AUCKLAND, NZ – March 27, 2026 – (SeaPRwire) -Edgar Sterling Partners, a premier institutional-grade advisory firm, today announced the launch of its 2026 “Fast Track” initiative for the New Zealand Active Investor Plus (AIP) residency programme. As global investors increasingly seek stability and efficiency, New Zealand has emerged as the preferred destination for high-net-worth families in Singapore, Thailand, Vietnam, Hong Kong, Indonesia, and Malaysia. The 33-Day Residency Revolution In a significant shift for the investment migration landscape, 2026 data reveals that well-prepared applications for the New Zealand AIP programme are currently averaging an “Approval in Principle” (AIP) timeframe of just 33 working days. This speed, combined with the fact that New Zealand does not require an English language test for the Active Investor Plus visa in 2026, has created a unique window of opportunity for Asian families looking for global mobility without the traditional bureaucratic hurdles. Institutional-Grade Strategy for Global Families Edgar Sterling Partners specializes in bridging the gap between international wealth and New Zealand’s disciplined regulatory framework. The firm offers two distinct, portfolio-driven pathways: The Growth Alpha Portfolio: a NZD $5 million investment with a 3-year term and a minimal 21-day physical presence requirement. This strategy focuses on high-growth sectors including Future Tech, AI, and Renewable Energy. The Balanced Anchor Portfolio: a NZD $10 million investment with a 5-year term. This pathway prioritizes wealth preservation through the NZX 50 and offers the immediate “Lifestyle Perk” of eligibility to apply for residential property purchase consent for homes valued over NZD $5 million. A Commitment to Transparency “We act as the insurance policy for our clients’ government investments,” says Steve Jones, a Director of Edgar Sterling Partners. “By operating a strict ‘Fee-Only’ model, we ensure our interests are 100% aligned with the security of our clients’ capital and the success of their residency”. Edgar Sterling’s proprietary “Unbroken Chain” forensic audit process ensures that Source of Wealth (SOW) and Source of Funds (SOF) documentation meets the highest standards of Immigration New Zealand, significantly reducing the risk of processing delays. About Edgar Sterling Partners Edgar Sterling Partners provides integrated wealth structuring, portfolio design, and residency coordination from its headquarters in Auckland, New Zealand. The firm serves globally mobile families across Asia, the Middle East, and Europe, ensuring that New Zealand residency allocations align with global asset objectives and family succession goals. Media Contact: Edgar Sterling Partners Level 8, 139 Quay Street Auckland 1010, New Zealand +64 9 243 0538 media@edgarsterling.com www.edgarsterling.com

NORTHAMPTON, MA – 22/03/2026 – (SeaPRwire) – As the global technology sector faces increasing pressure to innovate while addressing talent shortages, companies are turning to more inclusive strategies to shape the workforce of the future. Everpure, through its social impact initiatives, is advancing this shift by building structured pathways for underrepresented women to access and thrive in technology careers. At the center of this effort is a growing partnership between Everpure and Rewriting the Code (RTC), a nonprofit organization dedicated to supporting women in tech from diverse and historically excluded backgrounds. Together, they are addressing systemic gaps in representation, access, and early-career engagement—challenges that continue to limit both innovation and equity across the industry. The technology sector has long struggled with gender imbalance, particularly in technical roles. Limited access to opportunities, insufficient representation, and fragmented connections between academia and industry have contributed to a persistent gap. Everpure identified these challenges as critical barriers not only to social progress but also to sustainable business growth. To address these issues, Everpure, supported by the Pure Good Foundation, has implemented a multi-dimensional approach focused on experiential learning, mentorship, and financial investment. The initiative is designed to engage high-potential students early in their academic journeys, equipping them with the resources, networks, and confidence needed to transition into the workforce. RTC emerged as a strategic partner capable of bridging the gap between education and industry. What began as a modest volunteer effort has evolved into a comprehensive program that connects Everpure employees and executives with RTC members through conferences, mentorship programs, networking events, and career development initiatives. A defining feature of the collaboration is its emphasis on sustained engagement. Beyond providing funding, Everpure actively participates in RTC-led initiatives, hosting campus visits, contributing to executive panels, and facilitating mentorship opportunities tailored to students’ academic and career stages. This hands-on approach has enabled the company to build meaningful, long-term relationships with emerging talent. The impact of the partnership is evident in both qualitative and quantitative outcomes. Students gain exposure to real-world technology environments, including direct interaction with industry leaders and participation in major conferences. These experiences not only enhance technical understanding but also foster confidence and a stronger sense of belonging in a traditionally male-dominated field. Events such as Pure//Accelerate have become key platforms for experiential learning. Participants engage in keynote sessions, explore innovation showcases, and take part in structured mentoring discussions with senior executives. These interactions provide insights that extend beyond classroom learning, offering a clearer view of career pathways within the technology sector. For many participants, the experience is transformative. Students report increased confidence, expanded professional networks, and a deeper understanding of opportunities within the industry. At the same time, Everpure benefits from early access to a diverse pool of talent, strengthening its recruitment pipeline and enriching its organizational culture with new perspectives. The initiative also delivers value internally. Employees involved in mentorship and engagement activities gain exposure to emerging viewpoints on technology, including perspectives on artificial intelligence and workplace expectations from the next generation. This two-way exchange fosters a culture of continuous learning and innovation. Over time, relationships formed through the program often extend beyond formal events. Participants maintain ongoing connections with mentors and industry professionals, seeking guidance and exploring career opportunities. While direct hiring is not the primary objective, the partnership has naturally contributed to increased recruitment of women into internships and full-time roles. Looking ahead, Everpure and the Pure Good Foundation are exploring opportunities to expand the program’s global reach. With growing engagement in regions such as the United Kingdom, Ireland, and India, the partnership is positioned to scale its impact and further strengthen international talent pipelines. As organizations across industries reassess their approach to workforce development, Everpure’s collaboration with RTC highlights the potential of long-term, community-driven partnerships. By combining financial support, employee engagement, and strategic alignment, the initiative demonstrates how companies can play a meaningful role in shaping a more inclusive and future-ready technology workforce. Ultimately, the partnership reflects a broader commitment to breaking down barriers and creating equitable access to opportunity. As the program continues to evolve, both organizations remain focused on expanding its reach and deepening its impact—reinforcing the idea that meaningful change in the technology sector requires sustained collaboration and shared purpose.

BURLINGAME, CA – 24/03/2026 – (SeaPRwire) – As enterprises accelerate adoption of artificial intelligence in cloud environments, concerns around data exposure during processing remain a critical barrier. Addressing this challenge, DataKrypto has introduced its FHEnom for AI solution on Google Cloud Marketplace, marking a significant step toward enabling secure, end-to-end encrypted AI operations at scale. The availability of FHEnom for AI on Google Cloud Marketplace follows DataKrypto’s participation in the Google Cloud ISV Startup Springboard program, signaling a deepening collaboration between the two companies. The integration allows organizations to deploy AI workloads with enhanced security assurances while leveraging Google Cloud’s global infrastructure. At the core of DataKrypto’s offering is a continuous encryption framework designed to eliminate the “cleartext gap” that typically arises when AI systems process data. By combining fully homomorphic encryption (FHE) with Trusted Execution Environments (TEEs), FHEnom for AI enables computations to be performed directly on encrypted data, ensuring that sensitive information, models, and outputs remain protected throughout the entire AI lifecycle. This approach introduces a new paradigm for Confidential AI, where encryption is not applied selectively but embedded as a persistent property of the architecture. As a result, enterprises can maintain control over their data from ingestion and model training to inference and real-time processing, even in shared or cloud-based environments. With the solution now accessible via Google Cloud Marketplace, organizations can more confidently adopt AI-driven applications while meeting stringent regulatory and compliance requirements. The platform supports secure workflows aligned with frameworks such as HIPAA and GDPR, making it suitable for industries handling highly sensitive data. FHEnom for AI is designed to address longstanding challenges that have limited enterprise adoption of cloud-based AI, particularly in regulated sectors. Leveraging Google Cloud’s scalable infrastructure, the solution transforms the cloud into a confidential execution environment where both data and models remain continuously encrypted—even in scenarios where underlying systems may be compromised. Key capabilities of the platform include enabling real-time AI inference on encrypted data without significant performance trade-offs, supporting a TEE-agnostic architecture compatible with hardware technologies such as Intel TDX and AMD SEV, and integrating seamlessly into existing development pipelines. This allows organizations to deploy Confidential AI solutions without extensive reconfiguration of their current systems. Industry stakeholders note that the combination of advanced cryptographic methods and cloud-native scalability represents a meaningful advancement in AI security. By embedding encryption directly into the computation process, DataKrypto’s solution helps reduce operational complexity while strengthening trust in AI outcomes. Through its participation in the Google Cloud ISV Startup Springboard program, DataKrypto has been able to accelerate the development and deployment of its technology. The program is designed to support emerging companies in leveraging Google Cloud’s AI capabilities, enabling them to deliver innovative solutions to enterprise customers. FHEnom for AI is now available for deployment, offering organizations a pathway to build and scale AI systems with enhanced security, compliance, and operational confidence. About DataKryptoDataKrypto develops cryptographic infrastructure for Confidential AI, focusing on eliminating vulnerabilities in traditional AI processing workflows. Its flagship solution, FHEnom for AI, ensures that data, models, and computational outputs remain encrypted at all times, enabling secure AI operations without exposing sensitive information. By making encryption a continuous and inherent feature of AI architecture, DataKrypto aims to redefine how organizations approach data protection in intelligent systems.

BASSETERRE, KN – 10/03/2026 – (SeaPRwire) – As digital assets, traditional banking services, and global payment networks continue to evolve independently, individuals and businesses that operate internationally often face a fragmented financial landscape. Addressing this challenge, the VALYGO platform has officially launched, introducing a unified financial environment designed to consolidate multiple financial functions into a single operational framework. Modern financial activity frequently requires users to rely on separate systems for cryptocurrency management, fiat transactions, payment processing, and cross-border transfers. This fragmentation can slow financial operations, create administrative complexity, and increase operational friction for professionals and companies conducting business across multiple jurisdictions. VALYGO enters this space with the goal of simplifying financial workflows by bringing these capabilities together within one structured platform. A Platform Designed Around Real Financial Workflows Rather than focusing on a single financial service, VALYGO has been designed around the way individuals and businesses interact with money in real-world scenarios. The platform enables users to operate within a connected account environment where several financial functions can coexist and interact. Through the platform, users are able to manage digital assets alongside supported fiat services, conduct card-based transactions both online and at physical merchants, and execute cross-border transfers without relying on multiple external systems. In addition, supported ATM access provides another method for interacting with funds. By integrating these services into one platform environment, VALYGO aims to reduce the need for users to shift between different tools and platforms, helping create greater continuity in everyday financial activity. Supporting Cross-Border Financial Participants The platform has been developed with internationally active users in mind. Freelancers who invoice clients abroad, remote professionals earning income from multiple regions, and businesses maintaining relationships with clients across different countries often require financial infrastructure capable of supporting complex payment flows. VALYGO’s structure seeks to address these needs by providing an operational environment where payments, asset management, and account access can function within a single system. Individuals who frequently interact with both cryptocurrency and traditional financial services may also find value in the platform’s integrated structure. Flexible Account Models for Different Operational Needs Recognizing that users operate at varying scales, VALYGO offers multiple account tiers designed to accommodate different levels of financial activity. This structured approach allows participants to select an account model aligned with their operational requirements. Entry-level access is available for users with more basic needs, while higher-tier accounts provide expanded functionality and may involve participation through the VYO ecosystem component. By offering tiered access, the platform seeks to provide scalability without imposing identical requirements on all participants. VYO Utility Within the Platform Ecosystem Within the VALYGO ecosystem, VYO functions as a utility component connected to platform participation. Its use cases include enabling access to certain account tiers, supporting staking participation, and linking token utility with platform functionality. Rather than existing independently from the platform environment, VYO is designed to operate as part of the broader ecosystem infrastructure, aligning user participation with the system’s operational structure. Transitioning from Development to Active Use With the platform now live, users are able to engage with VALYGO under real operating conditions. The launch represents the transition from development and system design to practical usage. While future updates and improvements may continue as the platform evolves, the current release establishes the foundation for users to interact with a financial environment that brings together digital assets, payment tools, and supported fiat services within a single operational framework. A Unified Operational Layer for Modern Finance VALYGO does not position itself as a traditional bank replacement, a trading platform, or solely a cryptocurrency wallet. Instead, it presents itself as an integrated operational layer intended to connect several financial functions—ranging from crypto access and supported fiat services to payment infrastructure and account management—within one unified environment.

PALO ALTO, CA – 14/03/2026 – (SeaPRwire) – Clockwork.io has announced the general availability of TorchPass Workload Fault Tolerance, a new capability designed to improve resilience in large-scale artificial intelligence training environments. The software-based solution aims to reduce the operational disruption and financial losses associated with infrastructure failures in distributed GPU clusters. TorchPass is delivered as a core feature within the Clockwork.io FleetIQ platform. The technology applies the company’s Software-Driven AI Fabrics architecture to distributed training workloads, enabling systems to continue operating even when GPU hardware, network links, or cluster nodes encounter failures. By leveraging Live GPU Migration, the platform can transparently shift active training workloads to available resources without requiring job restarts or checkpoint recovery. According to Suresh Vasudevan, the cost of infrastructure interruptions has become a growing challenge for organizations investing heavily in AI computing resources. “Companies are investing billions in next-generation accelerators, yet distributed AI workloads still lose significant productivity due to avoidable infrastructure faults,” Vasudevan said. “TorchPass was designed to address that gap by allowing training workloads to continue operating through failures rather than forcing expensive restarts.” Industry observers have also noted that reliability becomes increasingly difficult as AI clusters scale. Dylan Patel said that maintaining continuity across large GPU deployments is becoming critical as new hardware architectures increase cluster density. “As systems scale to larger compute domains, even minor errors—such as a single GPU failure or a network disruption—can terminate an entire training run,” Patel said. “Technologies like TorchPass help maintain utilization by enabling transparent failover and live workload migration.” Addressing Reliability Challenges in Distributed AI Training Distributed AI training is widely recognized as one of the most complex and failure-prone workloads in modern computing infrastructure. Research conducted by Meta FAIR indicates that the mean time to failure decreases sharply as cluster sizes increase. In clusters with more than a thousand GPUs, interruptions can occur within hours, frequently forcing jobs to restart from checkpoints. These interruptions often result in lost compute time and reduced GPU utilization. When failures occur, training systems typically roll back to the latest saved checkpoint, discarding recent progress and requiring additional time to restore workloads. TorchPass is designed to mitigate these inefficiencies by addressing faults proactively and maintaining workload continuity. By reducing restart events and preserving training progress, the system aims to improve cluster utilization and reduce operational overhead for enterprises and AI cloud providers. Live GPU Migration Enables Continuous Training The key mechanism behind TorchPass is Live GPU Migration, which enables affected training processes to move dynamically to spare resources within the cluster when faults occur. The migration process typically completes in approximately three minutes while the overall training workload continues to operate. TorchPass supports three primary resilience scenarios: Unplanned migration, which responds to unexpected failures such as GPU faults, kernel crashes, or power disruptions Pre-emptive migration, triggered by early warning signals including thermal anomalies or ECC memory errors Planned migration, allowing infrastructure maintenance or workload balancing without interrupting training operations According to the company, this approach can reduce wasted training progress by up to 95 percent in certain environments. Independent Testing Highlights Performance Benefits Independent benchmarking conducted by Jordan Nanos evaluated TorchPass in large-scale training scenarios. Testing involved a GPT-scale training workload using a Kubernetes-based cluster equipped with 64 H200 GPUs. The evaluation measured job completion time and model FLOPs utilization against both traditional checkpoint-restart methods and the open-source fault-tolerance framework TorchFT. The results indicated that TorchPass achieved faster recovery after simulated hardware failures while maintaining higher GPU utilization rates. The benchmark also suggested that by improving fault tolerance, organizations may be able to reduce checkpoint frequency in training pipelines. This can enable larger batch sizes, lower memory pressure, and simplified storage management. Financial Impact for Large AI Clusters For operators managing large GPU deployments, improved reliability can translate into significant cost savings. Clockwork.io estimates that in a typical deployment using 2,048 H200 GPUs, TorchPass could recover more than $6 million in annual compute value by preventing wasted GPU hours caused by restart-driven downtime. These savings primarily result from avoiding repeated training interruptions and eliminating idle recovery periods. By maintaining continuous training progress, organizations may also accelerate the time required to complete large model training runs. Supporting Next-Generation AI Infrastructure Clockwork.io positions TorchPass as part of a broader effort to make reliability a software-defined capability within AI infrastructure. This approach is designed to support emerging high-density systems, including architectures built around GPUs such as the NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72. TorchPass expands on the company’s earlier Network Fault Tolerance capabilities, which address network-level disruptions by rerouting traffic around failing links. Together, these technologies form the foundation of Clockwork.io’s Software-Driven AI Fabric, a vendor-neutral software layer designed to coordinate compute, network, and storage resources across large AI clusters. The goal is to enable operators to run heterogeneous infrastructure as a unified system while maintaining predictable performance and high utilization. Clockwork.io will present TorchPass during the upcoming NVIDIA GTC conference from March 16 to 19. About Clockwork.io Clockwork.io develops Software-Driven AI Fabrics, a programmable software layer designed to improve observability, determinism, and fault tolerance in large-scale AI clusters. Its FleetIQ platform enables enterprises to train and operate complex AI workloads while maintaining high infrastructure utilization. Organizations including Uber, Wells Fargo, Nebius, and Nscale use Clockwork.io technologies to support AI infrastructure operations.