The Best Way to Shoot Underwater with Your Smartphone
By Admin
Published on 2025-05-04
Underwater photography is no longer far from your reach. There's a specific innovative underwater housing designed especially for smartphones. Let's find out the accessories that protect your device from water damage, also allowing you to capture crystal-clear images and videos beneath the surface.
Photography has always been an adorable experience, but what about underwater photography—a challenging task? For many years, capturing the fascinating world beneath the waves has required carrying bulky, costly cameras and often complicated gear. Many people feel the dream of capturing photos of marine life or sun-dappled waves is out of reach. The possibility of underwater photography is becoming a reality with smartphones evolving day by day.
- But don't let your phone dive alone to capture shots...
Your smartphone isn't designed to shoot underwater without proper protection, as it can cause blurry images or water damage. Ever heard about the world's first universal underwater housing for smartphones: the GDome Mobile 3? It doesn't just protect your phone; it improves its photographic capabilities beneath the water. It is your perfect companion under the water, whether you are a passionate photographer or a digital content creator.
What Makes GDome Mobile 3 the Perfect Underwater Housing
GDome Mobile 3 is not just another waterproof case; it is designed to take your photography to the next level. It comes with universal compatibility, which means you can easily fit any phone up to 6.5 inches. It is built with durable materials, eliminating water, sand, and bumps. This underwater housing is carefully crafted to capture immersive shots with stunning clarity and zero distortion. The Mobile 3 rare touch allows you to use your phone's camera with full control, so you never miss any moment.
How GDome Mobile 3 Helps to Capture Underwater Shots
Here's how GDome Mobile can help you capture stunning underwater shots:
1. Achieving Split Shots with Ease
Split shots are the images that show above and below the waterline in a single frame. For years, this magical effect required professional cameras, but GDome Mobile 3 brings this complex capability to your pocket. Its dome lens lets the housing balance light refraction and focal differences between air and water. This underwater housing allows you to capture a stunning view, like the underwater coral garden meets the sunny surface, with surfers passing by.
2. Maintaining Touchscreen Functionality
If you've ever used any underwater housing, then you might know the challenge of losing the ability to interact with the device's touchscreen. The GDome Mobile 3 is equipped with a rear touch membrane that brilliantly solves this problem. This innovative material replicates your phone's touchscreen, letting you tap, swipe, and zoom with accuracy. This feature allows you to adjust camera settings easily, like focus or switch between videos and picture modes instantly.
3. Ensuring Clear and Sharp Imagery
Water can play tricks with you in a way that dulls your underwater pictures. Your shots can appear colorless, flat, or even blurry if you don't have the right lens. The GDome Mobile 3 easily manages this issue with its expertly built dome lens. Its curvature and optical quality almost eliminate the risk of distortion and increase the field of view. This aspect allows your phone to click sharp, vibrant photos. The dome lens also improves light performance to let your phone handle the dim, low-light conditions.
What’s Included in the Box of GDome Mobile 3
When you unbox, you’re getting a complete kit designed to tackle your underwater photography journey:
- GDome Mobile 3 Housing: The underwater housing is designed to fit smartphones.
- Two Foam Inserts: Ensure a secure fit for different phone sizes, keeping it stable.
- PDS Side Grip: An ergonomic handle offers grip for steady shots underwater.
- Spare Parts Kit: Includes maintenance tools so Mobile 3 stays in good condition.
- Carry Bag: A durable bag for the transport and safekeeping of the accessories.
If you want to capture the beauty beneath the water, the GDome Mobile 3 is what you need to get right now. It is becoming the best way to shoot captivating pictures underwater with your smartphone. It combines innovative technology, affordability, and thoughtful design, meaning everyone can dive into the world of underwater imagery, from beginners to pros. This underwater housing doesn't just protect your phone but also unlocks a new creative universe. So, why wait too long? Capture the magical underwater world—all with the device already in your pocket.
As the premier partner of the GDome affiliate program, we would like to inform you that by tapping on the referral link, you may save big on your next plan. We may earn a small commission without extra cost to you.
Stay tuned to ActiveCorefit for more details on outdoor gear.
Amazon’s new AI chips signal a bold move in the hardware market, positioning the company as a strong competitor to Nvidia in AI processing.
The AI hardware market is witnessing a seismic shift as Amazon steps up with its custom-designed AI chips, Trainium 2 and Inferentia. These chips represent a bold move to challenge Nvidia, the long-standing leader in the AI processing arena. Developed by Amazon’s subsidiary Annapurna Labs, this innovation aims to redefine AI computing by offering more efficient, cost-effective solutions that integrate seamlessly into Amazon Web Services (AWS).
As demand for AI capabilities continues to soar across industries, Amazon’s entry into this space is not just about competition but about reshaping the future of artificial intelligence and cloud computing.
Amazon’s Strategic Move into AI Hardware
Amazon’s journey into the world of AI hardware is rooted in its commitment to innovation and customer-centric solutions. By developing its own AI chips, Amazon is breaking away from its reliance on third-party hardware like Nvidia’s GPUs.
This decision is driven by two key factors. First, the exponential growth in demand for machine learning applications has created a need for hardware that can handle these complex tasks efficiently and affordably. Second, Amazon’s vast AWS ecosystem provides a natural platform for integrating these custom chips, enabling businesses to leverage high-performance AI processing without additional infrastructure.
With Annapurna Labs leading the development of Trainium 2 and Inferentia, Amazon is positioning itself as a serious competitor in the AI hardware landscape, offering businesses a streamlined, cost-effective alternative for their AI workloads.
Inside Amazon’s Trainium 2 and Inferentia Chips
Trainium 2 and Inferentia are at the heart of Amazon’s strategy to transform AI computing. These chips are purpose-built to optimize two critical phases of machine learning: training and inference.
Trainium 2 focuses on the training phase, where machine learning models are developed and refined. It delivers high computational power and low latency, enabling the rapid processing of large datasets. This makes it ideal for industries like healthcare and finance, where speed and accuracy are paramount.
Inferentia, on the other hand, is designed for the inference phase, where trained models are applied to real-world scenarios. Whether it’s making predictions, analyzing data, or recognizing patterns, Inferentia excels at delivering fast, scalable performance while minimizing energy consumption.
These chips integrate seamlessly with AWS, allowing businesses to access powerful AI processing capabilities directly from the cloud. This integration not only simplifies deployment but also reduces costs, making AI accessible to a broader range of users.
Implications for the AI Industry
The introduction of Amazon’s custom AI chips has far-reaching implications for the industry. One of the most significant impacts is the democratization of AI technology. One it offers high-performance chips at a competitive price, Amazon will make advanced AI capabilities accessible to startups, small businesses, and enterprises alike.
This move also represents a shift in the competitive dynamics of the AI hardware market. With Nvidia dominating the GPU space for years, Amazon’s entry introduces a viable alternative that could encourage innovation and drive down costs. Businesses that already rely on AWS for their cloud computing needs now have the added advantage of accessing AI-specific hardware without additional investments.
Moreover, the integration of Trainium 2 and Inferentia into AWS aligns with the growing trend of cloud-based AI solutions. As more organizations adopt cloud computing, the demand for scalable, efficient AI processing is only expected to increase. Amazon’s chips are well-positioned to meet this demand, offering a seamless blend of performance, scalability, and cost-effectiveness.
Amazon vs. Nvidia
Nvidia has long been the leader in AI hardware, with its GPUs powering everything from gaming to scientific research. However, Amazon’s entry into the market introduces a new level of competition that could disrupt Nvidia’s dominance.
One of Amazon’s key advantages is its ability to integrate AI hardware directly into its AWS ecosystem. This eliminates the need for businesses to purchase and manage separate hardware, streamlining operations and reducing costs. For companies already using AWS, the transition to Trainium 2 and Inferentia is a natural progression.
Cost-effectiveness is another area where Amazon stands out. By developing its own chips, Amazon can offer competitive pricing that appeals to a wider audience. This is particularly important for smaller businesses and startups that may find Nvidia’s GPUs cost-prohibitive.
While Nvidia maintains an edge with its extensive developer community and well-established reputation, Amazon’s chips provide a compelling alternative for organizations looking to optimize their AI workloads within a cloud-first environment.
What This Means for the Future of AI and Cloud Computing
Amazon’s foray into AI hardware is more than just a competitive move—it’s a strategic vision for the future of technology. By integrating AI chips into AWS, Amazon is not only enhancing its cloud computing platform but also paving the way for more efficient, scalable AI solutions.
This development underscores the importance of custom hardware in advancing AI capabilities. As machine learning models become more complex, the need for specialized chips that can handle these workloads efficiently will only grow. Amazon’s chips are a step in this direction, offering a glimpse into the next generation of AI processing.
Furthermore, Amazon’s entry into the market could inspire other cloud providers to follow suit, leading to increased competition and innovation in the AI hardware space. This competition benefits end-users, driving down costs and accelerating the adoption of AI technology across industries.
Amazon’s development of Trainium 2 and Inferentia marks a turning point in the AI hardware industry. With this development, Amazon is challenging Nvidia’s dominance and reshaping the competitive landscape.
For businesses, this innovation represents an opportunity to leverage advanced AI capabilities without the need for significant investments in infrastructure. For the industry as a whole, it signals a shift towards more accessible, scalable AI solutions that empower organizations to achieve their goals.
As AI continues to evolve, Amazon’s custom chips are poised to play a pivotal role in shaping the future of technology. Stay tuned to Activecorefit for more updates on groundbreaking innovations in AI and cloud computing.
