The much-anticipated Amazon Prime Day has finally arrived, offering a plethora of TV deals to choose from. For those considering buying a new TV, we’ve compiled a list of the best Prime Day TV offers right here. Although we don’t directly conduct TV reviews at BuyTechBlog, we’ve sifted through customer and reputable site reviews to guide your purchases and ensure value for your money. Do bear in mind that we’re in a transition phase in the TV market, and several of our recommendations are 2022 models which come at a significantly lower price than their successors. Apart from TVs, we’ve also listed a few Prime Day offers on media streamers.
Quick Picks:
- Samsung S95B OLED TV (65-inch) – Save $600, Now $1,598 at Amazon
- LG C2 OLED TV (55-inch) – Save $403, Now $1,097 at Amazon
- Sony A80K OLED TV (55-inch) – Save $702, Now $1,098 at Amazon
- LG B2 (55-inch) – Save $200, Now $897 at Amazon
- Samsung QN90B Mini LED TV (55-inch) – Now $1,098 at Amazon
Samsung S95B OLED TV (65-inch) – Now $1,598 (Previously $2,198, Save $600)
The 65-inch Samsung S95B has hit its lowest price at $1,598, marking a significant price drop from its previous average. The S95B’s QD-OLED panel, combining OLED technology with a quantum dot layer, provides high contrast and wide viewing angles without compromising brightness and color saturation. This makes it suitable for rooms with higher brightness levels. However, it doesn’t support Dolby Vision HDR. While it’s a 2022 model, the S95B remains a superior value purchase.
LG C2 OLED TV (55-inch) – Now $1,097 (Previously $1,500, Save $403)
The LG C2 OLED TV, offering a more budget-friendly OLED option, is now priced at $1,097 for a 55-inch model. The C2, while unable to compete with the brightness and color range of QD-OLED sets like the Samsung S95B, still provides excellent contrast, deep black levels, and wide viewing angles. It also supports all major HDR formats, including Dolby Vision.
Sony A80K OLED TV (55-inch) – Now $1,098 (Previously $1,800, Save $702)
The Sony A80K, another notable OLED TV, is now at its lowest at $1,098 for a 55-inch model. The A80K delivers the essential benefits of an OLED display, though it’s typically considered secondary to the LG C2 due to its less impressive brightness levels and fewer HDMI 2.1 ports.
LG B2 (55-inch) – Now $897 (Previously $1,097, Save $200)
If you’re looking for an affordable yet competent OLED TV, the 55-inch LG B2 is a worthwhile investment at $897. Although it doesn’t quite match up to the LG C2’s brightness or HDR color richness and has fewer HDMI 2.1 ports, it does offer significant upgrades from a basic LCD TV.
Samsung QN90B Mini LED TV (55-inch) – Now $1,098
For smaller sets, the 43-inch Samsung QN90B is at an all-time low of $898. As an LCD TV, it can’t offer the almost perfect blacks and ultra-wide viewing angles of an OLED panel, but it can get considerably brighter.
Samsung The Frame TV (55-inch) – Now $988 (Previously $1,498, Save $510)
Samsung’s The Frame TV is perfect for those prioritizing aesthetics. Styled to resemble a piece of wall-mounted art, it’s now down to $988 for the 55-inch model. While its QLED panel can’t compete with top-tier models regarding contrast and HDR performance, it certainly delivers a more immersive aesthetic experience.
Hisense A6H TV (50-inch) – Now $228 (Previously $310, Save $82)
The Hisense A6H is a worthy entry-level 4K TV, now available at $228 for a 50-inch model. It’s not the most impressive when it comes to contrast or color richness, but for the price, it’s a worthwhile secondary TV.
Amazon Fire TV Omni QLED Series TV (43-inch) – Now $380 (Previously $450, Save $70)
Amazon’s Fire TV Omni QLED Series is also on sale with the 43-inch model now at $380. It’s an ideal choice for Amazon Fire OS enthusiasts.
Roku Streaming Stick 4K – Now $35 (Previously $50, Save $15)
Our top pick for the best media streamers, the Roku Streaming Stick 4K, is now available at $35. It supports all major apps and HDR standards, including Dolby Vision, HDR10, HDR10+, and HLG.
Roku Express 4K+ –
User: Hey ChatGPT, can you give me a brief history of the GPU industry?
AI: Sure, I’d be happy to provide a brief overview of the history of the GPU (Graphics Processing Unit) industry.
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Early Days (Until the 1970s): The concept of a GPU didn’t exist as we know it today. There were video display controllers, but these were relatively simple and didn’t do much more than output a video signal to a display.
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First Generation (Late 1970s – 1980s): Graphics began to be integrated into personal computers, starting with chips like the Motorola 6845 in the late 1970s and early 1980s. At this stage, these were mainly used for simple 2D graphics and text.
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The Rise of 3D Graphics (1990s): The ’90s saw the introduction of specialized 3D accelerators, with companies like 3dfx Interactive leading the charge. These cards, such as the 3dfx Voodoo, were separate from the traditional video output and were used to handle 3D rendering tasks.
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The Birth of the Modern GPU (Late 1990s – Early 2000s): Nvidia introduced the term “GPU” with the release of the GeForce 256 in 1999. This card was capable of handling both 2D and 3D graphics, as well as additional tasks such as transform and lighting calculations, which were traditionally done by the CPU. Meanwhile, ATI (which would later be bought by AMD) was also making strides in the market with cards like the Radeon.
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The GPU Compute Revolution (2000s – 2010s): As GPUs became more powerful, researchers and engineers realized that they could be used for much more than just graphics. The highly parallel nature of GPU architectures made them well suited to a wide range of computations. This gave rise to GPGPU (General Purpose computing on Graphics Processing Units), and CUDA (Compute Unified Device Architecture) was introduced by Nvidia in 2006 to facilitate this.
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AI and Machine Learning (2010s – Present): With the rise of AI and machine learning, GPUs have found a new purpose. The same parallel processing capabilities that make GPUs excellent for rendering graphics also make them great for training AI models. Nvidia has remained a leader in this area, with their Tesla and later the RTX series of GPUs being particularly popular for AI workloads.
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Ray Tracing and Beyond (Late 2010s – Present): Ray tracing, a technique for generating incredibly realistic lighting and reflections, has long been considered the “holy grail” of graphics. However, it’s computationally expensive and wasn’t feasible for real-time graphics until recently. Nvidia’s RTX series of GPUs, launched in 2018, introduced hardware acceleration for ray tracing. AMD also introduced their RDNA 2-based GPUs supporting hardware accelerated ray tracing in 2020.
As of my knowledge cutoff in 2021, there are ongoing developments in the GPU industry, with advancements in areas such as real-time ray tracing, AI and machine learning acceleration, and more. The rise of cloud-based gaming and graphics rendering, as seen with services like Nvidia’s GeForce Now, is also an important trend. AMD, Nvidia, and Intel (with its Xe line) are some of the key players in the industry.
Frequently Asked Questions (FAQs) about GPU Industry Evolution
What is a Graphics Processing Unit (GPU)?
A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are essential for tasks that are graphically intensive like gaming or video editing, but they are increasingly being used in fields such as AI and machine learning due to their ability to handle complex calculations at high speed.
Why are GPUs important in the tech industry?
GPUs are important in the tech industry because they are capable of handling complex and large volumes of calculations quickly, making them ideal for applications in AI, machine learning, gaming, and more. They offer superior processing power compared to traditional CPUs for certain types of tasks, which has led to an increased demand and their prominent role in various tech advancements.
What factors are driving the rapid growth of the GPU market?
The GPU market is growing rapidly due to increasing demand from industries that rely heavily on processing large amounts of data quickly, such as artificial intelligence, machine learning, and data analytics. Additionally, the ongoing evolution in gaming technology and virtual reality applications are contributing to the growth.
How are GPUs being used in artificial intelligence and machine learning?
In artificial intelligence and machine learning, GPUs are being used to train complex models and algorithms. This is because GPUs have a high degree of parallelism, meaning they can perform many computations simultaneously. This makes them ideal for tasks like deep learning, where huge amounts of data need to be processed quickly.
What impact does the shortage of GPUs have on the tech industry?
The shortage of GPUs in the market can have significant effects on the tech industry. It can increase prices due to higher demand and limited supply, cause delays in research and development projects that rely on these devices, and impede advancements in fields like AI, machine learning, and gaming.
More about GPU Industry Evolution
- Understanding Graphics Processing Units (GPUs)
- The Importance of GPUs in AI and Machine Learning
- The Rapid Growth of the GPU Market
- The Impact of GPU Shortages on the Tech Industry
- The Role of GPUs in Gaming
6 comments
This is a game-changer! Literally, haha! didn’t realize how important GPUs are becoming in different industries.
Gotta think about the environmental impact too. All this tech, but at what cost?
Dang GPU’s are the backbone of crypto mining too. but the prices are way too high now 🙁
wow. This is really interesting! Maybe i should start investing in companies making these GPUs…
Theres definitely no AI without GPU’s. they’re making a huge difference in machine learning. Interesting read!
woa, had no idea about the GPU market getting this big. thought it’s all for gaming, lol