(Illustration: Amazon Kindle Colorsoft Signature Edition. Image source: Amazon Kindle Webpage.)
Following Apple’s sudden release of the iPad Mini (7th generation) 1 2, Amazon has also quickly launched a new color e-paper reader Kindle Colorsoft Signature Edition 3.
It seems everyone doesn’t want to miss the year-end Thanksgiving, Black Friday, and Christmas shopping seasons. Although I just got the reMarkable Paper Pro, and despite the different orientations (paper vs. books), seeing color e-paper products gradually coming to market still tempts me. For me, it could be more convenient for reading AWS flowcharts, architecture diagrams, and other information. Maybe I’ll wait and see if there are any Black Friday deals.
(Image source: Photo by Jason Dent on Unsplash)
This PHP container was developed, adjusted, and maintained together with a friend and colleague. The original design purpose was to combine php-fpm with nginx, creating a simplified environment that facilitates the operation of Laravel in cloud-native environments, AWS Fargate, Amazon ECS, etc. We use it as a base for teaching and implementing various projects, comparative testing, including comparisons of x86/ARM computing architectures, and more.
With the update and release of new PHP versions, we plan to share the performance tests comparisons we’ve conducted every quarter (if not forgotten) with fellow PHP enthusiasts.
(Illustration: Preparing to unbox the Remarkable Paper Pro. Image source: Ernest.)
I’ve been eyeing the reMarkable 2 for quite some time, but with an iPad, Apple Pencil, and Amazon Kindle already in hand, it seemed like there might be too much overlap in functionality. Additionally, with rumors of color e-paper products about to bloom everywhere, I kept postponing the purchase. That was until two weeks ago when reMarkable suddenly released the reMarkable Paper Pro. After watching the Launch Event video, I impulsively placed an order, and two weeks later, I came home to find a box waiting for me :)
Below, I’ll briefly document the various ingenious ideas and details I experienced during the unboxing process from the reMarkable team.
In this keynote speech at Computex, NVIDIA CEO Jensen Huang focused on the company’s latest advancements in accelerated computing and artificial intelligence (AI), and their profound impact across industries. He emphasized the underlying infrastructure required for generative AI, which will necessitate and drive a complete reformation of the entire computing industry, and NVIDIA has already accumulated a sizeable installed base to facilitate this transformation.
Huang highlighted NVIDIA’s pivotal role in this technological shift, having developed numerous groundbreaking technologies such as the Omniverse simulation platform, CUDA accelerated computing, and NVIDIA Inference Microservices (NIMs). This allows researchers across domains to focus on building domain-specific models and applications without worrying about the underlying technology. Huang painted a vision of a future where AI will be ubiquitous, from customer service agents and digital humans, to digital twins and robotics models that understand the laws of physics. He also discussed NVIDIA’s GPU roadmap, previewing upcoming larger and more energy-efficient GPU products.
Ernest’s Notes:
Recalling the historical experiences of “Apple Mac vs Windows + Intel” and “Apple iOS vs Android”, the market is likely to form two or three dominant camps. One camp may have the advantage of highly integration, while the others (in the short term) will provide flexible solutions with constraints.
After roughly ten iteration cycles, the major camps will have penetrated various customers and industries. The services and features they can offer will gradually converge (moving closer to essential needs). At the same time, all of us will also accumulate new problems, setting the stage for the next situation.
Previously, Apple’s hardware came first, followed by Apple’s software, transitioning from packaged software to Apps and SaaS. Now, it is NVIDIA’s hardware and software integration. In the future, it is believed that there will also be a rethinking of the infrastructure. It is worth continuously observing where there is redundancy, operational inefficiency, as those areas present opportunities.
At GTC 2024 representing over $100 trillion in global industries, the focus shifted from reducing computing costs to exponentially increasing computing scales. This paradigm shift is dubbed “generation” rather than “inference,” signaling a move away from traditional data retrieval methods towards generating intelligent outputs. The discussion highlighted the ongoing industrial revolution in artificial intelligence, where even complex entities like proteins, genes, and brain waves are being digitized and understood through AI, leading to the creation of their digital twins.
The keynote stressed the transformation of AI applications, citing the AI Foundry’s three main components: NIM, NeMo Microservices, and DGX Cloud. These tools underscore a new era where both structured and unstructured data is converted into a dynamic AI database. This database not only stores information but interacts intelligently with users, marking a significant evolution from traditional semantic encoding to a world where meaning is embedded in digitally generated scenes.