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 …
vScaler AI Reference Architecture White Paper
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 …
ResNet Benchmarks on the NVIDIA™ DGX-2 Server
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, …
vScaler integrates RAPIDS for accelerated data science toolchains
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 …
AI in Healthcare
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 …
AI in Gambling – an Industry Focus
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 …
Deep Learning in the Cloud Demo
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 …