📢 $BTDR Q2 2026 Earnings Conference Call and Webcast is scheduled for Monday, August 10, 2026, at 8:00 AM ET (8:00 PM SGT). @Bitdeer's management will discuss the financial and operational results, followed by a Q&A session. 👉 Register here: 🔗 Live webcast: 🔍 For more details: #AI# #bitcoinmining# #AIInfrastructure# #AIDC# #AICloud# #investors#

Welcome to Qwen Live – Episode 1: Agent-First, When Your Next User Isn't Human. 📅 June 30, 2026 | 10:00 AM (UTC+8) 🔔Set Reminder Now: As AI evolves at lightning speed, your next user might not be human—it could be an AI agent. In this debut episode, we are joined by Linlin Kong, Head of Qwen Cloud, alongside Qwen Cloud Product Managers Pan Gu and Xijue. Together, they will explore building cloud platform for agent from scratch, redefine developer experiences for non-human users, and uncover the new paradigms of large-scale human-agent collaboration. Ready to build for agents? Get started with Qwen Cloud Platform: #Qwen# #QwenLive# #AIagents# #AICloud# #DeveloperExperience# #FutureOfWork#

You may have come across us through a post, an exhibition, or perhaps met us in person. Today, we would like to share a story about who we are and what we are building. This is our story featured in @straits_times, where we explore how #SMEs# can level up their #AI# capabilities while overcoming infrastructure barriers. It also shares our perspective on how the right infrastructure and platforms can simplify this journey, enabling organizations to move forward with greater clarity and confidence. AI is becoming a core capability for business growth. We are excited to be part of this journey. Read the full story to learn more✨: #EnterpriseAI# #AICloud# #AIInfrastructure#

Last week, we had the privilege of gathering with over 20 exceptional CEOs and entrepreneurs from the Tencent Nanshan Academy community at Hong Kong Science Park for the "New Industry Landscape" exchange session. The conversation centered on the theme of "how AI is reshaping business opportunities across Asia and beyond." Steven Choi, General Manager of Tencent Cloud Hong Kong & Macau, and Jet Li, Head of Ecosystem Partnership & Channel Business, introduced Tencent Cloud's AI product portfolio—purpose-built to meet this moment, together with actual use case to illustrate how we collaborate with partners to enable enterprises' digital transformation. Yet technology alone isn't enough. What truly empowers our customers is end-to-end collaboration—from consulting and delivery, to scenario-based implementation, development, testing, and ongoing operations. Together, we're helping enterprises turn AI potential into real-world value. The future is already taking shape—and we're excited to partner with more innovators to turn capability into impact. Let's build it, together. 🌏 #TencentCloud# #AICloud# #GlobalExpansion# #NanshanAcademy# #NewIndustryLandscape# #WorkBuddy# #CodeBuddy# #HongKong# #DigitalTransformation#

AI data-center developers face massive refinancing pressure: At least $1 TRILLION in data-center debt matures over the next 5 years, with most obligations concentrated among just 8 companies. $13.4 billion in debt comes due in 2027, potentially raising refinancing interest rates by 2.85 percentage points and increasing borrowing costs by at least $380 million. The pressure comes as US Treasury yields increase, lenders become more selective, and investors grow concerned about developers' debt loads and dependence on financial support from hyperscalers and chipmakers. The refinancing burden is especially concentrated among AI cloud providers, with $49 billion in neocloud debt maturing between 2030 and 2032, representing 65% of their outstanding borrowings. CoreWeave and Nebius account for 80% of those maturities, while CoreWeave's existing debt yields have already surged as high as 15%. Meanwhile, construction delays caused by lengthy grid connection queues and skilled labor shortages threaten to postpone rental income, making debt repayment and refinancing even more difficult. The AI infrastructure boom is facing a massive debt wall.

AI attacks run 24/7 at second-level speed. Traditional defense fails! 🚨 🛡️ Fight AI with AI: Cloud Security Center Ultimate's 6-step response: • Auto-intercept & rotate AKs • Agentless scanning • Agentic EDR reconstructs chains • CSPM+ASM minimize privileges • BAS validates defense • Automated SOC ops Counter AI threats with AI speed. Secure the cloud. 🤖 Learn more: #CloudSecurity# #AlibabaCloud# #Cybersecurity#

AI CLOUD STARTUP MODAL RAISES $750 MILLION AT A $15.75 BILLION VALUATION CEO Erik Bernhardsson said the company has run more than 3 billion AI sandboxes as demand for inference grows, per Bloomberg

AI demand isn’t waiting for 2027. Neither are we. @Bitdeer_AI has secured a 10-year agreement for A901, a new 67MW AI Cloud data center campus in #Malaysia# and our third hub in the country, alongside #Cyberjaya# and #Johor#. 🇲🇾 Designed for @nvidia GB300 NVL72 systems, A901 adds the capacity enterprises need to scale AI into production. But the number is only half the story. Timing matters. ⏳ Initial capacity is targeted for Q1 2027, with the full 67MW targeted for Q2 2027. A901 brings @Bitdeer_AI’s secured global AI Cloud capacity to ~273.5MW, about 78% of our 350MW goal for Q1 2028. Scale means nothing without speed, and that’s what @Bitdeer_AI is building toward. 👇

AI spending is becoming extremely concentrated: The proportion of US software-spending businesses using paid GPU infrastructure is up to a record ~10%, from less than 4% two years ago. Model serving and inference, or spending on the computing power needed to run AI models and process AI requests, account for the vast majority of this increase. The proportion of firms using model serving and inference is up to a record 8.7% from 2.4% over this period. Meanwhile, the top 10% of firms by spending account for 99.5% of model-serving spending and 99.0% of neocloud spending, or specialized AI cloud services. The top 10% also represent 95.7% of cloud computing spending and 95.6% of spending on OpenAI and Anthropic. AI adoption is broadening, but spending remains heavily concentrated.