Cloud Computing
Cloud computing enables scalable access to computing resources via the internet, supporting flexibility, cost efficiency, and digital transformation. We cover provider benchmarks, infrastructure options, cost optimization strategies, and emerging technologies shaping the future of cloud services.
How to Design an AI Infrastructure & Key Components
AI infrastructure is the foundation of current AI applications, combining specialized hardware, software, and operating methods to meet AI needs. Businesses across various industries utilize it to integrate AI into products and processes, such as chatbots (e.g., ChatGPT), facial/speech recognition, and computer vision.
Top Serverless Functions: Vercel vs Azure vs AWS
Serverless functions enable developers to run code without having to manage a server. This allows them to focus on writing and deploying applications while infrastructure scaling and maintenance are handled automatically in the background. In this benchmark, we evaluated 7 popular cloud service providers following our methodology to test their serverless function performance.
Future of Cloud Computing: 10 Powerful Trends
The future importance of cloud computing from shaping various industries to infrastructure investments has been analyzed by many studies. However, the future is already here. Understanding the emergence of DeepSeek and the rise of trends like multi-cloud has become significant.
S3 Compatible Cloud Object Storage Benchmark
I have been using Amazon S3 for over a decade. I have benchmarked leading S3-compatible object storage providers across 9 key criteria (e.g., ease of migration, data transfer fees, storage costs, retrieval times, and mount-ability). AWS leads the public cloud computing market, with S3 being the most widely used cloud storage service.
Comparison of Top 5 Free Cloud GPU Services
AI and machine learning advancements have surged demand for GPUs, essential for high-performance computing. Dedicated GPU infrastructure requires high capital, but cloud-based services now offer cost-effective access. Free GPU platforms are increasingly vital for researchers, developers, and budget-conscious organizations.
Top 5 Google Colab Alternatives
Google Colaboratory is a popular platform for data scientists and machine learning scientists, but its limitations and pricing may not meet your needs. Several alternatives offer unique features and capabilities that cater to different data science needs and scenarios.
Oracle Cloud Infrastructure: Azure & OpenAI's Preferred Cloud
Oracle Cloud Infrastructure (OCI) has emerged as a leader among alternative cloud providers, with a 49% growth in Q3 2024. This growth is driven by OCI’s strong integration with enterprise applications, appealing to businesses seeking robust cloud solutions. However, OCI faces challenges, including a steep learning curve, complex setup, and occasional performance slowdowns.
Cloud Inference: 3 Powerful Reasons to Use
Deep learning models achieve high accuracy in tasks like speech recognition and image classification, often surpassing human performance. However, they require large training datasets and significant computational power. Cloud inference provides a scalable solution to handle these demands efficiently. Explore cloud inference, compare it to on-device inference, and highlight its benefits and challenges.
GPU Cluster: Key Things to Know & 5 Use Cases
A GPU cluster is a set of computers where each node is equipped with a Graphics Processing Unit (GPU). Computational demands are ever-rising, whether in cloud or traditional markets. In this context, having the right knowledge on GPU clusters is more important than before.