Core Insights - Tuya Smart hosted "Tuya Developer Day" at CES 2026, focusing on the theme "Accelerating the Physical AI Era Together," gathering leaders from top tech companies to discuss AI advancements [1] Leadership Dialogue - Alex Yang, COO and CFO of Tuya, discussed the transition of AI from concepts to large-scale applications with representatives from Google Cloud and AWS, emphasizing insights on AI-native devices [2] - Praveen Rao from Google Cloud highlighted the evolution of multimodal capabilities in AI systems, indicating a shift from virtual applications to real-world integration, aiming for proactive AI services [3] - Danny Smith from AWS noted the development of enterprise-scale agentic AI with Tuya, which can process multidimensional data and make optimal decisions rapidly, enhancing business outcomes [3] Panel Discussion - Chuck Sabin from Bluetooth SIG emphasized the importance of connectivity as a driver of innovation, collaborating with Tuya to enhance interoperability across devices [4] - Jeff Platon from the Wi-Fi Alliance discussed how AI is transforming connectivity experiences, ensuring Wi-Fi remains a secure foundation for intelligent applications [4] - Jon Harros from the Connectivity Standards Alliance stressed the need for open standards and collaboration to foster secure, interoperable AI solutions, with Tuya playing a key role [4] - Colin Cureton from Silicon Labs pointed out the challenges of fragmentation in deploying AI-native systems, advocating for partnerships to create robust connectivity platforms [4] Keynote Presentations - Alex Yang presented on how AI is redefining life, focusing on creating intuitive experiences that integrate smart devices and services to enhance daily living [5] - Joe Sun, CEO of Robopoet, discussed emotional companion robots for Gen-Z, highlighting their ability to form deeper emotional connections through Tuya's technology [5] - Olivier Garreau from Wisdom Oasis AI emphasized AI's role in enhancing parent-infant interactions, showcasing Tuya's technology in understanding subtle needs [5] - The event showcased breakthroughs in AI technology, including multimodal perception and emotional companionship, with a commitment to advancing Physical AI through collaboration [5]

Core Insights - Nvidia has launched Alpamayo, a new family of open-source AI models, simulation tools, and datasets aimed at enhancing the reasoning capabilities of autonomous vehicles in complex driving situations [1][2]. Group 1: Product Features - Alpamayo 1 is a 10-billion-parameter vision language action model that enables autonomous vehicles to reason through complex scenarios, such as navigating traffic light outages without prior experience [2]. - The model breaks down problems into steps, reasoning through possibilities to select the safest path for driving [3]. - Alpamayo not only processes sensor inputs to control vehicle actions but also explains the reasoning behind its decisions and the trajectory it plans to take [4]. Group 2: Developer Tools and Resources - The underlying code for Alpamayo 1 is available on Hugging Face, allowing developers to fine-tune the model for specific vehicle applications or create tools like auto-labeling systems for video data [4]. - Nvidia's Cosmos can be used to generate synthetic data for training and testing Alpamayo-based applications, combining real and synthetic datasets [5]. Group 3: Datasets and Simulation Framework - As part of the Alpamayo rollout, Nvidia is releasing an open dataset containing over 1,700 hours of driving data that covers rare and complex real-world scenarios [7]. - AlpaSim, an open-source simulation framework, is also being launched to validate autonomous driving systems by recreating real-world driving conditions for safe testing [7].

Product Overview - Google Cloud Manage Luster is a persistent storage offering powered by DDN Xcaler [1] - The product launched four and a half months ago and has good customer traction [1] - It is fully integrated with Google Cloud, including Google Cloud Storage (GCS) and Google Kubernetes Engine (GKE) [2] - The product is compliant and has a 999% SLA [2] Performance and Scalability - The product runs up to 1 terabyte per second of throughput with sub-millisecond latency and millions of IOPS [3] - It scales from 9 terabytes to 8 petabytes [3] Technology - The company partnered with EDM for a mature and reliable product with a rich feature set, choosing Exosscaler as the foundation [1]

Partnerships & Technology - Token Terminal 与 Google Cloud 合作，提升 Solana 公共数据在 BigQuery 上的可扩展性和可用性 [1] - 宣布首次发布对 Solana Community 数据集的主要升级 [1] Data Enhancement - 致力于改进 Solana 数据的可访问性和实用性 [1]

Partnerships - Token Terminal 与 Google Cloud 合作，提升 Solana 在 BigQuery 上的公共数据可扩展性和可用性 [1] Technology Updates - Solana Community 数据集迎来重大升级的首个版本 [1] Web3 Focus - Token Terminal 致力于 Web3 领域的发展 [1]

Partnerships - Token Terminal has collaborated with Google Cloud to enhance the scalability and usability of Solana's public data on BigQuery [1] Data Enhancement - The Solana Community dataset on BigQuery has received major upgrades [1] Technology - Token Terminal is working to improve the scalability & usability of Solana's public data [1]

Partnerships & Technology - Google Cloud team is collaborating to enhance Solana data accessibility [1] - Solana is the initial blockchain in an initiative to provide high-quality, publicly queryable Layer 1/Layer 2 data on Google Cloud [1] Strategic Direction - The company is expanding its focus to make Layer 1/Layer 2 data accessible on Google Cloud [1]

Partnerships & Technology - Token Terminal 与 Google Cloud 合作，提升 Solana 在 BigQuery 上的公共数据可扩展性和可用性 [1] - 发布 Solana Community 数据集的主要升级版本 [1] Web3 Focus - Token Terminal 致力于 Web3 领域，通过与 Google Cloud 的合作，改进区块链数据的分析和应用 [1]

Google Cloud Strategy - Google Cloud aims to enhance accessibility of high-quality, publicly queryable L1/L2 data [1] - The initial focus is on Solana, indicating a strategic partnership or prioritization [1] - Google Cloud intends to broaden this initiative to encompass additional networks [2] Target Audience - The initiative targets developers, researchers, and institutions [2] Benefits - Lower cost barriers for accessing onchain data are expected [2] - Richer application-level coverage will be provided [2] - The goal is to enable building on transparent onchain data [2]

Partnerships & Technology - Token Terminal 与 Google Cloud 合作，提升 Solana 在 BigQuery 上的公共数据可扩展性和可用性 [1] - 宣布首次发布 Solana Community 数据集重大升级 [1] Web3 Focus - 专注于改进 Web3 领域的数据基础设施 [1]