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Deep learning solution for customers that frequently train large models and struggle to complete their work on commodity hardware is now available with dynamic features.
FREMONT, CA: Core Scientific has launched the Cloud for Data Scientists™, which combines the best-in-class NVIDIA DGX-2 Systems and the latest Flash Blade solutions to deliver an on-demand AI solution for advanced Data Science applications. It is a perfect solution composed of deep learning algorithms and helps consumers train large models. Core Scientific is a leader in AI and blockchain technologies, providing best-in-class infrastructure and software solutions. The company is an NVIDIA DGX-Ready colocation companion, with a try-and-buy choice. It lets enterprises test drive NVIDIA DGX solutions, and a GPU-as-a-service option that allows businesses to access DGX powered compute in an affordable model.
The aiLab™ provides AI and ML tools built from the ground up specifically for the needs of Data Scientists. Using best-in-class hardware and GPU accelerated software, complete on-demand deep learning solutions, customers can frequently train large models and struggle to complete their work on commodity hardware. Core Scientific curated the best-in-class componentry across the hardware and software landscape to build the Cloud for Data Scientists™. Their main goal is to enable data scientists to take on the most challenging obstacles.
Core Scientific is a leader in AI and blockchain hosting, application development and transaction processing. In an increasingly dispersed and connected world, AI and blockchain will radically change the way information is processed, distributed and stored across a range of businesses. Core Scientific gives custom hosting solutions at scale. Core Scientific is pioneering innovations and best practices in the AI and blockchain landscape, with advanced capabilities operating the infrastructure at scale. The platform is trusted by large-scale partners across the world to deliver reliable solutions that quickly adapt to dynamic market conditions.