 2019, Jessie has been instrumental in our success, particularly in leading our public listings on the New York Stock Exchange in 2021 and the Hong Kong Stock Exchange in 2022,” said Mr. Xueji (Jerry) Wang, Tuya’s founder, director, and Chief Executive Officer. “Her capital market and financial expertise have been crucial in shaping Tuya’s strategic direction and strengthening our position in the global IoT industry. Additionally, Jessie’s efforts in driving operational optimization and efficiency management have significantly contributed to enhancing our business and financial profitability, even amidst challenging headwinds. We are immensely grateful for her service and wish her the very best in her future endeavors.”

Reflecting on her time at Tuya, Ms. Liu stated, “It has been a tremendous honor to be part of Tuya’s journey. I am proud of what we have achieved, especially our commitment to building a global IoT developer ecosystem. I am grateful to Jerry, the Board, and my colleagues for their trust and support throughout the years. As I prepare to devote more time to my personal endeavors, I remain confident in Tuya’s bright future as a leading global cloud platform service provider.”

Following Ms. Liu’s departure, Mr. Yi (Alex) Yang, a director, co-founder of the Company, will take on the additional role of Chief Financial Officer.

Mr. Yang, who will assume the role of Chief Financial Officer, brings extensive experience in operational leadership, including expertise relating to both business and financial management. As a director and co-founder, Mr. Yang has played a pivotal role in Tuya’s growth since its startup, funding and strategic direction. His deep understanding of our business and related financial operations, combined with his track record in driving efficiency and profitability, positions him well to continue building on the strong foundation laid by Ms. Liu.

The Company remains fully committed to our long-term strategic vision of being a global leader in the smart solution industry. The transition in leadership will not alter our focus on delivering value to our shareholders, enhancing our developer ecosystem, and maintaining our position as a leading cloud platform service provider. The Board and management team are unified in driving Tuya’s growth and ensuring continuity in our financial and operational strategies.

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mimik is focused on bringing advanced AI agents and AI-driven workflow capabilities to the edge enabling more efficient, secure, and privacy-preserving computing ecosystems. The company’s flagship product, mimik ai, is a universal cloud-native operating environment for hybrid edge AI agents. With its core edgeEngine and suite of AI microservices, mimik ai provides an offline-first approach that reduces cloud cost and dependency, multi-AI communication, ad hoc service mesh, and enhanced security and privacy marking a significant leap forward in cross-platform hybrid edge AI.

As part of NVIDIA Inception, mimik ai is poised to accelerate hybrid edge AI agent deployment and seamless workflow automation, integrating effortlessly into NVIDIA’s ecosystem to drive intelligent solutions across industries.

“Joining NVIDIA Inception marks a significant milestone in our mission to unleash hybrid edge AI,” said Fay Arjomandi, founder and CEO of mimik. “This program will help empower us to push the boundaries of what’s possible with hybrid edge AI, so we can ultimately deliver more value to our customers and developers across various industries.”

The program also offers mimik the opportunity to collaborate with industry-leading experts and other AI-driven organizations, fostering new product delivery in the hybrid edge AI space. Sam Miri, CRO at mimik, added, “The resources and network provided by NVIDIA Inception align perfectly with our growth strategy. We’re excited to leverage this opportunity to scale our business and bring the benefits of mimik ai operating environment (mimOE) to a wider range of industries, unleashing a new level of collaboration and context-aware intelligence across NVIDIA platforms. This will drive both industry success and our revenue growth.”

NVIDIA Inception helps startups during critical stages of product development, prototyping and deployment. Every Inception member gets a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, preferred pricing on NVIDIA hardware and software, and technological assistance, which provides startups with the fundamental tools to help them grow.

To learn more about mimik ai, visit https://mimik.com and download mimOE.ai at https://developer.mimik.com. Request a demo or contact our sales team today to experience the future of AI integration with mimik ai.

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