ReadyServer includes AI model access with every VPS plan, without per-token billing
SINGAPORE – Media OutReach Newswire – 14 October 2026 – ReadyServer, a Singapore-based provider of cloud and IT infrastructure services,has introduced the ReadyServer LLM API, giving customers on every ReadyServer VPS plan access to hosted open AI models at no additional cost. The OpenAI-compatible API lets developers connect applications running on their VPS to ReadyServer's shared AI inference infrastructure, without arranging a separate model service, obtaining an API key or paying per token.
For a developer building an AI application, hosting the application and accessing the model behind it are often separate decisions. A team may already have a server for its code and data, but still needs to work out where the model will run, how to connect to it and how usage will be billed. ReadyServer's approach brings model access into its existing VPS offering.
"Developers may have a clear idea for an AI application, but getting access to a model introduces another service to set up and another usage bill to manage," said Alan Woo, Chief Executive Officer of ReadyServer. "We wanted to make that first step simpler by including model access with the VPS they already use."
The API is reachable from a ReadyServer VPS through the company's private network. It is not exposed for use from a customer's own computer or a server hosted with another provider. Customers do not receive a dedicated GPU VPS or need to install a model on their existing server. Instead, applications on their VPS send requests to models hosted on ReadyServer's shared inference infrastructure.
Developers can use the service to build chatbots, AI agents, coding assistants and document search tools. It also supports retrieval-augmented generation (RAG), which lets an application draw on selected documents when producing a response. Other supported capabilities include summarisation, classification, data extraction, image input, tool calling and structured JavaScript Object Notation (JSON) output. These are available capabilities; the applications a customer builds will depend on its own development work.
The API uses a format compatible with the OpenAI API. Developers can connect using tools such as curl or the Python and Node.js OpenAI Software Development Kits (SDKs) by configuring their applications to use the ReadyServer API endpoint. No additional service installation is required on the VPS. While some SDKs require a non-empty API key field, ReadyServer does not issue an actual key for this service and a placeholder value can be used.
ReadyServer currently serves two open-weight Qwen models. Qwen3.6-27B is designed to return direct answers more quickly. Qwen3.8-27B has a longer context window and is suited to work involving lengthy documents or tasks that require multiple steps. Both are hosted by ReadyServer; "OpenAI-compatible" describes the API format, rather than the models themselves.
"We chose shared inference capacity so customers can access hosted models without each having to run a dedicated GPU server," Woo said. "It is a practical way for developers to start building, but shared capacity also means we need to be clear about fair use and what happens when demand is high."
The service has no published monthly token allowance and does not charge customers per token. Usage is governed by ReadyServer's fair-use policy. When the service is busy, requests may be queued and response times may increase. The ReadyServer LLM API is provided on a best-effort basis without a service-level agreement.
The ReadyServer LLM API is available to customers across every ReadyServer VPS plan. Documentation covering setup, supported models, API use and fair use is available at readyserver.ai.
Hashtag: #ReadyServer
The issuer is solely responsible for the content of this announcement.
About ReadyServer
ReadyServer Pte Ltd provides internet infrastructure, network, data centre and cloud computing solutions. The ReadyServer LLM API gives its VPS customers access to hosted open AI models through the company’s private network.
** This press release is distributed by Media OutReach Newswire through automated distribution system, for which the client assumes full responsibility. **
HONG KONG SAR – Media OutReach Newswire – 14 October 2026 – Alaya Consulting today released its latest research, From Climate Narrative to Numbers: A Study of Quantitative Scenario Analysis Disclosure among Hang Seng Composite LargeCap Index Constituents, examining how leading Hong Kong-listed companies disclose quantitative climate scenario analysis in their public reports.
The study reviewed the 2025 climate-related disclosures of 112 constituents of the Hang Seng Composite LargeCap Index, focusing on whether companies provide scenario-based information that is quantitative, financially connected and decision-useful for investors and other stakeholders.
The research found that while climate-related disclosure has become more common among large-cap companies, supported by the introduction of HKEX's new climate-related disclosure requirements under Part D of the ESG Code, many issuers remain at an early stage in translating climate risk awareness into quantified analysis. Companies frequently identify climate risks, describe governance arrangements and refer to climate scenarios, but fewer disclose the numerical outputs, financial implications or strategic conclusions needed to assess business resilience under different climate futures.
Key findings include:
- 93% of companies disclosed some form of climate scenario analysis, but the depth of disclosure varied significantly;
- 25% fully quantified physical risks;
- 19% fully quantified transition risks; and
- only 12.5% fully disclosed scenario-linked financial effects.
The findings show a clear gap between climate risk recognition and decision-useful quantification. Many companies now acknowledge climate-related risks and opportunities, but fewer explain what those risks mean in measurable business or financial terms.
Tony Wong, Founder of Alaya Consulting, stated: "Climate scenario analysis should not be treated as a reporting box-ticking exercise. Its real value lies in helping companies understand how climate-related risks and opportunities may affect their assets, operations, cash flows and long-term strategy."
"Our study shows that Hong Kong large-cap companies are increasingly aware of climate scenario analysis, but the market now needs to move from narrative disclosure to numbers. As HKEX's mandatory climate-related disclosure requirements begin to apply to relevant issuers, quantitative and financially connected analysis will be essential for investors, boards and management teams to assess resilience and make informed decisions."
The study highlights that financial effects remain the weakest area of disclosure. While some companies quantify risk exposure — such as assets exposed to flooding, carbon pricing or transition risks — only a smaller group translates those exposures into potential impacts on revenue, operating costs, capital expenditure, asset values, profitability or cash flows.
This matters because quantitative scenario analysis helps companies and report users understand the magnitude, timing and business relevance of climate risks. Without quantification, disclosures may identify that a company faces climate-related risks, but provide limited insight into whether those risks are material, manageable, increasing, or already reflected in strategic and financial planning.
The research comes at an important time for the Hong Kong market. With mandatory climate-related disclosure requirements applying to relevant large-cap issuers for financial years commencing on or after 1 January 2026, companies will need to strengthen scenario analysis capability and improve the connectivity between sustainability reporting, financial planning and business strategy.
According to Alaya Consulting, companies should prioritise:
- selecting relevant physical and transition climate scenarios;
- disclosing key assumptions and time horizons;
- quantifying risk exposure by asset, geography, business unit or portfolio, where relevant;
- assessing potential financial effects under different scenarios; and
- linking scenario outputs to resilience planning, investment decisions and capital allocation.
"The next stage of climate disclosure is about usefulness," added Mr. Wong. "Companies that can explain not only what climate risks they face, but how those risks may affect financial performance and strategic resilience, will be better positioned to meet regulatory expectations and respond to investor demand for credible climate-related information."
To obtain the full report or arrange a discussion on FY2026 climate disclosure readiness, please contact Alaya Consulting.
Hashtag: #AlayaConsulting #ClimateDisclosure #ScenarioAnalysis
The issuer is solely responsible for the content of this announcement.
About Alaya Consulting
Alaya Consulting is a specialist ESG consultancy focusing on climate-related disclosure, ESG advisory, pre-assurance, data verification and ratings enhancement. Its advisory services cover evolving international and market-specific requirements, including climate-related disclosure requirements, supply chain-related regulations and sustainability reporting developments.
With offices in Hong Kong and Shenzhen, we advise clients across a wide range of industries, including real estate, environmental services, utilities, renewable energy and pharmaceuticals. We are an ISSB training partner, and the ESG Partner of the Hong Kong ESG Reporting Awards (HERA).
Since 2014, Alaya has contributed to the achievement of SDG 12.6 by advising on nearly 1,000 sustainability disclosure projects. Our latest approved science-based target is to reduce Scope 1 and 2 GHG emissions by 42% by 2030. Alaya has also achieved a CDP climate change score of B, reflecting our continued commitment to climate transparency and performance.
** This press release is distributed by Media OutReach Newswire through automated distribution system, for which the client assumes full responsibility. **
