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Assertions identifying with our future exercises or other future occasions

 Safe Harbor Statement: Statements in this news delivery might be "forward-looking proclamations". Forward-looking explanations incorporate, however are not restricted to, proclamations that express our aims, convictions, assumptions, methodologies, expectations or some other assertions identifying with our future exercises or other future occasions or conditions. These assertions depend on current assumptions, evaluations and projections about our business based, to a limited extent, on suppositions made by the executives.  These assertions are not certifications of future execution and include dangers, vulnerabilities and suspicions that are hard to anticipate. Consequently, real results and results may, and are probably going to, vary substantially based on what is communicated or guage in forward-looking explanations because of various components. Any forward-looking assertions talk just as of the date of this news delivery and iQSTEL Inc. embraces no commitment to refres
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Google Teams With NVIDIA on New Cloud Computing Offerings

The Accelerator-Optimized VM (A2) family, available on Google Compute Engine, is designed specifically to handle some of the most demanding applications out there, including artificial intelligence (AI) workloads and high performance computing (HPC). This makes Google the first cloud service provider to offer the new NVIDIA GPUs.

 For the most demanding workloads, Google Cloud will offer users up to 16 GPUs on a single VM (or virtual machine). The cloud provider will also offer the A2 VMs in smaller configurations to match the individual user's computing needs. The system will be available via a private alpha program to start, before opening up to the general public later this year. 

 In a blog, NVIDIA said the A100 can also power a broad range of compute-intensive applications in cloud data centers, including "data analytics, scientific computing, genomics, edge video analytics, information technology vs computer science, and more."

 Based on NVIDIA's new Ampere architecture, the A100 represents the "greatest generational leap" in performance in the company's history, boosting both machine-learning training and inference computing performance by 20 times compared with its predecessors. Previous versions of the technology required separate processors for training and inference. The A100 also offers a 10-fold increase in speed versus the previous generation technology.
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