vScaler® launches its AI Reference Architecture
The development of AI solutions is complex and varies greatly depending on the application. From data capture and ingestion, to preprocessing and algorithm development – the AI lifecycle involves …
The development of AI solutions is complex and varies greatly depending on the application. From data capture and ingestion, to preprocessing and algorithm development – the AI lifecycle involves …
AI is disrupting the world as we know it. Industries across the board are using AI technology to improve quality, performance, functionality and even revenue growth. AI, both as a …
The worlds of AI and HPC have an insatiable appetite for more and more performance. With the rise of GPUs being used to run a lot of these AI frameworks, …
LONDON, NOVEMBER 2018: vScaler has incorporated NVIDIA’s new RAPIDS open source software into its cloud platform for on-premise, hybrid, and multi-cloud environments. Deployable via its own Docker container in the vScaler …
There are numerous examples of Artificial Intelligence (AI) being used to accelerate everything from computational drug discovery through to medical imaging analysis. It has become a fundamental requirement in healthcare …
Artificial Intelligence is currently creeping into the gambling industry. Gambling companies are reticent in embracing this fully as previous investments in technology-driven solutions have not always borne fruit, such as …
vScaler enables anyone to quickly deploy scalable, production-ready deep learning environments via an optimised private cloud appliance. Spin up application-specific environments with the appropriate Deep Learning frameworks installed and ready …