Google Cloud now accepts cryptocurrencies as a form of payment • The Register

Google Cloud announced today that it will accept selected cryptocurrencies as payment for its online services.

According to the Internet giant, this method will initially be offered to a few selected customers in the Web 3.0 area; This availability is expected to expand over time. The collection of crypto payments is powered by Coinbase Commerce, which accepts the most popular digital coins: Bitcoin, Ethereum, Dogecoin, Shiba Inu, Litecoin and a few others, including stablecoin USDC.

This announcement was part of Google Cloud Next (GCN), a three-day event where the web ad titan is showcasing its latest as-a-service offerings.

“Today we’re announcing a new partnership with Coinbase, which has selected Google Cloud to build advanced exchange and data services,” Google Cloud CEO Thomas Kurian briefly mentioned, alongside a host of other news from GCN. “We will also enable select customers to use Coinbase Commerce to pay for cloud services via select cryptocurrencies.”

We find that cryptocurrencies have generally fallen in price since a peak in November last year. Bitcoin and Ethereum were flat at the time of writing, and Doge is up about a few percent. This volatility could explain the exclusive availability of payment-by-select cryptocoin for now. On the one hand, USDC is linked to the US dollar.

Coinbase also said it will use Google Cloud to power the Internet Goliath’s network infrastructure and analytics, and to host a number of its backend systems. Meanwhile, Google will be diving into Coinbase’s secure custody and reporting tools.

It’s basically a love for Google-Coinbase and an interesting perk for the cloud industry’s third-best. According to CNBC, Coinbase will move some of its software from Amazon Web Services to Google Cloud.

Also for GCN, Mandiant and Google this week shed some more light on why the latter bought the former for $5.4 billion and where it fits in. You can read about that and security-related updates here. Let’s take a look at what else is going on at GCN.

machine learning

Google Cloud has announced OpenXLA, an open source project that can help developers build and run AI models on all types of hardware.

When building machine learning applications, you may be locking into a specific framework or optimizing your code for a specific accelerator, e.g. B. an Nvidia GPU or Google TPU, which makes porting to alternatives difficult.

OpenXLA hopes to prevent this type of lock-in by promising to be an open, universal compiler compatible with various frameworks and hardware backends. Sachin Gupta, Veep of Infrastructure at Google Cloud, said during GCN that the web giant will make OpenXLA available by open-sourcing its XLA compiler and decoupling it from TensorFlow.

“ML development is often hampered by incompatibilities between frameworks and hardware, forcing developers to make technology compromises when building ML solutions,” he explained in a blog post. “[OpenXLA] will address this challenge by allowing ML developers to build their models on top of leading frameworks (TensorFlow, PyTorch, JAX) and run them with high performance via hardware backends (GPU, CPU and ML accelerators).”

The project is supported by AMD, Arm, AWS, Intel, Meta and Nvidia. The developers will first build an open source community, extract XLA from TensorFlow and build StableHLO, which acts as a portability layer between machine learning frameworks and compilers.

Google also introduced Vertex AI Vision. Vertex AI is a cloud-based service that helps customers deploy pre-trained machine learning models or more easily build their own. Vertex’s latest AI Vision capability aims to help companies launch computer vision-powered products using their own data. Developers can start adding data by dragging and dropping files to be processed by Google’s AI models to perform tasks like product recognition, object recognition, or occupancy counting.

“We are now releasing Vertex AI Vision to expand Vertex AI’s capabilities so they are more accessible to data practitioners and developers,” said Gerrit Kazmaier, VP and GM of Database, Data Analytics and Looker, in a blog post. “This new end-to-end application development environment helps you ingest, analyze and store visual data: for example video streaming in manufacturing plants to ensure safety, or streams from store shelves to improve inventory analysis or follow traffic lights for the management of busy intersections.”

Google claimed Vertex AI Vision will help developers create computer vision products in minutes at a tenth the cost of other platforms. ® Google Cloud now accepts cryptocurrencies as a form of payment • The Register

Rick Schindler

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