HPE NVIDIA Tesla T4 Graphic Card - 16 GB GDDR6
USD 1041
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NVIDIA accelerators provide increased computational performance, improved display refresh rates, and rich graphics in virtualized environments.
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Detalles de producto
| Graphics Coprocessor | NVIDIA Tesla T4 |
| Graphics Card Ram | 16 GB |
| Video Output Interface | PCI Express is not a valid `video_output_interface` value. The correct value for this product likely HDMI or DisplayPort. |
| Graphics Ram Type | GDDR6 |
| Compatible Devices | PC |
| Graphics Card Interface | PCI Express |
| Memory Clock Speed | 1250 MHz |
| Display Maximum Resolution | 3840x2160 |
| Display Resolution Maximum | 3840x2160 or higher |
| Item Dimensions L x W | 19.3"L x 15"W (49 cm) |
| Brand | HP |
| Video Processor | NVIDIA |
| Antenna Location | machine learning, deep learning training and inference, high-performance computing, graphics and data analytics |
| Built-In Media | Information Not Available |
| Model Name | NVIDIA Tesla T4 16GB Computational Accelerator |
| Graphics Description | NVIDIA Tesla T4 16GB Computational Accelerator |
| Manufacturer | HPE BTO SERVER OPTIONS |
| UPC | 190017424026 |
| Mfr Part Number | R0W29C |
| Model Number | R0W29C |
| Unit Count | 1.0 Count |
| Item Weight | 1 Pounds (450 grams) |
| Graphics Ram Size | 16 GB |
| Video Output Interface | PCI Express is not a valid `video_output_interface` value. The correct value for this product likely HDMI or DisplayPort. See more |
| Graphics Processor Manufacturer | NVIDIA |
Who Should Buy?
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AI Developers
Ideal for artificial intelligence projects requiring high performance and efficiency in training neural networks and deep learning models.
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Data Scientists
Great for data analysis and visualization workloads, enabling faster processing and rendering of large datasets.
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Cloud Service Providers
Perfect for companies providing GPU-accelerated services, delivering superior performance for virtual machines and applications.
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Casual Gamers
Not optimized for gaming, offering less performance in gaming environments compared to consumer-grade graphics cards.
DESCRIPCIÓN DEL PRODUCTO
HPE NVIDIA Tesla T4 Graphic Card - 16 GB GDDR6
Preguntas y respuestas de los clientes
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Pregunta:
What is the HPE NVIDIA Tesla T4 Graphic Card used for?
Respuesta: The HPE NVIDIA Tesla T4 Graphic Card is designed specifically for workloads in artificial intelligence, machine learning, and deep learning applications. Its architecture enables advanced inference performance and high-throughput workloads, making it ideal for data centers or cloud-based environments. For example, data scientists can leverage the T4’s abilities to accelerate AI model training, reducing time to insights significantly. This makes it a great choice for businesses looking to enhance their computational capabilities. -
Pregunta:
What are the key features of the HPE NVIDIA Tesla T4?
Respuesta: The HPE NVIDIA Tesla T4 features 16 GB of GDDR6 memory and is powered by the Turing architecture, which enables efficient processing of diverse workloads. It includes Tensor Cores, enabling mixed-precision computing for AI training and inference. This graphic card is also optimized for GPU virtualization, allowing multiple users to benefit from a single card's performance. Organizations can maximize resource utilization by deploying the T4 in multiple applications simultaneously, including training neural networks and real-time inferencing. -
Pregunta:
How does the Tesla T4 perform in machine learning tasks?
Respuesta: The Tesla T4 excels in machine learning tasks due to its Tensor Cores, which are designed to accelerate AI computations. With support for frameworks like TensorFlow and PyTorch, the T4 greatly enhances the training speed of deep learning models, allowing data scientists to experiment and iterate faster. For instance, a company could deploy the Tesla T4 to quickly train a natural language processing model, significantly improving response times and accuracy in real-world applications. -
Pregunta:
Can the Tesla T4 be used for gaming?
Respuesta: While the Tesla T4 is primarily focused on AI and data center applications, it is not designed for traditional gaming use. Its optimizations cater to workloads that require heavy computational power rather than rendering graphics for interactive gameplay. However, some developers might utilize it in rendering tasks within game development, especially for creating AI-driven characters or environments, but for gaming, dedicated gaming GPUs are preferable. -
Pregunta:
What are the compatibility requirements for the Tesla T4?
Respuesta: The Tesla T4 typically requires a PCIe 3.0 x16 slot for installation, along with a compatible workstation or server that supports GPU acceleration. Moreover, it is essential to have adequate power supply and cooling systems in place, as high-performance tasks can generate significant heat. Organizations should consult their server or workstation specifications to ensure they can fully harness the T4's capabilities, leading to enhanced performance in demanding applications. -
Pregunta:
Is the Tesla T4 suitable for virtual desktop infrastructure (VDI)?
Respuesta: Yes, the Tesla T4 is exceptionally well-suited for virtual desktop infrastructure (VDI) due to its support for GPU virtualization. This allows multiple virtual desktops to share the same GPU resources without compromising performance. For enterprises, deploying Tesla T4 cards in their VDI setups can enhance the user experience, particularly for applications that require intensive graphics processing, such as CAD or professional design software. This approach also maximizes resource utilization across the organization. -
Pregunta:
What type of industries benefit from using the Tesla T4?
Respuesta: Several industries can benefit from the HPE NVIDIA Tesla T4, including healthcare, finance, autonomous vehicles, and entertainment. In healthcare, the T4 can analyze medical imaging much faster, helping speed up diagnosis, while in finance, it can assist in algorithmic trading analysis. The automotive sector utilizes the T4 for training machine learning models for autonomous vehicles, and the entertainment industry can leverage its capabilities for rendering and visual effects, enhancing overall efficiency. -
Pregunta:
What cooling requirements are needed for the Tesla T4?
Respuesta: The Tesla T4 operates optimally within a specific temperature range, necessitating effective cooling systems to prevent overheating during intensive tasks. It's designed to use passive cooling, but in high-performance environments where workloads are continually high, active cooling methods should be considered. Companies can implement server rack cooling solutions that circulate air effectively to ensure the T4 maintains peak performance and reliability during extended operational periods. -
Pregunta:
What is the power consumption of the Tesla T4?
Respuesta: The HPE NVIDIA Tesla T4 has a maximum power consumption of approximately 70 watts, which is relatively low compared to other GPUs that offer similar levels of performance. This efficiency makes it ideal for energy-conscious organizations looking to minimize operational costs without sacrificing performance. For instance, deploying multiple Tesla T4 cards in a data center can lead to significant power savings while still achieving high throughput for machine learning and AI workloads. -
Pregunta:
Where can I buy the HPE NVIDIA Tesla T4 Graphic Card - 16 GB GDDR6 in Puerto Rico?
Respuesta: You can buy the HPE NVIDIA Tesla T4 Graphic Card - 16 GB GDDR6 from Ubuy, a reputable online retailer that specializes in electronic hardware and computer components. Ubuy offers a streamlined shopping experience, ensuring you have access to detailed product information and customer reviews, which can assist in making an informed purchase decision. Additionally, Ubuy provides product availability and support services tailored to your location in Puerto Rico.
HP Graphics Cards R0W29C Editorial Review
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USD 1041
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