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Designing and building the world’s smallest custom gaming PC

Designing and building the world's smallest custom gaming PC

In the world of PC gaming, enthusiasts are constantly pushing the boundaries of what’s possible. The latest trend is to pack the punch of a high-performance gaming system into a space no larger than a shoebox. This quest for compact power is not just a display of technical skill but also a reflection of the creativity that thrives within the gaming community.

At the heart of this latest project by custom PC maker Optimum is the goal to build an incredibly small gaming PC that doesn’t compromise on speed or quality. Optimum took on the challenge of shrinking the traditional gaming setup while ensuring it can still handle the most graphically intense games on the market. The key component in the miniature gaming machine is the RTX 4060 graphics card. Despite its small size, this card is a beast, capable of delivering the smooth, high-resolution gameplay that gamers crave. It’s an essential piece of the puzzle, allowing Optimum to maintain a tiny footprint without losing out on performance.

Another critical element is the motherboard. Optimum chose an ITX motherboard, which is renowned for its compact size. This board comes equipped with specially designed heat sinks that are low-profile, ensuring that our system remains slim and sleek while also keeping the heat down.

World’s smallest gaming PC

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Cooling is a major concern in such a small system, and Optimum addressed this with the Alpenfohn Black Ridge CPU cooler. It’s a compact cooler that’s surprisingly effective at managing heat, ensuring that the world’s smallest gaming PC stays cool even when the gaming action heats up.

Powering the tiny PC system is the HDPLEX ATX power supply, a 250W unit that’s impressively small and passively cooled. This means we don’t need to add extra fans, which helps us keep the size of our gaming PC as small as possible.

The innovation doesn’t stop with the internal components. Optimum also designed a custom PC case using 3D modeling to ensure every inch of space is used efficiently. Optimum chose ABS filament for the 3D printing because it’s more heat-resistant than PLA, reducing the risk of melting under high temperatures. Optimum even paid attention to the small details, like the mechanical key switch for the power button. It’s a small touch, but it adds a satisfying click and ensures the system is built to last.

Ventilation is key in a compact build, and Optimum strategically designed vents to keep cool air flowing in and hot air flowing out. This helps prevent overheating, which is crucial in a tightly packed space. The design of the PC isn’t just about function; it’s also about form. Optimum created a case that’s not only technologically advanced but also visually appealing, making a statement on any gamer’s desk.

This project by PC maker Optimum is more than just creating a small gaming PC. It’s about inspiring a wave of innovation, encouraging gamers and builders to think differently about the size of their rigs. It’s about proving that you don’t need a giant tower to experience top-tier gaming. It’s about setting a new standard for what’s possible in compact computing and inviting others to join us in this exciting journey. If you have built any similar small form factor gaming PCs please drop a link in the comments below.

Image Credit : Optimum

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Designing logos with words using DallE 3 and ChatGPT

Designing logos with words using DallE 3 and ChatGPT 2024

If you are interested in quickly creating new logos for your next business idea you might be interested to know that you can utilize the power of DallE 3 and ChatGPT to help you generate ideas or even a final solution. Enabling you to brainstorm a variety of different ideas quickly and effectively before employing a professional designer to create your final brand.

One thing AI has struggled with in the past is combining imagery and words together from prompts. However DallE 3 is becoming much better at doing this and is finally showing improvements in this area. As you can see from the image above which is been created using Midjourney you need to modify your final logo by placing in your name in a matching font. However DallE 3 allows you to use text prompts and conversation to craft your logo complete with words.

With the new OpenAI Dall-E 3 AI art generator, you can create a wide range of visual ideas and concepts based on textual descriptions, providing a visual springboard for your branding ideas. Meanwhile, ChatGPT can assist in refining these ideas, offering suggestions on design elements, color schemes, and typography, ensuring that your initial concepts are both creative and aligned with your brand’s ethos.

Designing logos with words using AI

Watch the tutorial below created by metricsmule to learn more about how you can use DallE 3 to create unique logos complete with words using the ChatGPT large language model. This process allows for the rapid exploration of diverse design options, helping you to quickly change and evolve your ideas. Once you have a clear direction, you can then collaborate with a professional designer who can take these AI-generated concepts and polish them into a sophisticated and polished final logo. This blend of AI-driven creativity and professional design expertise ensures that your brand’s identity is both unique and professionally crafted.

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Tips when designing logos

A few things worth considering when you are designing logos with words for your brand or business.

  • Simplicity: A simple design facilitates quick recognition and allows the logo to be versatile and memorable. It doesn’t mean the logo should lack creativity or depth, but it should avoid complex graphics or too many colors and fonts. Apple’s logo, for example, is renowned for its simplicity and instant recognition.
  • Readability: The primary function of a word-based logo is to convey the brand’s name clearly. Regardless of the design’s artistic merits, if people can’t read or understand the logo at different sizes, it fails its basic function. This entails choosing fonts and sizes that remain legible across all applications, from a tiny logo in a website’s header to a large sign on a storefront.
  • Font Choice: The font is a powerful tool to convey the brand’s personality. Serif fonts, like those used by The New York Times, suggest tradition and reliability, while sans-serif fonts, used by companies like Google, convey a more modern and clean look. The choice of font should align with the brand’s character and industry expectations.
  • Color Scheme: Colors carry psychological connotations. For instance, blue often represents trust and stability and is popular in corporate logos. Green can suggest health and sustainability. The choice of colors should not only align with the brand’s identity but also be adaptable to various backgrounds and formats. Consideration of how the logo looks in monochrome is also crucial for certain applications.
  • Scalability: A logo must maintain its effectiveness whether it’s on a giant billboard or a small promotional pen. This scalability is a crucial aspect of the design process. For example, the Nike swoosh or McDonald’s arches are recognizable at any size.
  • Uniqueness and Originality: The logo should set a brand apart from its competition. It should avoid generic designs and instead aim to capture the unique aspects of the brand’s identity. This uniqueness helps in building a distinctive brand image.
  • Versatility: The logo should be functional across a variety of mediums and applications. It should work in digital formats, on print materials, on merchandise, and in both color and black and white. This requires thoughtful design to ensure consistency across all platforms.
  • Brand Consistency: The logo should be in harmony with the overall brand image, including the company’s messaging, website design, and marketing materials. This consistency helps in building a coherent brand identity.
  • Cultural Sensitivity: The logo should be designed with an awareness of cultural implications, including the meanings of colors and symbols in different cultures, to avoid unintended offenses or misinterpretations. This is especially important for brands with a global presence.
  • Timelessness: Aim for a logo design that withstands the test of time. Trendy designs can become outdated quickly. A timeless logo, like Coca-Cola’s, remains effective over many years, potentially with minor updates to keep it fresh.

the combination of Dall-E 3 and ChatGPT for designing word-based logos offers an exciting and accessible pathway for anyone, regardless of their design expertise. The beauty of this approach lies in its simplicity and effectiveness. You don’t need to be a professional designer to create a logo that captures the essence of your brand. By using these AI tools, you can turn your ideas into visual realities. You start by giving Dall-E 3 simple instructions or prompts about what you want. It could be something like “I want a logo with the word ‘Eco’ that suggests sustainability and nature.” Dall-E 3 then uses your words to generate various logo designs.

But it’s not just about creating a bunch of options. With ChatGPT, you can refine these ideas further. If you see a design you like but think it needs a little tweaking, ChatGPT can help you adjust your prompts to get closer to what you’re imagining. This means you can keep improving your logo until it’s just right.

What’s really great about using Dall-E 3 and ChatGPT is that it makes logo design fast and fun. You can try out lots of different ideas quickly, without spending hours drawing or editing. It’s like having a conversation where you explore different styles and concepts until you find the perfect fit for your brand.

Once you have a design that you love, you can always take it to a professional designer for those final touches. They can polish your AI-generated logo, making sure it looks professional and is ready to represent your brand to the world. In short, using Dall-E 3 and ChatGPT for your logo design is a smart, creative, and efficient way to bring your brand’s identity to life. It opens up a world of possibilities, allowing you to

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Designing the new Raspberry Pi 5 POE+ HAT

Raspberry Pi 5 POE HAT

The Raspberry Pi has been a game-changer in the world of single-board computers, offering a low-cost, high-performance solution for hobbyists, educators, and professionals alike. The latest iteration of this innovative device, the Raspberry Pi 5, has brought with it a new addition to its line of hardware accessories: the Raspberry Pi 5 POE+ HAT. This device is designed to provide both power and network connectivity to the Raspberry Pi over a single cable, eliminating the need for a separate power supply.

Senior Principal Hardware Engineer Dominic Plunkett and Raspberry Pi founder Eben Upton discussed the design and functionality of the Raspberry Pi POE+ HATs, explaining the evolution of the hardware across three generations. The most recent version, the POE+ HAT for Raspberry Pi 5, offers a highly efficient conversion on a board with a minimal L-shaped footprint. This design allows it to fit neatly inside the case for Raspberry Pi 5, even with its integrated fan.

New Raspberry Pi 5 POE+ HAT

The Raspberry Pi 5 mini PC is a powerful device with impressive specifications. Inside, it houses a Broadcom BCM2712 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU, complete with cryptography extensions, 512KB per-core L2 caches, and a 2MB shared L3 cache. The VideoCore VII GPU supports OpenGL ES 3.1 and Vulkan 1.2, offering robust graphics capabilities.

The Raspberry Pi 5 also boasts dual 4Kp60 HDMI display output with HDR support, a 4Kp60 HEVC decoder, and LPDDR4X-4267 SDRAM, with 4GB and 8GB SKUs available at launch. It includes dual-band 802.11ac Wi-Fi, Bluetooth 5.0, and Bluetooth Low Energy (BLE) for connectivity.

Storage is provided via a microSD card slot, which supports hig”h-speed SDR104 mode. The device also features two USB 3.0 ports, supporting simultaneous 5Gbps operation, and two USB 2.0 ports. For network connectivity, it offers Gigabit Ethernet, with PoE+ support that requires the separate PoE+ HAT.

Pi 5 mini PC

Raspberry Pi 5 mini PC

Features and specifications of the Raspberry Pi 5

  • 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU
  • VideoCore VII GPU, supporting OpenGL ES 3.1, Vulkan 1.2
  • Dual 4Kp60 HDMI® display output
  • 4Kp60 HEVC decoder
  • Dual-band 802.11ac Wi-Fi®
  • Bluetooth 5.0 / Bluetooth Low Energy (BLE)
  • High-speed microSD card interface with SDR104 mode support
  • 2 × USB 3.0 ports, supporting simultaneous 5Gbps operation
  • 2 × USB 2.0 ports
  • Gigabit Ethernet, with PoE+ support (requires separate PoE+ HAT, coming soon)
  • 2 × 4-lane MIPI camera/display transceivers
  • PCIe 2.0 x1 interface for fast peripherals
  • Raspberry Pi standard 40-pin GPIO header
  • Real-time clock
  • Power button

The Raspberry Pi 5 also includes two 4-lane MIPI camera/display transceivers, a PCIe 2.0 x1 interface for fast peripherals (which requires a separate M.2 HAT or other adapter), and 5V/5A DC power via USB-C, with Power Delivery support. It also maintains the Raspberry Pi standard 40-pin header, a real-time clock (RTC) powered from an external battery, and a power button.

The new Raspberry Pi 5 POE+ HAT is a testament to the ongoing innovation and development in the Raspberry Pi ecosystem. By providing power and network connectivity over a single cable, it simplifies the setup process and reduces clutter, while maintaining the performance and versatility that Raspberry Pi users have come to expect. As the Raspberry Pi continues to evolve, it will be interesting to see what other enhancements and accessories will be introduced to further enhance this versatile mini PC.

Image Source: Raspberry Pi

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OpenAI considering designing its own AI chips

OpenAI considering designing its own AI chips

OpenAI, a leading artificial intelligence research lab, is reportedly considering the development of custom AI chips to address its ongoing struggle with GPU supply. This move, while potentially beneficial, is fraught with challenges and complexities. It reflects a broader trend among large tech companies, such as Tesla, Apple, and Huawei, who are increasingly designing custom silicon chips in-house. However, the path to successful chip design and production is not straightforward and involves significant investment, time, and expertise.

The supply of GPUs, which are critical for training AI models, has been a persistent issue for OpenAI. The demand for these chips has outpaced supply, leading to a bottleneck in AI system scaling. This has prompted OpenAI to explore alternatives, including the development of its own AI chips. However, replacing Nvidia GPUs, which are currently the industry standard, with high-performance custom chips is a complex task. It involves designing circuits, taping out the chip, designing the compiler, and creating a high-level framework for training AI models.

OpenAI AI chips

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The time required to design and produce a useful chip is substantial. Estimates suggest that it could take OpenAI between 3-5 years to develop a chip that could effectively meet its needs. This timeline is not unusual in the chip industry. For instance, Tesla embarked on a similar project in 2021 to design its own AI accelerators in-house. However, as of 2023, this project is still in development, demonstrating the lengthy process involved in chip design and production.

Even if OpenAI successfully designs its own AI chips, it would still face the challenge of securing wafer fabrication capacity. This is a competitive space, with tech giants like Nvidia and Apple also vying for the same resources. The competition extends beyond fabrication capacity, with companies like Intel and AMD also showing interest in the lucrative AI chip market.

Graphcore IPU

Given the high stakes and low probability of success in chip design, OpenAI may consider acquiring an AI chip startup. Companies like Graphcore or similar, which already have experienced teams and established processes, could be potential acquisition targets. This approach could potentially expedite OpenAI’s entry into the AI chip market.

Collaboration is another avenue that OpenAI could explore. For instance, a partnership with AMD could result in the design of customized chips specifically tailored to OpenAI’s workloads. This approach could leverage AMD’s existing expertise and resources, reducing the time and investment required for OpenAI to develop its own chips.

Microsoft Athena AI chip

Interestingly, Microsoft is also reportedly working on its own AI chip, Athena. This move is largely driven by Nvidia’s dominance in the AI chip market, which currently controls over 80% of the market share. If successful, OpenAI could potentially use Microsoft’s chip for their workloads, providing another alternative to the current GPU supply issue.

The high demand for AI chips is driving many companies to develop their own custom silicon. This trend is likely to continue as AI applications become increasingly prevalent and the need for high-performance chips grows. However, the competition is fierce, with Nvidia continuously working on the next generations of their AI accelerators. This makes it challenging for new entrants to the market, including OpenAI, to gain a foothold.

OpenAI’s potential development of custom AI chips represents a significant shift in its strategy to address its GPU supply issues. However, the path to successful chip design and production is fraught with challenges, including the complexity of the design process, competition for wafer fabrication capacity, and the heavy investment required. Whether OpenAI chooses to develop its own chips, acquire a startup, or collaborate with another company, it will be a significant undertaking that will shape the future of the organization and potentially the broader AI chip market.

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