L4 , 24GB GDDR6, 70W (ATX Full height bracket)
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ASUS Product ID: 90SKC000-M7NAN0
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ASUS Product ID: 90SKC000-M58AN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM5
GPUs
ASUS Product ID: 90SKC000-M5AAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM6
GPUs
ASUS Product ID: 90SKC000-M5DAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM8
GPUs
ASUS Product ID: 90SKC000-M5EAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM19
GPUs
ASUS Product ID: 90SKC000-M5FAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM9
GPUs
ASUS Product ID: 90SKC000-M5KAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM7
GPUs
ASUS Product ID: 90SKC000-M5LAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM21
GPUs
ASUS Product ID: 90SKC000-M5NAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM23
GPUs
ASUS Product ID: 90SKC000-M5SAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM10
GPUs
ASUS Product ID: 90SKC000-M5TAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM4
GPUs
ASUS Product ID: 90SKC000-M6TAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM14
GPUs
ASUS Product ID: 90SKC000-M6UAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM22
GPUs
ASUS Product ID: 90SKC000-M6VAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM24
GPUs
ASUS Product ID: 90SKC000-M6WAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM25
GPUs
ASUS Product ID: 90SKC000-M6XAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM26
GPUs
ASUS Product ID: 90SKC000-M71AN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM28
GPUs
ASUS Product ID: 90SKC000-M78AN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM20
GPUs
ASUS Product ID: 90SKC000-M79AN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM27
GPUs
ASUS Product ID: 90SKC000-M7LAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM3
GPUs
ASUS Product ID: 90SKC000-M7MAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM11
GPUs
ASUS Product ID: 90SKC000-M7YAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM15
GPUs
ASUS Product ID: 90SKC000-M7ZAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM12
GPUs
ASUS Product ID: 90SKC000-M8GAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM16
GPUs
ASUS Product ID: 90SKC000-M8HAN0
Graphics Engine: Hopper BUS: PCIe 5.0 x16 Memory size: 80 GB Memory type: HBM17
GPUs
Achieve Computational Breakthroughs Through Our GPU Solutions
GPU computing utilizes graphics processing units for more than just
rendering visuals, capitalizing on their ability to execute multiple tasks in parallel. Boasting
thousands of cores, perfectly suited for handling complex, large-scale data sets and repetitive
tasks efficiently.
This parallel processing capability is key for a broad spectrum of applications, from
scientific simulations and data analysis to machine learning and graphics design. By working in
tandem with CPUs, where the GPU takes on the heavy lifting for compute-intensive tasks, processing
speeds are greatly enhanced.
Such a collaborative approach has cemented GPU computing as an essential component of
high-performance computing (HPC) environments, particularly for powering AI-driven tasks and
analyses in various fields. This synergy not only speeds up computations but also expands the
potential for groundbreaking discoveries and innovations across industries.
NVIDIA GPU A100
The NVIDIA A100 80GB Graphic Card is a highly advanced GPU designed for the most demanding computational tasks.
| Feature | Specification |
|---|---|
| CUDA Cores | 6912 |
| Memory | 80 GB HBM2e |
| Memory Bus Width | 5120 bit |
| Multi-GPU Technology | NVLink |
| API Supported | OpenCL, OpenACC, DirectCompute |
| Number of GPUs | 7 |
| Host Interface | PCI Express 4.0 x16 |
| Power Supply Wattage | 300 W |
| Power Connector | 1x 8-pin |
| Cooler Type | Passive Cooler |
| Form Factor | Plug-in Card |
| Platform Supported | PC, Linux |
| Environmental Certification | RoHS |
| MPN | 900-21001-0020-100 |
Collaboration GPU & CPU
In GPU computing, the CPU oversees the program while offloading tasks to the GPU that are suited for parallel processing, such as:
Complex mathematical computations and numerical simulations
Advanced image and video processing tasks
Extensive data analysis involving large datasets
The GPU steps in to manage specific operations, distributing them across multiple cores for simultaneous execution, thus enhancing overall processing efficiency.
7 Benefits of GPU Computing
GPU computing delivers key advantages across various sectors, highlighted as follows:
With thousands of cores, GPUs excel at parallel processing, handling numerous calculations at once.
This technology speeds up the analysis of complex workloads, crucial for time-sensitive tasks like medical imaging or financial trading.
Scaling GPU solutions is straightforward; adding more GPUs or clusters expands system capabilities efficiently.
Accelerates AI model training, enabling the development of sophisticated AI applications.
Vital for producing high-quality 3D graphics and visual effects in gaming, simulations, and virtual reality.
Compared to CPU-only systems, GPUs achieve similar computational power more economically, reducing hardware and energy costs.
Incorporating GPUs into HPC clusters significantly enhances their calculation speed, essential for demanding computational tasks across various sectors.
Programming Models and Memory Management
Developers leverage GPU programming models to utilize its parallel processing, with popular frameworks including:
CUDA: Nvidia's platform for parallel computing, offering tools and libraries
ROCm: AMD's open-source platform for GPU computing
SYCL: A C++ framework for developing applications on GPUs
OpenCL: An open standard that supports parallel programming across different brands
GPUs feature a unique memory hierarchy to manage data efficiently, transferring it from the CPU to the GPU's memory to minimize latency and maximize performance.
Let's Start the Conversation!
We can't wait to talk to you about how
ServerDirect can empower your teams and organization to achieve their maximum potential.
At ServerDirect, we specialize in providing top-notch hardware server solutions and services
tailored to meet your unique needs. Our seasoned and professional experts are dedicated to guiding you every
step of the way, ensuring you find the perfect solution for your requirements. With our experienced tech team
and 24/7 support, you can trust that you're in good hands. As the market leader in Europe, we're committed to
delivering excellence in everything we do. Get in touch with us today to experience the ServerDirect
difference.
Try before you Buy
We understand that investing in the right server solution is a crucial decision for your business. That's why we offer an exclusive "Test Drive" program, giving you the opportunity to experience our state-of-the-art server hardware and software solutions in your own environment before making a purchase.
Test Drive our Solutions
Personalize Your Server
Make your server uniquely yours. We offer personalization options including custom stickers, colored brackets, and BIOS logo customization. Enhance the aesthetic of your server to match your style and branding.
Read More About Personalization
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