AMD to Enter Market With Energy-Efficient GPUs
AMD is about to enter the market with a new energy-efficient graphics processing unit. The H100 GPU will be shipping in October. This new eGPU is green, emission-free, and very energy-efficient. Its main goal is to balance the demands of data center computing and enthusiast gamers.
AMD to enter market with energyefficient gpu
AMD is making moves to enter the market with energy-efficient GPUs. This new design will allow for a 50 percent energy savings over current models. This will allow the company to compete with other companies that are also making GPUs. The company has a long history of producing high-performance computer equipment, and began with the Am9300 shift register in 1970. In 2006, AMD acquired ATI, a graphics card manufacturer. On October 16, 2014, AMD reorganized its business into two distinct business units: Computing and Graphics, which includes desktop and notebook processors and discrete GPUs, and Enterprise, Embedded, and Semi-Custom, which includes embedded systems and enterprise computing solutions.
AMD has been making a push into the data center market with its graphics and supercomputer products. However, it is important to remember that these GPUs are still in their early stages and that AMD is trying to balance the demands of enthusiast gamers and data center users. While this is a major step, AMD isn’t stopping there. In fact, AMD recently launched its second generation of data center GPU chips with “CDNA 2” architecture, which delivers two times the performance of its predecessor. This new design also works seamlessly with AMD’s server CPU chips. It complements AMD’s overall data center strategy, and it is expected to further bolster its share of the market over the coming years.
AMD has also been targeting the growing middle market. While high-end gaming systems remain the leader with a 43% share, mid-range and budget-conscious consumers make up a third of the overall market. This growth is a good sign for AMD and it has been expected to continue into the second half of the year. AMD has also committed to introducing its high-end RDNA 3 GPUs later this year.
High-end gaming PCs are notorious energy hogs, and AMD hopes to make its chips 25 times more efficient over the next four years. Currently, AMD has a Radeon RX 480 graphics card that is designed to cut down power consumption during low-intensity tasks. It’s 2.8 times more efficient than its predecessor, the Radeon RX 390.
Nvidia’s Tegra GPUs have helped push self-driving technology
With its new Drive PX architecture, Nvidia’s Tegra GPUs are helping to push the field of self-driving technology. This technology uses machine learning and neural networks to identify objects around the car and make it easier to detect things like pedestrians and traffic lights. It also has the ability to improve image recognition over time. Audi plans to use this technology in its vehicles next year.
The company also introduced the Drive PX 2 system that will allow self-driving cars to better understand their environment. This will make the process of integrating this technology easier for car manufacturers. Nvidia has also unveiled a new in-vehicle system called the Tegra Visual Computing Module, which will power an automotive-grade tablet and a high-resolution cockpit with unprecedented 3D graphical displays. The Tegra VCM incorporates a multicore GPU and dedicated audio, video, and image processors.
Nvidia’s keynotes have focused on mobile devices, tablets, and automotive. In addition, the Tegra X1 mobile chip was unveiled at CES. While Nvidia’s end goal is to dominate the market for self-driving cars, it recognizes that it needs to add value in the interim. This may be why it’s saving mobile content for Mobile World Congress, which is coming up in March.
Nvidia’s Tegra GPUs are used in numerous smartphones and tablets. The company has also used them in the Model S sedan. They power the touchscreen, as well as many car infotainment systems. Its management estimates that there are five to six million cars with Tegra GPUs.
The Tegra X1 chip has twice the processing power of its predecessor. This new chip has a teraflop of computing power, which is equivalent to ten thousand Pentium Pros. This chip is fully programmable, and will also allow for over-the-air software updates.
While Nvidia is known for making graphics processors for games, its new technology is now helping push the field of self-driving cars. NVIDIA is shipping development kits to luxury car companies, which are used to train prototypes of self-driving cars.
Nvidia’s H100 GPU is slated to begin shipping in October
While Nvidia is eager to fulfill orders for its high-end GPU accelerators, the US government has put limits on its ability to reach certain key customers, including Chinese consumers. In an effort to ease the sting of the restrictions, the US government has granted the company a transition period during which it will still be able to supply its H100 GPU and A100 chips to Chinese companies.
The H100 GPU is a high-performance GPU designed for data-center tasks. While Nvidia has not disclosed specific details about its CUDA core count, clock speed, or die size, the GPU boasts a whopping 80 billion transistors, compared to the Volta-based A100’s 54.2 billion transistors and the Ampere-based A100’s twenty-one billion transistors.
NVIDIA also announced that it will start shipping its H100 GPU in October. The GPU has been tested and validated by GIGABYTE, and will be sold in 2U and 4U servers. The new GPUs will support up to eight H100 GPUs. NVIDIA also plans to release a new platform based on the H100 GPU called the HGX H100 platform.
The GPU will be available in two variants, SXM and PCIe. The SXM variant will feature HBM3 memory while the PCIe version will feature HBM2e memory. Ultimately, both versions of the GPU are expected to offer similar performance and price.
The first systems based on the H100 GPU will be shipped in October for PCIe-based systems. NVIDIA is also planning to release the H100 GPU in its NVLink HGX platforms later in the year. A representative for NVIDIA said that the delay is due to the complexity of the HGX solution.
The GPU features NVLink, a new high-bandwidth, energy-efficient interconnect. It also introduces a new network address space. New NVLink address translation hardware in the H100 GPU allows virtual functions to access the same GPU as a peer GPU.
As an added bonus, NVIDIA has made improvements to its enterprise AI software services. Riva, for example, will allow businesses to implement speech recognition and text-to-speech. In addition, NVIDIA teased that it’s building a new AI supercomputer. The Eos supercomputer will feature 4,600 H100 GPUs, and is expected to be online within a few months.
Nvidia’s eGPU is green, emission free, and very energy efficient
Nvidia’s eGPU technology is a green, energy-efficient solution for datacenters. The company claims it can produce the same amount of performance as a CPU while using less energy. This technology can also reduce the amount of water used in cooling systems.
It works by using a proprietary connector to transfer data. This connector also eliminates bottlenecks in the data-transfer process. It supports high-speed data transfers and has four USB Type-A ports, an SD card reader, and a gigabit Ethernet jack. It also includes HDMI 2.0a and DisplayPort 1.4 outputs. The eGPU can also be used as a hub to power up to four monitors.
The Nvidia eGPU is designed to work with a modern laptop with a decent processor and good graphics card. However, it is important to note that older laptops may not be compatible with eGPUs.