TheLostSwede
News Editor
- Joined
- Nov 11, 2004
- Messages
- 17,769 (2.42/day)
- Location
- Sweden
| System Name | Overlord Mk MLI |
|---|---|
| Processor | AMD Ryzen 7 7800X3D |
| Motherboard | Gigabyte X670E Aorus Master |
| Cooling | Noctua NH-D15 SE with offsets |
| Memory | 32GB Team T-Create Expert DDR5 6000 MHz @ CL30-34-34-68 |
| Video Card(s) | Gainward GeForce RTX 4080 Phantom GS |
| Storage | 1TB Solidigm P44 Pro, 2 TB Corsair MP600 Pro, 2TB Kingston KC3000 |
| Display(s) | Acer XV272K LVbmiipruzx 4K@160Hz |
| Case | Fractal Design Torrent Compact |
| Audio Device(s) | Corsair Virtuoso SE |
| Power Supply | be quiet! Pure Power 12 M 850 W |
| Mouse | Logitech G502 Lightspeed |
| Keyboard | Corsair K70 Max |
| Software | Windows 10 Pro |
| Benchmark Scores | https://valid.x86.fr/yfsd9w |
DEEPX (CEO, Lokwon Kim), an original AI semiconductor technology company, is announcing that it has surpassed 40 customers for its flagship chip solution, DX-M1—the only AI accelerator on the market to combine low power consumption, high efficiency and performance, and cost-effectiveness. The groundbreaking solution has been deployed for a hands-on trial to this customer pool, which spans global companies and domestic Korean enterprises across various sectors.
DEEPX is currently running an Early Engagement Customer Program (EECP) to provide customers with early access to its small camera module, a one-chip solution featuring DX-V1; M.2 module featuring DX-M1; and DXNN, the company's developer environment. This allows customers to receive pre-production validation of DEEPX's hardware and software, integrate them into mass-produced products, and realize AI technology innovations with the brand's technical support.
Currently, DEEPX's DX-M1 has been installed for pre-qualification testing in the mass production and development products of more than 40 global companies, covering robotics and smart mobility, AI video security systems, and AI servers. In particular, the robotics and smart mobility sectors increasingly require state-of-the-art, low-power, high-performance AI chips like DX-M1 that can be embedded in small form factors to enable highly advanced technologies such as autonomous driving and cognition.
The physical security market has one of the fastest AI penetration rates, making it essential to realize AI functions at the semiconductor level, such as object detection and intelligent video analysis. In this industry, DEEPX's DX-M1, which uses a 5 nm process, is the only one of its kind available, delivering an impressive power-to-performance ratio that far surpasses current market offerings. It supports real-time AI computational processing at over 30 frames-per-second (FPS) for more than 16 channels of multichannel video data on a single chip, and can process multiple AI algorithms simultaneously, such as object recognition and image classification. Moreover, unlike other AI chips, it has a wide spectrum of AI models supported, from the most popular YOLOv5 model for object recognition to the latest YOLOv8 and vision transformer models. Combining these technologies and advantages, DX-M1 leads the market through a blend of high efficiency and performance, low power consumption through its original technology, and cost effectiveness, all of which are critical for customers looking for AI chips.
While competing AI chips in the market currently use 32 MB to 50 MB of cache memory, DX-M1 only uses approximately one quarter of the cache memory, while also adding the advantages of AI chips such as computational processing power, compute accuracy, and support for a wide range of AI algorithms. (See table below).
The DX-M1 is also available in a compact M.2 module that can be quickly and easily plugged into existing embedded systems, allowing customers to easily upgrade to low-power, high-performance AI solutions without changing their existing systems.
As a testament to its potential impact on the market, the DX-M1 was honored with CES Innovation Awards 2024 in both the Embedded Technology and Robotics, adding DEEPX to a list of honorees that includes top-tier global brands.
As the company expands globally, DEEPX will showcase DX-M1's full potential and more at Booth #8953, North Hall during CES 2024, January 9-12, 2024 in Las Vegas, NV.
View at TechPowerUp Main Site | Source
DEEPX is currently running an Early Engagement Customer Program (EECP) to provide customers with early access to its small camera module, a one-chip solution featuring DX-V1; M.2 module featuring DX-M1; and DXNN, the company's developer environment. This allows customers to receive pre-production validation of DEEPX's hardware and software, integrate them into mass-produced products, and realize AI technology innovations with the brand's technical support.
Currently, DEEPX's DX-M1 has been installed for pre-qualification testing in the mass production and development products of more than 40 global companies, covering robotics and smart mobility, AI video security systems, and AI servers. In particular, the robotics and smart mobility sectors increasingly require state-of-the-art, low-power, high-performance AI chips like DX-M1 that can be embedded in small form factors to enable highly advanced technologies such as autonomous driving and cognition.
The physical security market has one of the fastest AI penetration rates, making it essential to realize AI functions at the semiconductor level, such as object detection and intelligent video analysis. In this industry, DEEPX's DX-M1, which uses a 5 nm process, is the only one of its kind available, delivering an impressive power-to-performance ratio that far surpasses current market offerings. It supports real-time AI computational processing at over 30 frames-per-second (FPS) for more than 16 channels of multichannel video data on a single chip, and can process multiple AI algorithms simultaneously, such as object recognition and image classification. Moreover, unlike other AI chips, it has a wide spectrum of AI models supported, from the most popular YOLOv5 model for object recognition to the latest YOLOv8 and vision transformer models. Combining these technologies and advantages, DX-M1 leads the market through a blend of high efficiency and performance, low power consumption through its original technology, and cost effectiveness, all of which are critical for customers looking for AI chips.
While competing AI chips in the market currently use 32 MB to 50 MB of cache memory, DX-M1 only uses approximately one quarter of the cache memory, while also adding the advantages of AI chips such as computational processing power, compute accuracy, and support for a wide range of AI algorithms. (See table below).
The DX-M1 is also available in a compact M.2 module that can be quickly and easily plugged into existing embedded systems, allowing customers to easily upgrade to low-power, high-performance AI solutions without changing their existing systems.
As a testament to its potential impact on the market, the DX-M1 was honored with CES Innovation Awards 2024 in both the Embedded Technology and Robotics, adding DEEPX to a list of honorees that includes top-tier global brands.
As the company expands globally, DEEPX will showcase DX-M1's full potential and more at Booth #8953, North Hall during CES 2024, January 9-12, 2024 in Las Vegas, NV.
View at TechPowerUp Main Site | Source
