GAUDI vs Intel Nervana Neural Network Processor comparison

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Ranking
8th
out of 13 in Enterprise GPU
Views
266
Comparisons
238
Reviews
0
Average Words per Review
0
Rating
N/A
11th
out of 13 in Enterprise GPU
Views
214
Comparisons
142
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
Intel Neural Network Processors, Intel NNP
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Overview

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.

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.

Deep learning is taking the next leap forward. Increasingly sophisticated and complex data, models, and techniques will allow AI to move beyond identifying information to understanding context – enabling a level of “common sense” for reasoning and decision-making.

Top Industries
VISITORS READING REVIEWS
Manufacturing Company32%
Educational Organization9%
Real Estate/Law Firm8%
Financial Services Firm8%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise16%
Large Enterprise69%
No Data Available

GAUDI is ranked 8th in Enterprise GPU while Intel Nervana Neural Network Processor is ranked 11th in Enterprise GPU. GAUDI is rated 0.0, while Intel Nervana Neural Network Processor is rated 0.0. On the other hand, GAUDI is most compared with GOYA, NVIDIA Tesla, NVIDIA TITAN V, Intel Movidius Myriad X VPU and Radeon Instinct, whereas Intel Nervana Neural Network Processor is most compared with Intel Movidius Myriad 2 VPU and Hailo-8.

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