Nvidia 900-2g610-0000-000 Tesla P40 24gb Gddr5 Pcie 3.0 X16 Passive Cooling
The NVIDIA Tesla P40 is purpose-built to deliver maximum throughput for deep learning deployment.
Nvidia 900-2g610-0000-000 Tesla P40 24gb Gddr5 Pcie 3.0 X16 Passive Cooling
Número do item: 95402264

Nvidia 900-2g610-0000-000 Tesla P40 24gb Gddr5 Pcie 3.0 X16 Passive Cooling

Número do item: 95402264

R$ 7548

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The NVIDIA Tesla P40 is purpose-built to deliver maximum throughput for deep learning deployment.
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Destaques do Produto

Massive Memory
Equipped with 24GB GDDR5, the Tesla P40 excels in memory-intensive applications, delivering superior performance for deep learning and high-performance computing tasks.
Efficient Cooling
The passive cooling design ensures reliable operation without the noise of active cooling systems, making it ideal for environments requiring silent operation.
High Bandwidth
Supports PCIe 3.0 x16, providing fast data transfer rates and significantly enhancing overall system performance for professional workloads and AI inference.

Detalhes do produto

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Para quem é indicado?

Suitable For
  • Data Scientists

    Ideal for running complex AI models and large datasets efficiently due to its high memory and computing power.

  • Machine Learning Developers

    Supports extensive training of deep learning algorithms with 24GB GDDR5 memory for improved performance and faster results.

  • Rendering Professionals

    Users in video rendering or graphics-intensive tasks will benefit from the powerful processing capabilities of the Tesla P40.

Not Suitable For
  • Casual Gamers

    Not suitable for casual gaming as it lacks gaming-optimized features and is designed for professional use.

DESCRIÇÃO DO PRODUTO

Nvidia 900-2g610-0000-000 Tesla P40 24gb Gddr5 Pcie 3.0 X16 Passive Cooling

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Perguntas e respostas do cliente

  • Pergunta: What is the purpose of NVIDIA Tesla P40?

    Resposta: It is built to deliver maximum throughput for deep learning deployment.
  • Pergunta: What advantages does NVIDIA Pascal architecture provide?

    Resposta: It accelerates deep learning applications at scale, providing amazing user experience.
  • Pergunta: How many CPU servers are equivalent to a server with 8 Tesla P40s?

    Resposta: Over 140 CPU servers.

nVidia Editorial Review

The Nvidia Tesla P40 GPU is a product designed for high-performance computing, but customer feedback indicates a mixture of satisfaction and challenges that potential buyers should be aware of. Users have highlighted the need for specific setups to get the most out of this graphics card. Notably, it requires a distinct CPU power cable—different from the standard EVGA cables—which may necessitate additional purchases if users don't already have a compatible power supply unit. Installation can be complex, especially for those using Linux, where enabling specific BIOS settings such as above 4G decoding is essential. Users have reported success in getting this GPU to function effectively for tasks such as machine learning with PyTorch, achieving high utilization rates and stable temperatures under load. However, these high-performance features come with the requirement for appropriate cooling solutions; a blower cooler is recommended to maintain optimal temperatures. Despite some positive experiences, there are significant concerns regarding product quality control. Several users received damaged cards that either did not function or caused issues with their systems. One reviewer noted a potentially dangerous incident involving a power cable that burnt out upon connection, underscoring the importance of ensuring compatibility and testing cables prior to use. Moreover, support and return experiences have mostly been rated positively, with customers appreciating stress-free refunds when issues arose. However, the general Consensus is that while the Nvidia Tesla P40 can deliver high performance, buyers need to be prepared for potential technical hurdles and the necessity for additional accessories to ensure a successful setup. ###

Comentários e avaliações dos clientes

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Prós

  • High computational performance suitable for machine learning applications.
  • Stable performance with good temperature management when properly cooled.
  • Generally positive experiences with customer support and refunds. ###

Contras

  • Needs specific power cables and blower cooler, which are not standard.

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