Scaling an AI platform requires both performance and safety. @EaseMate_AI_ leverages Alibaba Cloud’s AIGC services and LLMs to drive global innovation. The results: • 99.5%+ accuracy in real-time content moderation. • 20% reduction in API costs. Scaling smarter with Alibaba Cloud. 🚀 #GenerativeAI# #CloudComputing# #Qwen# #ModelStudio# #LighthouseCustomerStories#

🚀 Tencent Cloud will be at #LEAP2026# in Riyadh! 📅 August 31–September 3, 2026 📍 Hall 4, G78 | RECC Malham, Saudi Arabia AI is transforming every industry—and we're here to help you turn AI ambitions into real business value. Visit us at LEAP 2026 to discover: 🤖 AI Infrastructure for scalable, high-performance AI workloads 🎬 AI-powered Media Solutions for content creation, processing, and global delivery 💡 AI Creation & Productivity tools to accelerate development and innovation 📱 Super App & Digital Ecosystem solutions to drive user engagement and unlock new revenue opportunities Whether you're exploring AI adoption or scaling enterprise innovation, stop by our booth at Hall 4, G78 to see how Tencent Cloud can help power your next stage of growth. See you in Riyadh! #LEAP2026# #TencentCloud# #AI# #GenerativeAI# #AIGC# #AIMedia# #EnterpriseAI# #CloudComputing# #CloudInfrastructure#

We're excited to launch the new Saudi Arabia deployment region for @TencentRTC Chat (IM)! 🎉 Building for MENA? Here is what this means for you: 🔒 Local data storage in Saudi Arabia ⚡ Lower latency for faster messaging 🛠️ Middle East UI kit & multi-language SDK to ship in 1 day Dive in and scale your app globally: #TencentCloud# #TencentRTC# #IM# #ChatSDK# #SaudiArabia# #MENA# #GoingGlobal# #DataResidency# #DeveloperTools# #CloudComputing#

Less than a week to the Alibaba Cloud x TiDB AI Innovation Night - and seats are filling up fast! From agentic AI and AI-ready data infrastructure to real-world deployment strategies and measurable ROI, hear how enterprises are turning AI ambition into business impact. Connect with industry leaders and peers over an evening of conversations, networking, dinner, drinks, and a few surprise elements along the way. Register now: Lumen #AlibabaCloudSG# #AlibabaCloudPartner# #AlibabaCloud# #AI# #DigitalTransformation# #LLM# #Qwen# #Wan# #ContentCreation# #DigitalUpskilling# #CloudComputing# #AInnovation# #TiDB# #LingYang# #AgenticAI# #GenAI#

We are proud to share that Bitdeer AI has been ranked in the Bronze Tier SemiAnalysis GPU Cloud ClusterMAX™ Rating in its April 2026 report, standing out among more than 80 neocloud providers 🎉. SemiAnalysis looks beyond surface-level pricing, evaluating the technical pillars that determine true business value: 🔹 Reliability & Support 🔹 High-Performance Networking & Storage 🔹 Orchestration Excellence 🔹 Total Cost of Ownership (TCO) As AI workloads scale in complexity, raw hardware is only half the story - operational efficiency and architectural integrity are the only way forward. This recognition validates our commitment to building enterprise-grade AI infrastructure ready for the most demanding training and inference workloads. Thank you, @SemiAnalysis_ team, for the deep dive and the recognition. We are already hard at work on our next phase of optimizations, further refining our cloud capabilities and O&M excellence to stay ahead of the curve. 🔗 Read the full SemiAnalysis breakdown: #BitdeerAICloud# #SemiAnalysis# #AIInfrastructure# #GPUCloud# #neocloud# #CloudComputing#

💰 Don't size caches for peak—let them stretch and shrink with demand to cut cost. Google applies the classic ski rental problem to a production database. Title: Optimizing cloud economics with linear elastic caching URL: 📦 Overview Linear elastic caching treats memory footprint as a variable cost that integrates over time, dynamically growing and shrinking cache size to match the workload. 🎯 The problem Cloud memory is expensive (serverless can charge up to $3/day per GiB). Fixed-size caches hit a "Goldilocks dilemma": too small hurts performance, too large wastes thousands on idle memory during low demand. 🎿 Method Each page faces a choice: "rent" (keep in RAM, paying continuous memory cost) or "buy the miss" (evict, risking latency/I/O later). A ski rental algorithm sets each page's TTL. The key result: eviction policy and rental duration can be optimized separately. 🌲 Implementation For Spanner, a lightweight shallow decision tree (compilable to C++) predicts the optimal TTL from data size, miss cost, and operation type—no heavy inference in the cache path. 📉 Results In production on Spanner: memory down 15.5%, misses up only 5.5%, TCO down ~5%, I/O impact a mere 0.5%. On public traces it consistently beat fixed-size (GDSF) baselines. #CloudComputing# #Algorithms#