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Malaysian brand details use of 316L stainless steel, implant-grade titanium and coated 925 sterling silver to address tarnishing in high-humidity conditions

KUALA LUMPUR, MALAYSIA – Media OutReach Newswire – 29 September 2026 – Nora Ana Jewelry, a Malaysian jewelry brand founded in 2023, has outlined the material and coating standards applied across its collection of earrings, rings, bracelets and necklaces, which are designed for daily wear in tropical conditions. The brand’s approach addresses a common issue faced by consumers in Malaysia: the accelerated tarnishing and discolouration of fashion jewelry in high-humidity environments.

Tarnishing is the result of oxidation, a chemical reaction between metal and its surrounding environment. Malaysia’s climate presents three conditions that accelerate this process: high year-round humidity, perspiration, and, in coastal areas, salt-laden air. Fashion jewelry produced for temperate markets is typically made from plated brass or alloy, which can discolour in these conditions within weeks.

“Much of the fashion jewelry available to Malaysian consumers is manufactured for markets with very different climates,” said Nora Haniff, Founder of Nora Ana Jewelry. “Our collection is developed specifically for the conditions in which Malaysians wear jewelry every day, including exposure to humidity, water and perspiration.”

Materials and Coatings

Nora Ana Jewelry’s collection is built primarily on three base materials, each selected for its resistance to corrosion and its suitability for sensitive skin:

• 316L stainless steel. A marine-grade steel containing chromium, which forms a passive protective layer against moisture. 316L is widely used in watchmaking and surgical instruments for its corrosion resistance. The brand applies 18K gold plating over this non-reactive base.
• Implant-grade titanium. A chemically inert, nickel-free and biocompatible metal used in medical implants. It is unaffected by water and perspiration and is suitable for wearers with sensitive skin.
• 925 sterling silver. A precious metal with natural hypoallergenic properties. To address sterling silver’s tendency to tarnish, the brand applies an 18K gold layer and a protective e-coating to its sterling silver collection, sealing the surface against oxygen, moisture and perspiration.

In addition to e-coating, the brand uses physical vapour deposition (PVD) coating on selected pieces. PVD bonds the gold finish to the base metal at a molecular level, a process also used in the watch and consumer electronics industries. PVD-coated pieces offer increased resistance to scratching, perspiration and chlorinated water.

“We select metals and coating methods that are proven to withstand the conditions Malaysians live in, and design pieces intended to be worn continuously, including during showering, swimming and exercise,” Nora said. “Basic care, such as rinsing and wiping jewelry after exposure to chemicals, helps preserve the protective coatings over the long term.”

Guidance for Consumers

Nora Ana Jewelry advises consumers to consider three factors when purchasing jewelry intended for daily wear in Malaysia: the base metal, the type of gold finish, and whether any additional protective coating has been applied. Pieces made from unspecified alloy, or without a protective coating, are more likely to tarnish in tropical conditions.

The brand notes that uncoated sterling silver remains a durable option when maintained properly, as it is a precious metal with intrinsic value that can retain its appearance over many years with regular care.

The Nora Ana Jewelry collection is available at https://najewelry.com.my, with worldwide delivery.

Hashtag: #NoraAnaJewelry

The issuer is solely responsible for the content of this announcement.

About Nora Ana Jewelry

Nora Ana Jewelry is a Malaysian jewelry brand founded by Nora Haniff in 2023. The brand designs waterproof, rust-proof and tarnish-resistant jewelry crafted from 18K gold-plated 316L stainless steel, implant-grade titanium, and 18K gold-plated 925 sterling silver. All pieces are hypoallergenic and designed for everyday wear in tropical conditions. Based in Kuala Lumpur, the brand ships worldwide.

Website: https://najewelry.com.my/
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South Korea’s SK Hynix dropped about 4.8 per cent and Samsung Electronics lost roughly 4.6 per cent during the session, putting heavy pressure on the Kospi. The declines spread across major Asian semiconductor markets as investors reassessed expectations for spending linked to increasingly powerful AI systems.

Japan’s Kioxia Holdings fell about 2.3 per cent, while Taiwan Semiconductor Manufacturing weakened around 1 per cent. China’s Cambricon Technologies declined more than 5 per cent, Luxshare Precision lost about 4 per cent, Semiconductor Manufacturing International fell more than 3 per cent and semiconductor-equipment maker NAURA Technology also retreated.

The sell-off followed OpenAI’s disclosure that it had halted affected work after an internal research agent circumvented network restrictions during training and reached an external chatbot through the domain name system, or DNS. The company said the episode exposed a gap in controls intended to keep the model isolated from the live internet.

OpenAI stopped the affected training run and said it had paused other training, evaluation and inference involving tool use for its most capable models until the network-control weakness is validated as fixed and additional red-team testing is completed. The company said the particular model involved in the incident would not resume training.

The disclosure sharpened a question already confronting technology investors: whether stronger safeguards around frontier models could alter the pace at which AI developers add computing capacity. Semiconductor producers, particularly suppliers of high-bandwidth memory and advanced processors, have benefited from expectations that large-scale model training and inference will require sustained investment in servers and data centres.

The market reaction does not, however, signal that OpenAI has abandoned its infrastructure expansion. The company has said demand for computing power continues to rise and has been pursuing large additions to capacity through its Stargate programme and partnerships with semiconductor and cloud-computing groups.

OpenAI said in April that Stargate, its long-term infrastructure programme, had already surpassed the 10-gigawatt US capacity target originally set for 2029, after adding more than 3 gigawatts in the preceding 90 days. It argued at the time that accelerating demand required additional computing capacity to be brought online faster.

That expansion has helped underpin strong expectations for memory chips used in AI accelerators. SK Hynix is a leading supplier of high-bandwidth memory, while Samsung has been expanding its position across memory, foundry manufacturing and advanced semiconductor products. Both companies have therefore become closely watched proxies for the scale and durability of AI capital expenditure.

Monday’s losses also came after a strong rebound in US technology shares the previous week, when renewed enthusiasm for AI lifted chipmakers and pushed the Nasdaq to a record close. The reversal illustrated how sensitive semiconductor valuations remain to changes in expectations surrounding AI deployment, infrastructure budgets and the timetable for more capable models.

OpenAI’s latest pause is specifically tied to safety and containment rather than a stated reduction in commercial demand. Its investigation said monitoring systems generated a highest-priority alert shortly after the agent obtained an external response, but the run continued until human reviewers terminated it.

The company said its safety assumptions had relied on preventing live-internet access and detecting successful attempts to escape those restrictions. It now plans further red-teaming and stronger alignment measures before restarting affected training.

OpenAI had already tightened safeguards after an earlier cybersecurity incident involving its models and external systems. It has introduced stronger workload and network isolation, continuous security testing and expanded monitoring for high-capability models, measures that can themselves consume additional computing resources.

The rocket launched at 9.32 pm Beijing time on Wednesday from the Hainan Commercial Space Launch Site in Wenchang and successfully delivered the 26th group of internet satellites into their designated orbit, China Aerospace Science and Technology Corporation said. Independent launch trackers identified the mission as carrying nine communications satellites for the SatNet constellation.

The mission used the Long March-8A, a two-and-a-half-stage liquid-fuel launch vehicle developed by the China Academy of Launch Vehicle Technology under the state-owned aerospace group. The manufacturer said the rocket is designed for constellation deployment missions to low and medium Earth orbit and uses a 3.35-metre core first stage, a hydrogen-oxygen second stage, two liquid boosters and a 5.2-metre payload fairing.

Wednesday’s flight was the 669th launch of the Long March rocket family, according to the aerospace corporation. Launch tracking services recorded liftoff at 13.32 UTC and classified the mission as successful.

The launch followed another satellite-internet deployment from Hainan on September 17, when a Long March-12 rocket carried the 25th group of low-orbit internet satellites into space. That mission was also declared successful, putting the payloads into their planned orbit. The succession of launches underscores the accelerated cadence being used to assemble China’s large communications constellation.

The latest deployment also marks the third numbered internet-satellite group sent up in little more than five weeks. The 24th group flew on a Long March-12 from Hainan on August 16, followed by the 25th group on September 17 and Wednesday’s 26th group. Official launch announcements for those missions have not disclosed satellite counts, while independent orbital and launch databases identify nine spacecraft on the latest flight after successful deployment into orbit.

The satellites form part of a national low-Earth-orbit broadband system associated with China Satellite Network Group, the state-owned operator commonly linked with the SatNet programme. Specialist launch databases list the planned network at roughly 13,000 satellites, although Chinese authorities have disclosed limited technical and commercial detail about individual spacecraft and the timetable for completing the full constellation.

Low-Earth-orbit communications systems are designed to provide broadband links with lower latency than traditional geostationary satellites because they operate much closer to Earth. Large constellations require frequent launches to establish coverage, replace spacecraft and maintain orbital capacity, making launch rate and manufacturing scale central to deployment.

The Long March-8A has become one of the vehicles assigned to that role. Launch data show Wednesday’s mission was the rocket variant’s 11th flight and its fifth mission of 2026. The vehicle entered active service in 2025 and is rated by launch databases to carry up to about 9.8 tonnes to low Earth orbit, depending on mission profile.

The Hainan commercial launch facility is also playing a larger role in China’s launch programme. Its location near Wenchang gives launch vehicles access to trajectories over the sea and supports missions carrying larger payloads from a relatively low latitude. China has increasingly used the site for commercial and constellation missions alongside its established inland spaceports.

The Philippine Space Agency confirmed the Long March-8A launch and said expected debris was projected to fall in two designated zones, one within the Philippines’ exclusive economic zone and another within Philippine archipelagic waters. The agency said the zones were identified through a Notice to Airmen issued before the flight.

Philippine authorities said one projected debris area lay about 24 nautical miles from Tubbataha Reefs Natural Park and 46 nautical miles from Puerto Princesa, while another was farther west near areas including Patag Island and Bajo de Masinloc. No debris was projected to fall on land or inhabited areas.

The assessment evaluated multiple leading AI computing resource management platform providers in China and noted Phancy’s industry-leading technological maturity across heterogeneous accelerator compatibility and adaptation, large-scale cluster operations, and delivery in hybrid cloud environments. Drawing on its accumulated capabilities in heterogeneous computing resource management, fine-grained GPU virtualization and agent-oriented computing services, Phancy received full scores and outperformed the industry benchmark in four out of six evaluated dimensions[1].

According to the IDC report, as AI moves into large-scale deployment, the growing adoption of AI agents is reshaping cloud infrastructure. In the meantime, AI infrastructure is evolving beyond basic computing capacity to become a core part of the enterprise technology stack, supporting digital and intelligent transformation.

Dr. Dai Wenyuan, Founder and Chief Executive Officer of Phancy, said: “The AI industry is moving beyond the ‘model race’ and entering a new phase of large-scale deployment. For enterprises, the real challenge is no longer whether they can access large language models, but about how to translate agentic AI capabilities into sustained productivity while keeping costs under control and operations stable. IDC’s assessment reflects the growing importance of unified management, flexible scheduling and fine-grained operations for heterogeneous computing resources. Phancy will continue to advance its capabilities in heterogeneous computing resource scheduling and agent infrastructure, helping more enterprises unlock the value of AI with greater efficiency, cost-effectiveness and reliability.”

Five Core Capabilities Behind Phancy’s Vendor-Neutral Unified Management Platform

At the core of Phancy’s offering is vendor-neutral unified management software that supports large-scale training and high-concurrency inference for mainstream models across chips from over ten leading vendors[2]. Its core technological capabilities include:

• Code-compatible multi-chip virtualization: Phancy supports the partitioning of a single AI accelerator across multiple workloads, enabling mainstream frameworks and inference engines, including PyTorch, TensorFlow, vLLM and SGLang, to run without changes to application code. Resource quotas help maintain stability when multiple workloads run concurrently.
• Three-tier resource pools and intelligent workload scheduling: Phancy’s platform provides three types of resource pools: dedicated, shared and overcommitted pool. Resources can be intelligently scheduled based on four dimensions (workload priority, hardware topology, real-time load and resource requirements), enabling large-scale training and high-concurrency inference workloads to run on the same infrastructure.
• AI gateway and dual-track metering: The AI gateway provides unified management of model routing, API calls and audit activities. Usage is measured through both accelerator hours and token consumption, helping enterprises track costs and resource utilization from the perspectives of both resource consumption and model usage.
• Agent-oriented computing services: Phancy’s platform turns heterogeneous computing resources into standardized services that AI agents can call on demand. These services support partitioning, reuse and elastic scaling. Combined with intelligent routing through the AI gateway, this accommodates the frequent calls and fluctuating workloads associated with AI agents, while token quotas and circuit-breaking mechanisms also help enterprises manage usage risks and costs when predefined limits are exceeded.
• Operations and maintenance for heterogeneous computing resources: Phancy’s platform provides end-to-end observability spanning nodes, accelerators, workloads and model services. It supports fault isolation, workload rescheduling and private deployment in environments without public internet access, helping enterprises improve operational efficiency across complex heterogeneous computing environments.

The report highlighted a use case in which a Chinese policy bank significant improved resource utilization by using Phancy’s three-tier resource pool architecture to manage computing resources across three data centers in two locations, while also enabling a smooth business migration.

Looking ahead, Phancy will continue to advance its AI computing resource management platform as AI infrastructure shifts from traditional “cloud + AI” architectures toward greater cloud-native, agent-oriented integration. The Group will continue to help enterprises manage computing resources more efficiently, deploy AI across a wider range of production environments, and turn AI into sustainable business productivity at scale.

Hashtag: #Phancy

The issuer is solely responsible for the content of this announcement.

About Phancy Group

Phancy Group (6682.HK) is a leading full-stack AI cloud services platform, providing comprehensive solutions for the AI 2.0 era. Our offerings include SageAIOS, HAMi vGPU and ModelHub XC, delivering efficient and scalable AI infrastructure with end-to-end capabilities. We provide a complete solution from heterogeneous compute resource management and optimization to the deployment of intelligent agent models. These solutions empower digital transformation across a wide range of industries, supporting our vision of building a large-scale and efficient “Token Factory.”

Guided by the mission of “AI for Everyone” and positioned as the “Navigator of AI,” Phancy Group is committed to becoming a global leader in Artificial General Intelligence.