Compare GAUDI vs. NVIDIA DGX-1

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GAUDI Logo
9 views|6 comparisons
NVIDIA DGX-1 Logo
875 views|514 comparisons
Ranking
12th
out of 12 in Enterprise GPU
Views
9
Comparisons
6
Reviews
0
Average Words per Review
0
Rating
N/A
7th
out of 12 in Enterprise GPU
Views
875
Comparisons
514
Reviews
0
Average Words per Review
0
Rating
N/A
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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.

Building a platform for deep learning goes well beyond selecting a server and GPUs. A commitment to implementing AI in your business involves carefully selecting and integrating complex software with hardware. NVIDIA DGX-1 fast-tracks your initiative with a solution that works right out of the box, so you can gain insights in hours instead of weeks or months.

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Learn more about GAUDI
Learn more about NVIDIA DGX-1
Sample Customers
Information Not Available
Open AI, UC Berkley, New York University, Massachusetts General Hospital
Top Industries
No Data Available
VISITORS READING REVIEWS
Comms Service Provider26%
Computer Software Company22%
Educational Organization16%
Manufacturing Company9%

GAUDI is ranked 12th in Enterprise GPU while NVIDIA DGX-1 is ranked 7th in Enterprise GPU. GAUDI is rated 0.0, while NVIDIA DGX-1 is rated 0.0. On the other hand, GAUDI is most compared with , whereas NVIDIA DGX-1 is most compared with NVIDIA TITAN V, Intel Movidius Myriad X VPU, NVIDIA Tesla, Radeon Instinct and Hailo-8.

See our list of best Enterprise GPU vendors.

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.