Ruthika Jruthika.hashnode.dev·Jul 15, 2023How DPUs are changing the data center ?DPU Stands for Data Processing Unit , a new type of chip that is designed to handle the massive amount of data generated by modern applications such as Cloud computing, Artificial intelligence,Edge computing,and Machine learning. DPU enables faster t...Discuss·4 likes·26 readscpu
Yatendra Kumaryatendrakumar.hashnode.dev·May 31, 2023Why GPUs and NVIDIA are the Powerhouses of AIEver wondered what's behind NVIDIA's recent ascent to becoming a trillion-dollar company? Or why the Graphics Processing Unit (GPU) is so crucial to the realm of artificial intelligence (AI)? Let's dive into the fascinating world of GPUs, explore the...DiscussMachine Learning
Subhasish Negelsnblogs.hashnode.dev·May 9, 2023Accelerate Your Data Science Workflows with NVIDIA's RAPIDS LibraryIf you are a data scientist who works with large and complex datasets, you may have encountered some challenges with the performance and scalability of your tools and frameworks. Many of the popular data science libraries, such as pandas, scikit-lear...DiscussData Science
Wagner Mjsemotions.hashnode.dev·Apr 11, 2023Web GPU: A Low-Level Graphics API for the WebThe web has come a long way since its early days of simple text and static images. Today, web developers can create immersive, interactive experiences that rival native applications, thanks to advancements in web technologies like HTML5, CSS3, and Ja...Discuss·33 readsGPU
Abhijeet Kumarknowledgekumar.hashnode.dev·Apr 9, 2023Web GPU: Unleashing the Power of Graphics on the WebWeb GPU: A New Frontier in Web Graphics The world of web graphics is constantly evolving, and with the advent of Web GPU, a new frontier has been opened up for developers and designers. Web GPU is an emerging web standard that brings the power of mod...Discuss·50 readsGoogle
Arhaan Ahmadarhaan.hashnode.dev·Apr 8, 2023Security and Reliability of GPUsThis blog post is based on my learning from a talk by Dr Adwait Jog. He is an active researcher in computer architecture, especially GPUs. I mean for it to be a gentle introduction to what can go wrong with GPUs and what is being done to fix them. GP...Discuss·54 readsarchitecture
Ben Cuandevlog.bencuan.me·Mar 29, 2023TurtleNet 2.5: GPU Passthrough with ProxmoxIntroduction This section is optional, and provides additional context in the case that you would like to attach a GPU to your VM. This can be useful for a variety of tasks, such as setting up a cloud gaming server (which we'll do now) or performing ...Discuss·1 like·82 readsTurtleNetself-hosted
Bhagirath Deshani bhagirathkd.hashnode.dev·Jan 29, 2023#79 Machine Learning & Data Science Challenge 79What is Darknet? DarkNet is a framework used to train neural networks; it is open source and written in C/CUDA and serves as the basis for YOLO. Darknet is also used as the framework for training YOLO, meaning it sets the architecture of the networ...DiscussMachine Learning & Data Science Interview ChallengesMachine Learning
Bhagirath Deshani bhagirathkd.hashnode.dev·Jan 23, 2023#69 Machine Learning & Data Science Challenge 69What is the batch size? Batch Size: The total number of training and examples present in a single batch. Unlike the learning rate hyperparameter where its value doesn’t affect computational time, the batch sizes must be examined in conjunction with ...DiscussMachine Learning & Data Science Interview Challenges2Articles1Week
Zakhar Koganyawn.hashnode.dev·Jan 14, 2023Moore's perspectiveSo I've stumbled upon an article mentioning that the most powerful supercomputer in 2010 was Tianhe-1 with a peak performance of 2.5 petaFLOPS. Fast forward, it's 2023. We've got Graphcore IPUs available for free (ref link so I'll use it for paid pl...Discuss·78 readsCloud Computing
