Intel Movidius Myriad 2 VPU [EOL] vs NVIDIA DGX Cloud comparison

Why PeerSpot?

The compared Intel and NVIDIA solutions aren't in the same category. NVIDIA is ranked #3 in AII , and holds a 10.6% mindshare. Additionally, 100% of NVIDIA users are willing to recommend the solution.

Intel Movidius Myriad 2 VPU...

NVIDIA DGX Cloud

Read 1 NVIDIA DGX Cloud review

2,181 Views
1,112 Comparison Views

100% willing to recommend

Intel Movidius Myriad 2 VPU...

NVIDIA DGX Cloud

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

Ranking in other categories

No ranking in other categories

NVIDIA DGX Cloud

Average Rating

9.0

Number of Reviews

Ranking in other categories

AI Infrastructure (3rd)

Featured Reviews

Use Intel Movidius Myriad 2 VPU [EOL]?

Leave a review

reviewer2309676

Team Lead, High-Performance Computing (HPC) at a manufacturing company with 1,001-5,000 employees

Versatile, well-built, and powerful

The initial setup of the DGX server was quite straightforward. We treated it like any other server during deployment. It went to the data center, where they set it up, placed it in the rack, and enabled it. The deployment process was familiar, using our standard tools like Foreman and Ansible. Since the operating system is supported, we didn't encounter any specific challenges. For deploying the DGX server, we typically need two people for software tasks and sometimes vendor assistance for hardware setup. The process takes about four hours, with NVIDIA firmware updates taking the most time (around two hours), and the rest dedicated to OS and Ansible deployment. Maintaining the DGX server is pretty straightforward. We treat it like any other server, with around 10% downtime, while the rest of the cluster remains up.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Enterprise GPU solutions are best for your needs.

See recommendations

921,523 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

University

11%

Comms Service Provider

10%

Manufacturing Company

10%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Comparisons

NVIDIA RTX Series vs Intel Movidius Myriad 2 VPU [EOL]

Compared 21% of the time

Hailo-8 vs Intel Movidius Myriad 2 VPU [EOL]

Compared 18% of the time

NeuroBlade vs Intel Movidius Myriad 2 VPU [EOL]

Compared 16% of the time

Intel Movidius Myriad X VPU vs Intel Movidius Myriad 2 VPU [EOL]

Compared 15% of the time

More Intel Movidius Myriad 2 VPU [EOL] Competitors

Amazon Bedrock vs NVIDIA DGX Cloud

Compared 14% of the time

AMD Instinct vs NVIDIA DGX Cloud

Compared 10% of the time

NVIDIA RTX Series vs NVIDIA DGX Cloud

Compared 9% of the time

Gemini Enterprise Agent Platform vs NVIDIA DGX Cloud

Compared 8% of the time

Dell Validated Design vs NVIDIA DGX Cloud

Compared 7% of the time

More NVIDIA DGX Cloud Competitors

Also Known As

Movidius Myriad 2, Myriad 2, Myriad 2 VPU

NVIDIA DGX-1, DGX Cloud, NVIDIA DGX Platform

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 DGX Cloud is a cutting-edge cloud-based AI supercomputing platform designed to meet advanced computing needs. It provides unparalleled AI performance and scalability, enabling organizations to accelerate their AI projects efficiently.

NVIDIA DGX Cloud offers an infrastructure tailored for AI and machine learning workloads. This service allows users to access powerful compute resources without the need to invest in physical hardware. With its streamlined deployment, businesses can innovate faster by leveraging NVIDIA's robust ecosystem of tools and frameworks. Designed with flexibility in mind, it integrates seamlessly with existing workflows to optimize productivity and drive forward AI development.

What are the most important features of NVIDIA DGX Cloud?

Scalability: Easily expand compute resources as demands grow.
Performance: High-speed GPUs ensure optimal computational power.
Compatibility: Supports a wide array of AI frameworks and tools.
Accessibility: Available on-demand, reducing time to value.
Security: Robust measures protect data and workflows.

What benefits or ROI should users look for in reviews?

Cost Efficiency: Pay-as-you-go model ensures budget-friendly scalability.
Innovation Acceleration: Quick access to resources boosts project timelines.
Resource Optimization: Reduce overhead associated with maintaining physical infrastructure.
Enhanced Productivity: Integrates with existing systems for seamless operation.

NVIDIA DGX Cloud is widely applicable across industries. It's instrumental in healthcare for predictive analytics and diagnostics improvement. In finance, it facilitates real-time data processing and risk assessment. Automotive sectors leverage its capabilities for autonomous vehicle simulations and data analytics, which are crucial for advancements.

NVIDIA

Sample Customers

Information Not Available

Open AI, UC Berkley, New York University, Massachusetts General Hospital

We monitor all Enterprise GPU reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.