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190625143
Dell NVIDIA Tesla V100 GPU SXM2 32GB NWWWX by DELL
Item #:
190625143
SCR 20432
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What Stands Out
High Performance
The Dell NVIDIA Tesla V100 GPU provides exceptional processing power with 32GB of memory, ideal for deep learning, AI research, and scientific computing, significantly speeding up training and inference times.
Advanced Architecture
Built on the Volta architecture, this GPU enhances machine learning performance via Tensor Cores, enabling companies to tackle complex AI workloads more efficiently compared to traditional GPUs.
Scalable Solutions
The SXM2 form factor ensures easier integration into existing data centers, allowing scalability and flexibility for growing computational needs while optimizing energy efficiency and resource utilization.
Product Details
| Graphics Coprocessor | NVIDIA Tesla v100 |
| Graphics Card Ram | 32 GB |
| Compatible Devices | Server |
| Graphics Card Interface | PCI Express |
| Brand | NVIDIA |
| Video Processor | NVIDIA |
| Model Name | Tesla V100 |
| Graphics Description | NVIDIA Tesla V100 with 32GB HBM2 memory |
| Unit Count | 1 Count |
| Manufacturer | DELL |
| Model Number | NWWWX |
| Mfr Part Number | 900-2G503-0110-000 |
| Graphics Ram Size | 32 GB |
| Graphics Processor Manufacturer | NVIDIA |
| Item Weight | 2.8 lbs (1.27 kg) |
Who Should Buy?
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Data Scientists
Ideal for those running complex machine learning models and large data computations efficiently with GPU acceleration.
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AI Researchers
Perfect for training neural networks with extensive datasets, enhancing performance and reducing training time significantly.
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High-Performance Computing
Suitable for organizations needing immense computing power for simulations, analyses, and scientific research workloads.
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Casual Gamers
Not suitable for gamers as it lacks support for standard gaming applications and requires specialized infrastructure.
Product Description
Dell NVIDIA Tesla V100 GPU SXM2 32GB NWWWX by DELL
Have any Query? Chat with us
Customer Questions & Answers
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Question:
What are the primary features of the Dell NVIDIA Tesla V100 GPU SXM2 32GB NWWWX?
Answer: The Dell NVIDIA Tesla V100 GPU SXM2 is designed for high-performance computing and machine learning applications. Its 32GB memory expands capabilities for complex data processing tasks. The architecture is optimized for deep learning with Tensor Cores, allowing for mixed-precision calculations, which enhance performance dramatically. This GPU is ideal for training advanced AI models and running simulations that require significant computational power. -
Question:
What kind of workloads is the Tesla V100 suitable for?
Answer: The Tesla V100 GPU excels in a variety of demanding workloads, including deep learning, high-performance computing (HPC), data analytics, and scientific simulations. It is particularly useful for training neural networks and performing complex computations efficiently, thanks to its robust architecture. Organizations involved in research and AI development will find the Tesla V100 to be an excellent investment for accelerating their projects. -
Question:
How does the Tesla V100 compare to previous models?
Answer: Compared to its predecessors, the Tesla V100 GPU offers significantly improved performance and efficiency. With the introduction of Tensor Cores, it provides up to 12 times higher performance for deep learning tasks. The larger memory bandwidth and capacity allow for better handling of larger datasets, making it a substantial upgrade for users needing advanced computational power. This leads to faster results in AI research and development initiatives. -
Question:
Can the Tesla V100 be used in cloud computing environments?
Answer: Yes, the Tesla V100 GPU is well-suited for cloud computing environments. Major cloud service providers integrate Tesla V100 into their offerings, enabling users to access powerful computational resources without needing physical hardware. This flexibility allows businesses and researchers to scale their workloads dynamically and efficiently leverage AI and deep learning capabilities as needed. -
Question:
What cooling solutions are compatible with the Tesla V100?
Answer: The Tesla V100 GPU requires effective cooling solutions to maintain optimal performance, particularly in intensive workloads. It is designed to work well with high-efficiency cooling systems, such as liquid cooling or advanced airflow management in server racks. These solutions help prevent overheating during prolonged usage, ensuring that the GPU operates at peak efficiency and reliability. -
Question:
Does the Tesla V100 support virtualization?
Answer: Yes, the Tesla V100 supports virtualization, allowing multiple users or applications to share the GPU resources without significant performance loss. This capability is essential for cloud-based environments and data centers, where efficient resource management is critical. It enables organizations to optimize ROI by maximizing the utilization of their GPU resources across various workloads. -
Question:
What is the architecture of the Tesla V100?
Answer: The Tesla V100 is built on the NVIDIA Volta architecture, which significantly enhances both performance and energy efficiency compared to earlier architectures. It utilizes 12nm technology, which contributes to lower power consumption while delivering high computational throughput. Additionally, its sophisticated memory architecture supports HBM2 memory, resulting in increased bandwidth that is vital for data-heavy applications. -
Question:
Is the Tesla V100 suitable for gaming?
Answer: While the Tesla V100 can technically render games, it is not optimized for gaming purposes. Its primary focus is on high-performance computing and AI workloads rather than real-time gaming scenarios. For gaming enthusiasts, NVIDIA's consumer-grade GPUs would deliver a better experience given their optimization for graphics and performance specific to games. -
Question:
What software is compatible with Tesla V100?
Answer: The Tesla V100 is compatible with a wide array of software designed for machine learning and high-performance computing, including popular frameworks like TensorFlow, PyTorch, and Caffe. Additionally, it works seamlessly with NVIDIA's software stack, including CUDA and cuDNN, which are essential for developing AI applications. This compatibility ensures that users can leverage the full capabilities of the V100 in their projects. -
Question:
Where can I buy Dell NVIDIA Tesla V100 GPU SXM2 32GB NWWWX by DELL in Seychelles?
Answer: You can purchase the Dell NVIDIA Tesla V100 GPU SXM2 32GB NWWWX by DELL on Ubuy. Ubuy offers a wide selection of electronics and computing products, ensuring you receive reliable service and fast access to the latest technology. Their platform is user-friendly, making it easy to find and order the specific GPU you need to enhance your computing capabilities.
NVIDIA Graphics Cards NWWWX Editorial Review
Dell NVIDIA Tesla V100 GPU SXM2 32GB NWWWX by DELL is an exceptional choice for professionals requiring robust computational power. With its NVIDIA Tesla V100 graphics coprocessor and 32 GB of high-speed RAM, it is engineered for machine learning, deep learning, and large-scale data analytics. Users have praised its performance capabilities, making it a favorite in high-performance computing environments. The GPU utilizes a PCI Express interface, ensuring compatibility with various systems, while its lightweight design at 2.8 lbs allows for efficient integration into server setups. This blend of advanced technology and practical design makes it a formidable component for demanding applications.
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Pros
- 32GB RAM for handling large computations
- Lightweight at 2.8 lbs for easy installation
- PCI Express interface ensures broad compatibility
- Designed for high-performance computing
- Ideal for machine learning tasks
Cons
- May require additional cooling in compact systems
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SCR 20432
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