NVIDIA Tesla K20X
ALL 8083
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NVIDIA Tesla K20X - the fastest, most efficient GPU computing processor
Consegna
veloce
Reso
gratuito*
Imballaggio sicuro
Prodotti originali al 100%
Conformità PCI DSS
Certificazione ISO 27001
Cosa salta all'occhio
Dettagli del prodotto
| Graphics Coprocessor | Nvidia Tesla |
| Graphics Card Ram | 6 GB |
| Video Output Interface | DisplayPort |
| Graphics Ram Type | GDDR5 |
| Compatible Devices | Desktop |
| Graphics Card Interface | PCI Express |
| Display Resolution Maximum | 3840x2160 |
| Brand | NVIDIA |
| Video Processor | NVIDIA |
| Antenna Location | Professional |
| Model Name | Tesla K20X |
| Graphics Description | NVIDIA Tesla K20X with 6GB GDDR5 RAM |
| Manufacturer | IBM |
| UPC | 640024000688 |
| Model Number | K20X |
| Mfr Part Number | part_B00CX35KU2 |
| Graphics Ram Size | 6 GB |
| Graphics Processor Manufacturer | NVIDIA |
| Item Weight | 5.55 lbs (2.52 kg) |
A chi è consigliato?
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Data Scientists
Ideal for data scientists needing robust computational power for machine learning and deep learning tasks with large datasets.
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Research Institutions
Perfect for academic and industrial research institutions requiring high-performance computing for complex simulations and modeling.
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Cloud Computing Services
Great for cloud service providers focusing on offering GPU-accelerated computing resources to their enterprise customers.
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Casual Gamers
Not suitable for casual gamers who require standard graphics performance without advanced computational capabilities.
DESCRIZIONE DEL PRODOTTO
NVIDIA Tesla K20X
About This Item
Introducing the NVIDIA Tesla K20X, designed for high-performance computing and data center GPU applications. With its powerful CUDA cores and advanced technologies, this GPU computing processor is perfect for AI research, deep learning acceleration, scientific computing, and more. Featuring NVIDIA CUDA technology and GigaThread technology, the Tesla K20X provides unmatched parallel computing capabilities, allowing you to process massive amounts of data quickly and efficiently. The NVIDIA Parallel DataCache optimizes memory access and reduces latency, further enhancing the GPU's performance. Equipped with 6GB of GDDR5 SDRAM and a 384-bit bus width, the Tesla K20X delivers exceptional memory bandwidth of up to 250 GBps, ensuring smooth and seamless data processing.
Its compatibility with popular operating systems like Red Hat Enterprise Linux and Microsoft Windows Server 2008 makes it incredibly versatile for various applications. Designed with power efficiency in mind, the Tesla K20X consumes only 225 watts of power during operation, making it energy-efficient and cost-effective. It meets WEEE standards, ensuring its environmental sustainability. Compatible with various HP ProLiant servers, including the SL250s Gen8 and SL270s Gen8 series, the Tesla K20X seamlessly integrates into your existing infrastructure, boosting your system's performance and capabilities. Whether you're working on AI training, machine learning algorithms, data analytics, or high-speed data processing, the NVIDIA Tesla K20X is the perfect solution for your needs. Unlock the full potential of GPU computing technology and accelerate your applications with this powerful data center GPU.
Upgrade your system with the Tesla K20X and experience the difference in performance and efficiency.
Domande e risposte dei clienti
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Domanda:
What is the NVIDIA Tesla K20X used for?
Risposta: The NVIDIA Tesla K20X is designed for high-performance computing (HPC) applications, deep learning, and simulation tasks. Its exceptional parallel processing power handles large data sets, making it ideal for scientific research and complex calculations. Organizations in fields like genomics, financial modeling, and climate simulations extensively use it. The card features advanced CUDA architecture, enabling developers to leverage GPU acceleration for faster execution of their applications. -
Domanda:
What are the key specifications of NVIDIA Tesla K20X?
Risposta: The NVIDIA Tesla K20X boasts impressive specifications, including 2688 CUDA cores, 5GB of GDDR5 memory, and a memory bandwidth of 250 GB/s. It operates on a low power consumption of just 235 watts, balancing performance with energy efficiency. These features make it particularly suited for data-intensive tasks, allowing for efficient parallel processing in workloads found in research institutions and large enterprises. -
Domanda:
How does the Tesla K20X compare to other GPUs in its category?
Risposta: Compared to its peers, the Tesla K20X excels in compute-intensive scenarios due to its high core count and memory bandwidth. While gaming GPUs focus on graphics rendering, the K20X is optimized for scientific and enterprise applications, providing superior result precision and computation capability. Institutions that require substantial computational resources often choose the K20X for its ability to handle complex algorithms effectively and efficiently. -
Domanda:
Can the NVIDIA Tesla K20X be used for gaming?
Risposta: While the NVIDIA Tesla K20X can technically render graphics, it is not designed for gaming. Its architecture prioritizes compute performance over gaming capabilities, making it suboptimal for this purpose. If you're a gamer, a consumer-grade GPU founded on gaming benchmarks would be a better choice. The Tesla K20X is specifically tailored for data science, AI, and professional rendering tasks rather than entertainment. -
Domanda:
What software is compatible with the NVIDIA Tesla K20X?
Risposta: The Tesla K20X is compatible with various software frameworks designed for high-performance computing, including CUDA, TensorFlow, and MATLAB. This compatibility allows researchers and developers to leverage the power of the GPU for accelerated computations. Users working in scientific computing, machine learning, or computational fluid dynamics will find it especially beneficial due to the abundant support for these applications. -
Domanda:
What systems can house an NVIDIA Tesla K20X?
Risposta: The NVIDIA Tesla K20X is designed to fit into servers equipped with a PCI Express x16 slot. Typically, it works well in data center environments or workstations used for scientific research. It's essential to ensure that your system has adequate cooling and power supply to support the GPU's performance requirements, especially when engaging in intensive computational tasks. -
Domanda:
Is the NVIDIA Tesla K20X suitable for cloud-based applications?
Risposta: Yes, the NVIDIA Tesla K20X is well-suited for cloud-based applications. Many cloud providers offer configurations that include Tesla GPUs to accelerate workloads in machine learning and data analytics. As organizations look to leverage cloud computing for scalability and performance, the K20X's capabilities enable faster data processing and improved application performance within cloud environments. -
Domanda:
What are the benefits of using NVIDIA Tesla K20X in AI development?
Risposta: Using the NVIDIA Tesla K20X in AI development offers significant advantages, including enhanced training times for neural networks. The substantial parallel processing power helps in managing large data sets efficiently, thus speeding up AI model training and inference processes. Researchers and developers will experience improved performance in deep learning tasks, making the K20X a popular choice in AI-centric industries. -
Domanda:
What cooling solutions work best with the NVIDIA Tesla K20X?
Risposta: Effective cooling solutions are crucial for maintaining the optimal performance of the NVIDIA Tesla K20X, especially under heavy loads. Traditional air cooling systems can suffice, but liquid cooling systems often provide better thermal management. It's recommended to assess your server's cooling capabilities to avoid throttling during intense computational tasks, ensuring the GPU operates at peak performance without overheating. -
Domanda:
Where can I buy NVIDIA Tesla K20X in Albania?
Risposta: You can buy the NVIDIA Tesla K20X from Ubuy in Albania. Ubuy offers a comprehensive selection of tech products, including high-performance GPUs like the Tesla K20X, ensuring that you have access to reliable options for your computing needs.
NVIDIA Graphics Cards K20X Editorial Review
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Vantaggi
- High performance for computing tasks
- Excellent for deep learning
- Energy-efficient design
- Reliable and durable
- Strong customer support
Contro
- May require advanced setup knowledge
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Qtà:
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Caratteristiche e benefici
- Fastest and most efficient GPU computing processor
- Features Nvidia CUDA and GigaThread technology
- 6 GB GDDR5 SDRAM memory
- 384-bit bus width with 250 GBps bandwidth
- Compatible with various operating systems like Red Hat Enterprise Linux and Windows Server
- Designed for HP ProLiant servers
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