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Best Enterprise GPU Solutions

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What is Enterprise GPU?

Enterprise GPU solutions provide high-performance computing capabilities essential for complex tasks like AI development, data analysis, and advanced visualization, catering to industries demanding robust processing power.

The top 5 Enterprise GPU solutions are NVIDIA Tesla, Intel Movidius Myriad X VPU, Hailo-8, Intel Movidius Myriad 2 VPU and NVIDIA RTX Series, as ranked by PeerSpot users in November 2024. NVIDIA Tesla received the highest rating of 8.5 among the leaders. Hailo-8 is the most popular solution in terms of searches by peers and holds the largest mind share of 24.0%.

Enterprise GPU solutions are designed to handle intensive workloads with ease, making them integral for applications requiring substantial computational power. These solutions are widely adopted in fields such as machine learning, scientific computation, and virtual reality, due to their ability to process large volumes of data efficiently. They offer scalability, flexibility, and enhanced performance, which are crucial for businesses aiming to stay ahead in the fast-paced technological landscape.

What are the critical features?
  • High Throughput: Enables rapid data processing and complex simulations.
  • Scalability: Facilitates handling increasing workloads without performance degradation.
  • Energy Efficiency: Reduces operational costs through lower power consumption.
  • Advanced Memory Management: Ensures smooth handling of large datasets.
  • Integration Capabilities: Seamless integration with existing IT infrastructure.
What are the key benefits and ROI?
  • Increased Productivity: Speeds up computational tasks, leading to faster project completion.
  • Cost Savings: Lower power consumption and efficient resource utilization.
  • Enhanced Performance: Improved processing power for demanding applications.
  • Flexibility: Adapts to various workload requirements, ensuring continuous operation.
  • Long-Term Investment: Provides robust and scalable solutions that grow with enterprise needs.

In healthcare, Enterprise GPU solutions optimize medical imaging, enabling faster diagnostics and treatment planning. Financial institutions use these solutions to enhance risk modeling and real-time trading analytics. In the automotive industry, they facilitate advanced simulations for autonomous vehicle development, ensuring safer and more efficient designs.

Adopting Enterprise GPU technology is beneficial for organizations seeking to enhance their computational capabilities, improve resource management, and stay competitive in an increasingly data-driven world.

Enterprise GPU solutions mindshare

As of December 2024, in the Enterprise GPU category, the mindshare of NVIDIA RTX Series is 13.4%, up from 9.7% compared to the previous year. The mindshare of Intel Movidius Myriad X VPU is 15.8%, down from 20.3% compared to the previous year. The mindshare of Hailo-8 is 24.0%, up from 11.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Enterprise GPU

Top Enterprise GPU products

Rankings through
PeerSpot #1 Ranked
#1 Ranked
NVIDIA Tesla
NVIDIA Tesla accelerates AI and machine learning tasks, assisting in deep learning model training, data analysis, and scientific computations. It enhances data center performance and simplifies complex calculations. Research institutions and tech companies utilize its high processing power for simulations and large datasets, praising its efficiency, scalability, and superior performance-to-cost ratio.
8.5
Rating
2
Reviews
709
Words/ Review
1,415
Total Views
725
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PeerSpot Leader
Leader
Intel Movidius Myriad X VPU
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.
1,451
Total Views
876
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Hailo-8
The Hailo-8 processor includes memory and runs at up to 26 tera operations per second (TOPS), and when running the ResNet-50 benchmark consumes 1.67 watts and achieve 2.8TOPS/W. Hailo offers a software development kit (SDK) that was co-developed with the hardware.
2,016
Total Views
802
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Intel Movidius Myriad 2 VPU
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
897
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567
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NVIDIA RTX Series
Users frequently utilize NVIDIA RTX Series for high-performance gaming, graphic design, and demanding applications like 3D rendering, video editing, and deep learning. Praised for real-time ray tracing, AI enhancements, DLSS technology, and robust cooling. Complaints include high power consumption, occasional software compatibility issues, and large card sizes for smaller builds.
731
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543
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Intel Xeon Phi
The Intel Xeon Phi processor is a bootable host processor that delivers massive parallelism and vectorization to support the most demanding high-performance computing applications. The integrated and power-efficient architecture delivers significantly more compute per unit of energy consumed versus comparable platforms to give you an improved total cost of ownership.1 The integration of memory and fabric topples the memory wall and reduces cost to help you solve your biggest challenges faster.
547
Total Views
326
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Radeon Instinct
Radeon Instinct family of server accelerator products brings in a new era of heterogeneous compute capabilities for Machine Intelligence and HPC systems by introducing an open approach to compute from the metal forward. Higher levels of datacenter performance and efficiencies are enabled through AMD’s introduction of world-class GPU technologies like the next generation “Vega” architecture and the Radeon Instinct’s open ecosystem approach to datacenter design through our ROCm software platform, support of various system architectures, and industry standard interconnect technologies.
529
Total Views
331
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GAUDI
Gaudi is a processor that handles machine learning training workloads, and has 32GB of memory built-in, a memory bandwidth of 1TB per second, and consumes up to 200W. The only AI processor with Integrated RDMA over Converged Ethernet to provide scalability and lower total cost of ownership. Gaudi is designed for versatile and efficient system scale out and scale up with integrated on-chip RoCE RDMA, enabling high-performance inter connectivity.
288
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254
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NeuroBlade
NeuroBlade’s unique chip solution paired with a complete end-to-end SW stack, enables businesses to take the next leap forward by increasing the efficiency and affordability of their devices from edge to datacenters.
216
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114
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Intel Nervana Neural Network Processor
The Intel Nervana Neural Network Processor (NNP) is a purpose built architecture for deep learning. This new architecture provides the needed flexibility to support all deep learning primitives while making core hardware components as efficient as possible.
206
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122
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GOYA
Purpose-Built for AI Inference, 15,453 images-per-second throughput on ResNet-50.
157
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133
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CoreWeave GPU Compute
Highly configurable and highly available. CoreWeave is purpose-built for large-scale GPU-accelerated workloads, served on-demand.GPUs are advancing AI at unimaginable scale, changing how films and episodic television are created, accelerating breakthroughs in synthetic biology, and powering the Metaverse.
62
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24
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RunPod
Deploy any GPU workload seamlessly, so you can focus less on infrastructure and more on running ML models. Run code in the cloud that's as seamless as running it locally. No need to push your container image every time you add a print statement. Just hit the endpoint given to you by the CLI to test and deploy when you're confident everything works.
12
Total Views
10
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EnCharge AI
Our core technology leverages the existing semiconductor supply chain and integrates into diverse form factors, enabling unprecedented AI capabilities in partner and customer solutions. From chiplets, to ASICs, to standard form-factor PCIe cards, EnCharge AI provides hardware and software for seamless orchestration between on-device and Cloud Deployments.
7
Total Views
5
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NVIDIA HGX Platform
NVIDIA HGX Platform enhances AI and machine learning workloads with exceptional GPU performance and scalability. It accelerates data processing and supports complex models in natural language processing, computer vision, and deep learning. Users praise its robust infrastructure, efficient data processing, and flexibility in deployment for handling large-scale workloads and high-performance computing applications.
3
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2
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Enterprise GPU Q&As

Read answers to top Enterprise GPU questions. 824,053 professionals have gotten help from our community of experts.
Nov 5, 2023
Why is Enterprise GPU important for companies?
May 3, 2018
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Best Enterprise GPU Solutions
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