Google Compute Engine
Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Dragonfly
Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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Brainscape
Brainscape’s digital flashcards enhance your learning experience by revisiting challenging concepts at optimal intervals to boost memory retention effectively. The platform enables users to create "decks," incorporate multimedia elements like images and sounds, and collaborate with various editors for seamless content updates. Rooted in decades of established cognitive science, Brainscape’s sophisticated study method is crafted to facilitate quicker learning and longer-lasting recall compared to other flashcard applications. Rather than focusing on games, Brainscape simplifies any topic into manageable facts, systematically arranged into decks and classes, presented as question-and-answer pairs that encourage active information retrieval. After engaging with each card, users can evaluate their understanding on a scale from 1 to 5, allowing Brainscape to calculate the ideal timing for the next review of that flashcard, ensuring a tailored and efficient study experience. This unique approach ensures that learners can maximize their study sessions while effectively reinforcing knowledge over time.
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Gizmo AI
Gizmo is an innovative study application powered by artificial intelligence that seamlessly transforms various learning materials, such as YouTube videos, PDFs, PowerPoint presentations, notes, Quizlet decks, and even handwritten notes into engaging flashcards and quizzes. By integrating spaced repetition and active recall strategies, it significantly enhances your ability to retain information over the long haul. Users can easily import content, scan their handwritten notes, organize their decks, and participate in gamified quizzes that include multiple choice, fill-in-the-blank, and written questions, making the learning process enjoyable. Additionally, Gizmo fosters a collaborative study environment through shared decks, peer quizzing, leaderboards, and access to pre-made public decks for enhanced interaction. The app personalizes the learning experience according to user behavior, adjusts quiz timing using memory models, and features an intuitive interface that functions smoothly across various devices. While advanced users can take advantage of technical feedback, those new to the platform receive structured support to facilitate their learning journey. Ultimately, Gizmo aims to make studying not only effective but also engaging, catering to diverse learning styles and preferences.
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