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HostZealot was established in 2009 and is already a well-known and experienced player in the hosting service industry. We are sure about that, because all our enthusiasm, original ideas, and lack of stereotypes are dedicated to developing tailored infrastructure solutions. HostZealot offers solutions that could be a standard of reliability and quality. Zealot (fanatic) is mentioned in the company’

s name not without a reason. To us, a zealot embodies enthusiasm and efforts to accomplish a goal, while the main goal, in our case, is to keep client’s resources online at a lightning-fast network speed. Of course, such a goal cannot be achieved without reliable partners. That is why HostZealot cooperates with top-notch industrial Datacenters and ISP’s across the globe. HostZealot is constantly developing, increasing network capacity to serving more clients each year. Our team constantly works on upgrades and improvements, which allow making your customer experience even better. Get in touch with us and let’s go towards success together!

30/04/2026

There are currently numerous reports indicating that OpenAI has failed to increase the number of active users. Furthermore, the company has not met its projected financial targets, leading to concerns about future computing power contracts.

’s Future Development Plans

OpenAI had planned for significant growth to cover substantial computing power costs. For example, the company raised approximately $122 billion in its latest funding round. Despite this, most analysts remain skeptical and believe that the raised funds will run out by the middle of next year unless revenue continues to grow steadily.

Currently, the market situation is quite volatile, and shares of companies associated with OpenAI have begun to decline in pre-market trading. Oracle shares fell by 5%, CoreWeave by 5%, by 4%, and by 1%.

In 2022, OpenAI was the first company to release an LLM. However, since then, a number of competitors have emerged on the market and begun to outperform ChatGPT.

Despite certain risks, OpenAI continues to sign billion-dollar contracts to secure future computing power. There is some concern regarding market developments, but OpenAI experts remain fairly optimistic about future growth in demand for AI.

Hope you found this article helpful - what do you think? Like and subscribe to our blog to get more practical tips and the latest tech news from HostZealot.

30/04/2026

has announced record-breaking figures: the profit of its semiconductor division has grown 49 times. However, the company warned of a dangerous shortage created by the AI boom, which will only intensify through 2027.

Record Results and Capacity Shortage

Samsung’s semiconductor department delivered a record profit of 53.7 trillion won ($36.15 billion). This is a noticeable jump compared to last year’s 1.1 trillion won. The company’s total revenue surged by 69% thanks to memory products, which have become scarce due to massive investment in AI infrastructure.

Samsung’s factories are operating at maximum load, and the company officially states that supply is not covering market demand. Building new production capacity requires significant time, and during that period, specifically through 2027, the gap between demand and supply is expected to become even larger than in 2026. In order to secure component deliveries, key customers are already signing multi-year contracts with Samsung.

Technological Breakthroughs and Internal Challenges
Samsung has started mass production of HBM4 chips for ’s latest Vera Rubin platform. The company expects to triple HBM sales revenue by the end of the year.

But internal challenges are overshadowing this rapid success. Workers in South Korea are considering a strike over wage levels, threatening “astronomical losses” for production. In addition, the high cost of chips has become a trap for Samsung’s other divisions: mobile business profit fell by 35% due to the sharp rise in component prices for smartphones.

Despite these risks, analysts believe Samsung’s position in the AI race has never been stronger.

29/04/2026

has introduced its own scaling and frame generation technologies for the upcoming flagship Exynos 2600 chipset. The benchmarks are impressive, but several strategic problems lie behind them.

ENSS and NFG: Samsung’s Answer to Technologies

The new Exynos 2600 processor is built on a 2nm GAA manufacturing process. It also features two new technologies: ENSS and NFG.

Exynos Neural Super Sampling (ENSS) is an upscaling
technology that works on the same principle as NVIDIA DLSS, providing a 15% performance increase.

Neural Frame Generation (NFG) is a development for generating additional frames that works similarly to NVIDIA Frame Generation. AI analyzes visual data and creates extra frames between two real ones for a smoother image refresh rate.

These technologies significantly reduce the GPU's workload, allowing the smartphone to heat up less and run longer.

Triumph in Benchmarks

The first tests of Exynos 2600 on a real Samsung Galaxy S26 prototype demonstrate good results. In the 3DMark Steel Nomad Lite test, the chip with ENSS enabled outperformed competitors by 15%. And with ray tracing activated, Exynos took first place, confirming the efficiency of the 2nm architecture.

Technologies Without Real Application, for Now

Despite the triumph on paper, this hardware currently has no real practical application. ENSS and NFG technologies are not supported by popular games. In general, the main problem is the lack of a Samsung ecosystem whose tools developers are in no rush to integrate.

Exynos 2600 is an example that Samsung is capable of creating top-tier graphics subsystems. But without active cooperation with gaming studios and the creation of convenient tools for developers, the processor risks becoming a forgotten .

29/04/2026

has introduced the Dimensity 7450 and Dimensity 7450X, but you should not expect a dramatic power leap. These chips follow the Dimensity 7400 and 7400X with a very careful upgrade strategy.

The stays the same. You get four Cortex A78 cores running at up to 2.6 GHz and four Cortex A*5 efficiency cores at 2.0 GHz. The also remains familiar, with Mali G615 MC2 handling graphics. In daily use, this means the basic speed should feel close to last year’s models.

The real difference sits in how these chips fit into future devices. The Dimensity 7450X supports dual displays, which makes it more suitable for affordable foldable phones. The regular Dimensity 7450 focuses on standard smartphones.

AI Photos and Better 5G Take the Spotlight

MediaTek wants you to notice smarter performance instead of raw benchmark gains. The company claims around 7 percent better AI performance, especially in photo processing. That could help with cleaner images, faster scene detection, and better camera tricks in budget and mid range phones.

Connectivity also gets a meaningful boost. The new 5G R17 modem replaces the older R16 version. It supports three carrier aggregation, uses power more efficiently, and can deliver up to 20 percent better performance while you are moving. It should also reconnect faster after signal drops in weak coverage areas.

Our Expert Take and What It Means for You

This update matters because cheaper phones may soon feel more polished, even without faster CPU cores. You may get better photos, stronger mobile data, and more practical foldable designs at lower prices.

Share this article with someone tracking affordable Android phones, follow us on social media, and read our latest chip coverage for more mobile tech insights.

28/04/2026

At the Cloud Next ‘26 technology conference, Google unveiled the eighth generation of its custom Tensor Processing Units (TPUs). Developed in close partnership with DeepMind, these new chips are engineered for maximum energy efficiency.

About 8t and TPU 8i

In this generation, Google has focused on narrow component specialization, introducing two processor versions: TPU 8t (Training) and TPU 8i (Inference).

- TPU 8t (Training):
This chip is designed for training large-scale neural networks. Its architecture allows for the scaling of up to 9,600 chips into a single supermodule, providing access to a massive 2 PB of memory with HBM bandwidth.

- TPU 8i (Inference):
This chip is optimized for executing pre-trained algorithms (inference) and delivers 80% higher performance compared to its predecessors. Consequently, the chip ensures zero latency and rapid response times for AI services.

Advancements in Energy Efficiency

While the new generation of chips surpasses previous solutions like Ironwood in power, it also demands more from data center power grids. To enhance efficiency, Google integrated an adaptive power management system into the TPU 8t and 8i. This allows the chips to adjust resource consumption in real-time based on task complexity.

Partnership with
Google continues to collaborate with GPU market leaders. The company confirmed it will be among the first to offer its customers access to the latest NVIDIA Vera Rubin NVL72 systems.

28/04/2026

may be moving deeper into hardware. According to analyst Ming-Chi Kuo, the company is working with MediaTek and Qualcomm on a mobile chip designed for future AI smartphones. Mass production could begin in 2028.

This chip will not simply chase raw speed. OpenAI seems focused on power efficiency, memory control, and the ability to run small AI models directly on the device. You would get faster local responses for simple tasks, while heavier requests would still go to cloud AI systems.

Why This Chip May Feel Different
The most interesting part is context. Kuo says the future phone may continuously understand what you are doing, where you are, and what you may need next. That sounds ambitious, but Qualcomm already has similar technology through its Sensing Hub.

OpenAI’s advantage could come from tighter control over its own models. If the phone mainly runs OpenAI language models, the chip can be built around those exact needs. That may reduce wasted power and improve everyday AI features.

Luxshare may become the exclusive partner for device design and production. Meanwhile, OpenAI is also developing data center with , which shows a broader plan to depend less on .

Our Expert View
We believe this could make smartphones feel less like tools and more like proactive assistants. You may see better battery life, smarter automation, and more private on device AI. But constant context awareness will also raise serious questions about privacy and trust.

Share this article with someone who follows AI hardware, and read our other stories to stay ahead of the next tech shift.

27/04/2026

Samsung Electronics recently developed the first functional DRAM chip based on sub-10-nm technology.

Lithography in the semiconductor industry

Until recently, manufacturers in the semiconductor industry were mastering 10-nm process technologies, which are ranked in the following order: 1x, 1y, 1z, 1a, 1b, 1c, and 1d. Samsung engineers have successfully created the first DRAM chip prototype using the 10a-generation process. The feature sizes will range from 9.5 to 9.7 nm.

The next phase involves the use of this new technology in 2028 for the production of memory chips. The 10a, 10b, and 10c technologies will utilize a 4F2 cell architecture as well as vertical-channel transistors. With the subsequent 10d technology, a transition to 3D DRAM is planned.

The company may face certain risks when implementing 10a, which could be related to the increased density of memory cell placement. This structure implies a 30–50% increase in cell size. In addition to obvious layout changes related to capacitor placement and the fabrication of peripheral circuits on a separate die, there will also be changes in the chemical composition of the elements. Transistor channels will be made of zinc, gallium, and indium oxide.

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27/04/2026

Intel vice president Robert Hallock believes gamers may be looking in the wrong place when they chase higher frame rates. According to him, modern gaming performance is not only about stronger processors. It also depends on how well games, Windows, drivers, background tools, and schedulers understand the hardware inside your PC.

Hallock addressed claims that some Intel hybrid CPU owners get better results after disabling E cores. He says Intel has seen those reports, but he argues that E cores are not the main issue. In Intel’s view, gaming performance on P core only setups and hybrid configurations is almost the same. Hallock puts the difference at around 1%.

Intel Wants Software to Do More of the Heavy Lifting

The bigger problem, Hallock says, sits in optimization. Many games still fail to use modern processors in the smartest way. He believes that 10% to 30% of performance can remain untapped simply because a game does not fully adapt to your CPU.

That is why Intel continues to push technologies such as Thread Director and iBOT. The company wants software to make smarter decisions about which tasks go where. Intel is also trying to improve Core Ultra 200S performance through BIOS updates, OS updates, and driver work. Its 200S Boost feature also raises fabric, die, and memory frequencies on supported Z890 platforms.

Our Take: Better Hardware Still Needs Better Software

We think Intel is pointing at a real issue. You can buy faster hardware, but poor optimization can still waste part of its potential. For gamers, this means future gains may come not only from new chips, but also from smarter updates.

AMD Ryzen X3D chips remain a tough benchmark in gaming. Still, Intel’s software push and upcoming Nova Lake S bLLC processors could make the next CPU battle more interesting.

Share this article with someone building a gaming PC, follow us on social media, and read more of our hardware coverage.

24/04/2026

For years, engineers have dreamed of stacking DRAM cells vertically, similar to how 3D NAND transformed storage. That vision has now taken a real step forward. NEO Semiconductor has created a working silicon prototype of what it calls 3D X-DRAM.

This is not just another lab experiment. The company moved from struggling to attract attention to gaining serious interest from investors and industry players. Among them is Stan Shih, the founder of Acer and a key figure in semiconductor history. Partnerships with leading Taiwanese institutions helped turn this concept into reality.

Performance That Turns Heads

The prototype shows promising numbers. Read and write latency stays under 10 nanoseconds. Data retention exceeds one second even at high temperatures, which is far beyond current standards. Endurance also reaches impressive levels.

The architecture itself is what makes you pause. A massive data bus of about 32,000 bits and stacked memory layers could deliver up to 512 gigabits per chip. Bandwidth might surpass current HBM solutions by a factor of sixteen. That kind of leap could change everything from AI workloads to everyday computing.

What This Means for You

If this technology scales, you could see faster systems with more memory and lower costs. It may also reduce the gap between high-end and consumer hardware.

In our view, this is an early but meaningful signal. The memory industry rarely changes overnight, yet breakthroughs like this often define the next decade. If companies move quickly, you may feel the impact sooner than expected.

If you found this insight useful, share it with your network and explore more of our articles for deeper tech perspectives.

24/04/2026

Due to the AI boom, Intel’s revenue has begun to grow steadily, and the company’s shares have risen by 20%. Central processing units (CPUs) have been in such high demand amid the current shortage that even older stock has been snapped up.

Intel’s earnings according to first-quarter reports

At the end of the first quarter of this year, Intel’s revenue exceeded all possible forecasts. The company stated that demand significantly outpaces supply across all business segments.

Intel’s revenue rose to $12.67 billion, representing nearly a 7.2% year-over-year increase. Before this surge, the company’s revenue had been declining year-over-year. Since the start of the year, the company’s stock has risen by more than 80%.

In the data center segment, revenue rose to $5.1 billion, representing a 22% increase. It is server products that generate the largest share of the company’s revenue. Demand for central processing units has surged due to the hype surrounding AI. Intel is attempting to increase processor production volumes, but at this stage, demand is growing faster.

Despite growing demand in the processor market, Intel’s losses for the first quarter of this year have not gone away. They reached $4.28 billion, a significant increase compared to last year. External orders were estimated at only $174 million, as Intel failed to attract a significant number of customers to its new 18A technology. There are higher expectations for Intel’s next process technology, Intel 14A; development of chips using this new technology will begin in the second half of the year.

Profit margins reached 41% last quarter, which was higher than Intel’s forecasts. The company had previously planned to cut capital expenditures, but due to new circumstances, plans to increase production capacity have emerged.

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23/04/2026

Recent studies have confirmed that the harm caused by data centers to health and the environment far outweighs the economic benefits. Last year, the damage caused by data centers cost the U.S. nearly $25 billion.

Assessment of data center investments and the extent of damage

In 2025, approximately $47 billion was invested in North American data centers. Many tech giants took out substantial loans to implement their large-scale projects. As investment and financing for data centers increase, so does their impact on the environment and the health of residents.

A researcher from Carnegie Mellon University analyzed the operations of 2,800 data centers and their pollution levels. Nicholas Muller concluded that the damage caused by data centers in 2025 amounts to approximately $25 billion. The scientist estimates the economic damage based on the potential number of premature deaths. Inhaled particulate matter directly affects public health and can increase the risk of premature death among the local population.

Many other companies around the world are also researching the negative impact of data centers. For example, the Piedmont Environmental Council commissioned a study on greenhouse gas emissions, the results of which showed that a single data center can harm human health and that the annual cost of damage can range from $53 million to $99 million.

Expected revenue for regional and local budgets is negligible due to generous tax breaks for data center developers. Some states are already losing more than $100 million a year due to these incentives.

Mueller believes that environmental costs associated with data centers will rise in the near future and could increase by 85%.

Hope you found this article helpful - what do you think? Like and subscribe to our blog to get more practical tips and the latest tech news from HostZealot.

23/04/2026

Bolt Graphics has announced the successful completion of testing for its Zeus GPU. According to the developers, the dual-chip version of this product can outperform the flagship NVIDIA RTX 5090 by five times in path tracing tasks.

Zeus will be released in two form factors: PCIe cards and 2U server configurations. There will be both single-chip models, such as “Bolt Zeus 1c26”, and dual-chip versions.RISC-V and Architectural Scalability

Unlike traditional solutions from NVIDIA or AMD, the Zeus architecture is built around RISC-V cores and specialized accelerators. The test chip was manufactured by TSMC using a 12nm (FFC) process. While this may seem outdated compared to modern 4nm or 5nm nodes, Bolt Graphics emphasizes the flexibility of the architecture, which can be adapted to 5nm in the future.

Memory Specifications and Compute Performance

Instead of expensive GDDR memory, Bolt Graphics integrates support for LPDDR5X and standard DDR5 SO-DIMM slots. This allows memory capacity to scale up to 160 GB, albeit with a bandwidth of 363 GB/s.

The effectiveness of Zeus in graphics workloads and gaming remains uncertain due to significantly lower FP32 performance compared to modern gaming GPUs. While it delivers strong FP64 (double precision) performance, FP32 (single precision) reaches only around 10 TFLOPS, which is roughly ten times lower than the RTX 5090.

Memory bandwidth limitations may also impact AI workloads.

Market Positioning
Bolt Graphics emphasizes that its solution is not a direct competitor to mainstream gaming GPUs, but rather a specialized tool for scientific computing and simulation.

The total cost of ownership (TCO) is expected to be up to 17 times lower than comparable solutions, which could attract research institutions and cloud providers. However, mass production is only planned for the fourth quarter of 2027. At this stage, the architecture remains experimental.

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