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Intel Movidius Myriad X VPU vs NVIDIA Tesla [EOL] comparison

Intel and NVIDIA are both solutions in the Enterprise GPU category. Additionally, 100% of NVIDIA users are willing to recommend the solution.
Intel Movidius Myriad X VPU
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NVIDIA Tesla [EOL]
Read 2 NVIDIA Tesla [EOL] reviews
    100% willing to recommend

    Review summaries and opinions

    We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
     

    Categories and Ranking

    Intel Movidius Myriad X VPU
    Average Rating
    0.0
    Number of Reviews
    0
    Ranking in other categories
    Enterprise GPU (3rd)
    NVIDIA Tesla [EOL]
    Average Rating
    8.6
    Number of Reviews
    2
    Ranking in other categories
    No ranking in other categories
     

    Featured Reviews

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    reviewer2309676 - PeerSpot reviewer
    Simplifies our processes and helps us handle complex computations effectively
    The initial setup process for Tesla was straightforward for me since I had prior experience working with the product. Setting it up requires two people. The deployment process involves a two-step approach: hardware deployment and software development. After that, we use Ansible for automatic software installation. This includes getting the operating system in place using Foreman and adding necessary components like NVIDIA CUDA drivers. The deployment time varies based on the number of servers, but for around ten servers, it typically takes about two hours. We deploy them in parallel to streamline the process. Maintaining Tesla involves routine tasks like updating drivers and addressing security issues. We handle this by taking about 10% of our servers offline at a time, using a slow scheduler to ensure a controlled process.
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    Top Industries

    By visitors reading reviews
    Manufacturing Company
    23%
    Educational Organization
    14%
    Comms Service Provider
    9%
    Computer Software Company
    7%
    Computer Software Company
    13%
    Comms Service Provider
    12%
    Manufacturing Company
    10%
    Educational Organization
    8%
     

    Company Size

    By reviewers
    Large Enterprise
    Midsize Enterprise
    Small Business
    No data available
    No data available
     

    Questions from the Community

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    What do you like most about NVIDIA Tesla?
    The most valuable aspects of Tesla are its CUDA software framework, which boosts our computing capabilities, and NVIDIA's NGC cloud support.
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    What is your experience regarding pricing and costs for NVIDIA Tesla?
    The majority of our Tesla GPUs operate on bare metal servers without additional licensing costs.
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    What needs improvement with NVIDIA Tesla?
    While the current Tesla setup meets our needs well, it would be beneficial to see broader application support and compatibility with different workloads. The existing configuration handles our curr...
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    Comparisons

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    Hailo-8 vs Intel Movidius Myriad X VPU
    Compared 83% of the time
    NVIDIA RTX Series vs Intel Movidius Myriad X VPU Logo
    NVIDIA RTX Series vs Intel Movidius Myriad X VPU
    Compared 17% of the time
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    AMD Instinct vs NVIDIA Tesla [EOL] Logo
    AMD Instinct vs NVIDIA Tesla [EOL]
    Compared 32% of the time
    Hailo-8 vs NVIDIA Tesla [EOL] Logo
    Hailo-8 vs NVIDIA Tesla [EOL]
    Compared 32% of the time
    NVIDIA RTX Series vs NVIDIA Tesla [EOL] Logo
    NVIDIA RTX Series vs NVIDIA Tesla [EOL]
    Compared 26% of the time
    More NVIDIA Tesla [EOL] Competitors
     

    Also Known As

    Movidius Myriad X, Myriad X, Myriad X VPU
    No data available
     

    Overview

    The Intel® Movidius™ Myriad™ X VPU is the third generation and most advanced VPU from Intel. It is the first of its class to feature the Neural Compute Engine – a dedicated hardware accelerator for deep neural network inferences. The Neural Compute Engine in conjunction with the 16 powerful SHAVE cores and an ultra-high throughput intelligent memory fabric makes Intel Movidius Myriad X the industry leader for on-device deep neural networks and computer vision applications. Intel’s Myriad™ X VPU has received additional upgrades to imaging and vision engines including additional programmable SHAVE cores, upgraded and expanded vision accelerators, and a new native 4K ISP pipeline with support for up to 8 HD sensors connecting directly to the VPU.

    The Intel Movidius Myriad X VPU is programmable via the Myriad Development Kit (MDK) which includes all necessary development tools, frameworks and APIs to implement custom vision, imaging and deep neural network workloads on the chip.

    Key Benefits
    -Dedicated Neural Compute Engine
    -16 High Performance SHAVE Cores
    -Enhanced ISP with 4K support
    -New Vision Accelerators including Stereo Depth

    Intel

    NVIDIA Tesla [EOL] is designed for scientific computing tasks, data analytics, and high-performance computing. Its architecture enables efficient processing for demanding data-intensive operations, making it a vital component for advanced computational applications.

    NVIDIA Tesla [EOL] offers a powerful platform for professionals seeking advanced computational capabilities. It excels in areas like machine learning, offering exceptional parallel processing which dramatically accelerates complex tasks. This makes it indispensable for environments requiring rapid data throughput and high-speed computations, ensuring optimal performance in research, finance, and engineering sectors.

    What are the most valuable features of NVIDIA Tesla [EOL]?
    • High-Performance Capabilities: Enables faster processing for complex algorithms.
    • Scalability: Easily integrates into existing systems for enhanced computational power.
    • Energy Efficiency: Delivers powerful performance with optimized power consumption.
    What benefits should users consider when reviewing NVIDIA Tesla [EOL]?
    • Cost Efficiency: Reduces computational time, saving resources and costs.
    • Enhanced Productivity: Improves processing speeds, increasing overall workload efficiency.
    • Robust Performance: Consistent results in high-demand scenarios, supporting critical applications.

    NVIDIA Tesla [EOL] is widely used in industries such as finance and research, where high-speed data processing is critical. In finance, it facilitates rapid data analysis and modeling. In scientific research, it supports computational simulations and data-driven experiments, optimizing workflow and output accuracy.

    NVIDIA
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