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NVIDIA Brings Ampere A100 GPUs to Google Cloud

Recently, many new models have appeared in the processor market. Among the technologies used for these models, Ampere technology is the latest…

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NVIDIA Brings Ampere A100 GPUs to Google Cloud
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TL;DR (AI QUICK SUMMARY)

Recently, many new models have appeared in the processor market. Among the technologies used for these models, Ampere technology is the latest…

Recently, many new models have appeared in the processor market. Among the technologies used for these models: ampere technology was the most prominent name of the last month. It hasn't been too long since this graphics processor was introduced.

According to the statement from the company, this new graphics processor on Google Cloud It will now be possible to use it. New Ampere A100 This will make things easier for those who use these services, especially to perform complex transactions.

Ampere A100 will make researchers smile

The A100 family stands out as hardware designed to handle large artificial intelligence loads and data analysis. According to the statement from NVIDIA, users will have a great experience in these new systems. with increased performance will encounter. In terms of processing capacity, new processors outperform old ones. to 20 will fold. 

The system has single-precision processing performance 19.5 TFLOPSIt can go up to . Requiring artificial intelligence and high performance TensorFloat 32 In computer applications, it reaches 156 TFLOPs.

NVIDIA Ampere series is shown as the largest 7nm chip in the world. There are 54 billion transistors on the chip. this too Ampere's The multi-threaded GPU is the basis for many of its innovative features, such as automatic mixed precision and faster memory access.

NVIDIA hopeful about Ampere

Explaining Ampere technology, the company stated that the new system “at every scale will provide unprecedented acceleration" he stated. The accelerator has 6192 CUDA cores and 40GB of HBM2 memory. The new cloud service, currently in alpha phase, will come with five different configurations. These configurations range from 85 GB of RAM. 1360 GB RAM It will go up.

Google also stated that companies can switch to Ampere A100 GPUs without difficulty. In previous statements, companies can easily To use A2 VM Stating that they aim to start the process, Google said that A100 support will soon come to the Google Kubernetes Engine, Cloud Artificial Intelligence platform and Google Cloud services.

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