Very good news. Dataproc now lets you use NVIDIA GPUs to accelerate XGBoost in a Spark pipeline. This combination can speed up machine learning development and training up to 44x and reduce costs 14x when using XGBoost. With this kind of GPU acceleration for XGBoost, you can get better performance, speed, accuracy, and reduced TCO, plus an improved experience when deploying and training models. Spinning up elastic Spark and XGBoost clusters in Dataproc takes about 90 seconds. https://gweb-cloudblog-publish.appspot.com/products/data-analytics/ml-with-xgboost-gets-faster-with-dataproc-on-gpus/amp/
Very good news. Dataproc now lets you use NVIDIA GPUs to accelerate XGBoost in a Spark pipeline. This combination can speed up machine learning development and training up to 44x and reduce costs 14x when using XGBoost. With this kind of GPU acceleration for XGBoost, you can get better performance, speed, accuracy, and reduced TCO, plus an improved experience when deploying and training models. Spinning up elastic Spark and XGBoost clusters in Dataproc takes about 90 seconds. https://gweb-cloudblog-publish.appspot.com/products/data-analytics/ml-with-xgboost-gets-faster-with-dataproc-on-gpus/amp/
Start with a fresh view of investing strategy. The combination of risks and fads this quarter looks to be topping. That means the future is ready to move in.Likely, there will not be a wholesale shift. Company actions will aim to benefit from economic growth, inflationary pressures and a return of market-determined interest rates. In turn, all of that should drive the stock market and investment returns higher.
To pay the bills, Mr. Durov is issuing investors $1 billion to $1.5 billion of company debt, with the promise of discounted equity if the company eventually goes public, the people briefed on the plans said. He has also announced plans to start selling ads in public Telegram channels as soon as later this year, as well as offering other premium services for businesses and users.
