Updated hourlyHourly refreshFri, Sep 11, 2026
SaaS
HONG KONG, Sept. 3, 2026 /PRNewswire/ -- XTrend Speed, a top-ten global professional trading platform, officially announced the renewal of its sponsorship agreement with the Argentine Football Association (AFA). XTrend Speed will continue to serve as AFA's regional fintech sponsor,...
Sep 3 · 09:04·PR Newswire
AI · SaaS
(PR-inside.com) The most significant technology shift in CubeLogic's history - delivering real-time performance, natural language reporting, and AI built directly into the platform. LONDON, UK / ACCESS Newswire / September 3, 2026 / CubeLogic, the leading provider of enterprise risk and compliance software for trading organisations across the energy and commodities sector, today launched Version 12 (V12) of its RiskCubed platform - bringing real-time, AI-powered credit risk management to a market that has long depended on overnight processing. Built on modern, cloud-native foundations, V12 re-architects how RiskCubed stores data, delivers reporting, runs margining and scales to meet demand. For credit teams, that changes ..
Sep 3 · 09:00·PR-Inside
AI · SaaS
The most significant technology shift in CubeLogic's history - delivering real-time performance, natural language reporting, and AI built directly into the platform.
Sep 3 · 09:00·Newswire.com
Finance · AI
WESTFORD, Mass., September 03, 2026--NETSCOUT® SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, expands its data platform to provide the trusted operational context required to build the foundation for enterprise AI. The NETSCOUT data platform observes digital interactions, converts packets into high-fidelity, compact, contextualized evidence in real time, and curates that evidence at scale for observability, service a
Sep 3 · 09:00·mlpr-businesswire
SaaS
SYDNEY, Sept. 3, 2026 /PRNewswire/ -- VT Markets, a leading multi-asset broker, today announced the appointment of Ross Maxwell as Chief Strategy Officer (CSO). Ross will lead the company's long-term strategy across platform development, global business growth, and corporate governance,...
Sep 3 · 09:00·PR Newswire
Crypto · AI
HONG KONG, Sept 3, 2026 - (ACN Newswire) - On September 3, Xunce Technology (3317.HK) officially launched the TokenCloud all-in-one AI model training and deployment computing power platform. As the hardware resources and infrastructure that facilitate the conversion of data resources into tokens, TokenCloud builds a four-tier, synergistic ecosystem based on heterogeneous computing devices, powered by mainstream algorithmic models, fueled by multi-source internal and external data, and serving vertical industry clients. It is dedicated to establishing a full-chain value pathway from data to tokens, enabling every piece of data to securely and efficiently unlock its intelligent value, and helping industries across the board transform data resources into genuine AI productivity.
The launch of TokenCloud marks Xunce Technology’s formal establishment of a full-chain product closed-loop encompassing “computing power—data—tokens—models—applications.” This achievement signifies a leap from a “digital foundation” to an “AI productivity platform,” securing a strategic vantage point in the token economy era while providing the industry with a model for AI infrastructure that bridges the entire “data-to-token” value chain.
Building a Scenario-Driven, End-to-End Closed Loop to Provide Out-of-the-Box AI Infrastructure
As enterprise AI applications shift from “proof of technical feasibility” to “competition in engineering efficiency,” systemic challenges—such as computing power shortages, difficulties in model selection, hardware compatibility issues, challenges in optimized deployment, and significant security concerns—are becoming the biggest bottlenecks hindering AI implementation.
TokenCloud was created precisely to address these pain points. Positioned as the core “hardware and energy foundation” at the upstream of the token industry chain, it adheres to the principle of “ensuring every unit of computing power precisely serves every enterprise AI scenario.” It has built a complete closed-loop process spanning “scenario identification → model selection → hardware matching → training optimization → secure delivery.” Based on business scenarios and tasks, it intelligently recommends the optimal model and matches it with the most suitable hardware. It then uses distillation optimization to enable lightweight, “specialized” models to achieve accelerated inference with high accuracy, all the way through to secure delivery. With each step seamlessly linked, it provides enterprise customers with out-of-the-box AI infrastructure.
In terms of product design, TokenCloud adopts a “full-chain visualization” philosophy, integrating the previously disparate processes of model selection, computing power configuration, security management, and cost assessment in AI deployment into a unified decision-making platform. Comprising five core modules—solution selection, model distillation, data security management, computing power acceleration, and computing resource management—this platform shifts enterprise AI deployment from “rule-of-thumb” approaches to “data-driven decision-making.” It ensures that the return on investment for every computing power allocation is clearly quantifiable, achieving a dynamic balance among performance, cost, and security.
Four Core Capabilities Build Competitive Barriers and Enable Deep Synergy Between Models and Computing Power
The actual value of a token is determined by four key metrics: first-character latency, generation speed, concurrent processing capacity, and service stability. Through Hardware-Software Co-Optimization, TokenCloud enables the large-scale supply of high-quality tokens—ensuring that every piece of data unleashes its maximum token value through the optimal combination of models and hardware.
Specifically, TokenCloud has established industry-leading technological barriers through four core capabilities: a heterogeneous hardware platform, Cloud-Edge Collaboration Architecture, model evaluation and optimization, and secure isolation:
Heterogeneous Hardware Platform—Integrates diverse computing resources such as GPUs, NPUs, FPGAs, and CPUs to enable unified management and intelligent scheduling across architectures. It supports full-scenario coverage ranging from hundreds to tens of thousands of cards, abstracting underlying, disparate hardware resources into unified computing units.
Cloud-Edge Synergy Architecture—Establishes a hybrid deployment model combining “cloud computing power and on-premises computing power,” enabling elastic scaling to handle large-scale training and high-concurrency inference while ensuring that enterprises’ raw data remains within secure domains. This allows enterprises to enjoy cloud computing power while maintaining full data sovereignty at all times.
Model Evaluation and Optimization System—Establishes a comprehensive evaluation framework covering foundational capabilities, scenario adaptation, engineering optimization, and ecosystem value. It supports task-specific distillation optimization, transferring the core capabilities of large models to lightweight scenario-specific models, thereby significantly reducing inference latency and hardware costs while maintaining high accuracy.
Of particular importance is computing power acceleration—while chip computing power continues to rise, actual effective throughput remains far below theoretical peak values. Through end-to-end acceleration capabilities, TokenCloud significantly reduces first-token latency and enhances concurrent processing capacity, transforming acceleration cards from “waiting for computation” to “continuous computation.” This enables enterprises to support larger business volumes without additional hardware, achieving the optimal balance between accuracy, speed, cost, and deployment efficiency, and enabling the large-scale supply of high-quality tokens.
Security Isolation Mechanism—We build a multi-layered security protection system where data visibility is tiered and data flow is fully traceable throughout its entire journey. Highly sensitive data is 100% locked within the enterprise’s local security domain, with a three-pronged approach combining multi-tenant isolation, encrypted transmission, and access control.
Unlike simple computing power rental platforms or model service platforms on the market, TokenCloud achieves deep synergy between models and computing power—the platform centrally determines the degree of model distillation and the hardware for deployment, ensuring the optimal balance of accuracy, speed, cost, and efficiency. It provides enterprise customers with a comprehensive, one-stop service solution—from model selection and hardware matching to distillation optimization—covering the entire “computing power—data—Token—model—application” chain to accelerate the implementation of enterprise AI.
Software and Hardware Synergy Closes the Full-Path Loop; Full-Stack AI Products Accelerate Industry Adoption
The launch of TokenCloud has enabled Xunce Technology’s full-path product ecosystem to form a complete commercial loop. Previously, the company had introduced the world’s first TokenOS operating system; the two systems have clearly defined roles and operate in synergy.
TokenOS focuses on data capabilities, transforming enterprises’ multi-source, heterogeneous data into standardized scenario-based Tokens in real time, thereby addressing the issue of “data usability.” TokenCloud focuses on model training and deployment, as well as “data + model” integration capabilities. It integrates computing power scheduling, model inference optimization, and the refinement, tuning, and orchestration of enterprise-level small models, bridging the entire chain from data ingestion to application deployment and providing hardware service support for Token generation.
Through this synergy between software and hardware, combined with the underlying AIDP data resource processing service system and the top-level TokenRouters model outcomes service and scenario integration and exchange center, the two solutions together form a complete “computing power—data—Token—model—application” closed-loop ecosystem. This enables enterprises to significantly reduce deployment costs and improve matching efficiency through the synergy of computing power, data, and models. Xunce Technology has also undergone a comprehensive upgrade from an AI real-time data infrastructure service provider to an integrated AI-to-B infrastructure service provider.
Furthermore, Xunce Technology has partnered with multiple domestic GPU manufacturers to focus on the integration of “computing power and data.” As the localization of the full AI stack enters the stage of systematic engineering optimization, TokenCloud has become a key hub connecting domestic heterogeneous computing power with enterprise AI applications, offering significant strategic value within the ecosystem.
Currently, the company has expanded into eleven high-value industries, including finance, telecommunications, power, energy, high-end manufacturing, biomedicine, robotics training, commercial space, urban operations, the low-altitude economy, and smart vehicles. In the first half of 2026, the Token business model was successfully implemented in high-value scenarios such as biomedicine, energy dispatch, and industrial quality inspection, laying the groundwork for cross-industry replication.
The ultimate goal of computing power is not to simply stack chips, but to ensure that every piece of data can be securely and efficiently converted into token value. As AI transitions from the “model competition” phase to the “deployment competition” phase, enterprises need not isolated computing power or isolated models, but rather an integrated infrastructure capable of combining computing power, data, and models to truly adapt to enterprise business scenarios. Positioned as an integrated AI infrastructure, TokenCloud enables computing power to serve models, models to serve scenarios, and scenarios to generate value, thereby laying a solid computing power foundation for the AI transformation of China’s myriad industries.
Copyright 2026 ACN Newswire. All rights reserved. www.acnnewswire.com
Sep 3 · 09:00·mlpr-acnnewswire
AI · SaaS
PARIS, September 03, 2026--Firms in France are placing AI and data-intensive workloads in more controlled private and hybrid clouds to meet sovereignty requirements, ISG says.
Sep 3 · 08:00·mlpr-businesswire
AI · SaaS
Fangzhou Inc. announced today that its “AI + Chronic Care” platform has been named to the 2026 Fortune China Best Designs list.
Sep 3 · 07:50·GlobeNewswire
SaaS
JAKARTA, Sept 3, 2026 - (ACN Newswire) - Garuda Indonesia is offering 170,845 domestic roundtrip seats at no additional fare to eligible international passengers flying to Indonesia from 14 origin cities across 10 countries, as the national flag carrier seeks to encourage travellers to extend their journeys beyond the country’s main international gateways.
Available for travel from 1 August to 30 November 2026, the Free Domestic Flight program connects Garuda Indonesia’s international network with destinations across the archipelago, allowing eligible passengers holding roundtrip international tickets to Indonesia to add a domestic roundtrip journey as part of their itinerary.
Carrying the spirit of #DiscoverMoreIndonesia, the initiative is designed to encourage international arrivals to visit more than one destination during a single trip, supporting longer stays and a wider distribution of tourism spending beyond major gateways such as Jakarta and Denpasar.
The program also provides additional connectivity for members of the Indonesian diaspora, Indonesian migrant workers and Indonesian citizens returning from overseas who wish to continue their journeys to their home regions or other destinations across the country.
Garuda Indonesia Marketing Group Head Prina Eka Putri said the initiative strengthens Indonesia’s travel proposition by combining the airline’s international reach with the breadth of its domestic network.
“Indonesia offers far more than a single destination. By making onward domestic travel easier, we want international travellers to stay longer, explore more regions and experience more of what Indonesia has to offer,” Prina said.
She added that the integration of international and domestic connectivity provides Garuda Indonesia with a differentiated proposition as regional destinations compete for international visitor traffic.
“The proposition is simple: come to Indonesia, then discover more of Indonesia. Our network allows us to make that journey increasingly seamless and valuable for travellers,” she said.
Garuda Indonesia Southeast Asia Branch Manager and Head of the Free Domestic Flight Project Management Office Agny Gallus Pratama said the allocation of more than 170,000 seats was designed to increase the potential economic value generated by each international arrival.
“The opportunity is not only to bring more travellers into Indonesia, but to enable each arrival to reach more destinations,” Gallus said. “When visitors travel further and stay longer, the economic impact can extend to hotels, restaurants, local transportation, tourism operators and MSMEs across the regions.”
By connecting international traffic more directly with its domestic network, Garuda Indonesia expects the program to help disperse visitor flows and tourism spending more widely across Indonesia.
The initiative also supports the airline’s competitiveness in international markets by leveraging the breadth of its domestic network to offer travellers easier access to multiple destinations within a single Indonesia itinerary.
Through this international-to-domestic connectivity, Garuda Indonesia aims to create greater value from each international arrival while enabling more destinations and local tourism ecosystems to benefit from the movement of international travellers.
Further information on eligibility, booking procedures, participating flights, travel periods, available routes and terms and conditions is available through Garuda Indonesia’s official Free Domestic Flight webpage.
PT GARUDA INDONESIA (PERSERO) Tbk
CORPORATE COMMUNICATIONS
Media Contact:
corpcomm@garuda-indonesia.com
Website: garuda-indonesia.com | Instagram: @garuda.indonesia
Copyright 2026 ACN Newswire. All rights reserved. www.acnnewswire.com
Sep 3 · 07:09·mlpr-acnnewswire
SaaS
The certification confirms that the platform holding sensitive cybersecurity program information for organizations across the Defense Industrial Base now meets the same standard the government sets for its most sensitive unclassified systems. [PR.com]
Sep 3 · 07:00·PR.com
Finance · SaaS
Cette évaluation indépendante offre aux forces de l'ordre, aux agences de défense et de sécurité nationale australiennes une plateforme leur permettant de collaborer et de gérer les preuves numériques dans le cloud de manière rapide et sécurisée TYSONS CORNER, Virginie, et PETAH TIKVA,...
Sep 3 · 06:53·PR Newswire
SaaS · Healthcare
(PR-inside.com) SYDNEY, AU / ACCESS Newswire / September 3, 2026 / Investing Platform, the home of brand-new property in Australia, is turning its spotlight on Wollongong, the fourth-largest urban area in New South Wales by population, where the NSW Government has finalised a 25-year strategy for the Wollongong Health Precinct and will lead a rezoning of the 50-hectare precinct to unlock up to 1,000 new homes and 10,000 new jobs. The rezoning proposal is expected to be exhibited for public feedback later in 2026, building on $21.9 million committed to upgrade Wollongong Public Hospital and a further $220 million earmarked for ..
Sep 3 · 06:30·PR-Inside