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Intel Movidius Myriad 2 VPU [EOL] 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.
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 2 VPU...
    Average Rating
    0.0
    Number of Reviews
    0
    Ranking in other categories
    No ranking in other categories
    NVIDIA Tesla [EOL]
    Average Rating
    8.6
    Number of Reviews
    2
    Ranking in other categories
    No ranking in other categories
     

    Featured Reviews

    Use Intel Movidius Myriad 2 VPU [EOL]?
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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
    19%
    Educational Organization
    11%
    Computer Software Company
    8%
    University
    8%
    Computer Software Company
    13%
    Comms Service Provider
    11%
    Manufacturing Company
    9%
    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.
    See all answers
    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...
    See all answers
     

    Comparisons

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    Hailo-8 vs Intel Movidius Myriad 2 VPU [EOL]
    Compared 65% of the time
    Intel Movidius Myriad X VPU vs Intel Movidius Myriad 2 VPU [EOL] Logo
    Intel Movidius Myriad X VPU vs Intel Movidius Myriad 2 VPU [EOL]
    Compared 22% of the time
    NVIDIA RTX Series vs Intel Movidius Myriad 2 VPU [EOL] Logo
    NVIDIA RTX Series vs Intel Movidius Myriad 2 VPU [EOL]
    Compared 13% of the time
    More Intel Movidius Myriad 2 VPU [EOL] Competitors
    Hailo-8 vs NVIDIA Tesla [EOL] Logo
    Hailo-8 vs NVIDIA Tesla [EOL]
    Compared 33% of the time
    AMD Instinct vs NVIDIA Tesla [EOL] Logo
    AMD Instinct 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
    Intel Movidius Myriad X VPU vs NVIDIA Tesla [EOL] Logo
    Intel Movidius Myriad X VPU vs NVIDIA Tesla [EOL]
    Compared 9% of the time
    More NVIDIA Tesla [EOL] Competitors
     

    Also Known As

    Movidius Myriad 2, Myriad 2, Myriad 2 VPU
    No data available
     

    Overview

    Intel's Movidius™ Myriad™ 2 VPU is an industry-defining always-on vision processor, and second generation VPU from Movidius™, an Intel® company. Myriad 2 can be found in millions of devices on the market today and continues to be utilized for some of the most ambitious AI, vision and imaging applications where both performance and low power consumption are

    Standing at the intersection of low-power and high performance, the Myriad 2 family of processors are transforming the capabilities of devices. Myriad 2 gives device makers industry-proven performance on AI, imaging and computer vision tasks, all at an unbeatable performance/price proposition.

    KEY BENEFITS
    -12 Programmable SHAVE Cores
    -Ultra-Low Power Architecture
    -High Performance VPU
    -Small footprint for embedded applications

    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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