However, the current approach to create and deploy these applications is slow, hard or unenjoyable. Data scientists must:
Even teams of data scientists working together will take several months or even years to develop deep learning and AI applications for production.
Data scientists, engineering and devops teams must:
Meanwhile, IT and management are trying to control costs, increase utilization, and maintain high service levels with hardware that is unique, inconsistent, and spends long periods of time idle.
Bitfusion took our groundbreaking GPU virtualization tech, combined it with our pre-built machine images, and layered in a great user experience with loads of intelligent automation to create the industry’s first end-to-end deep learning and AI development platform.
Yahoo, Facebook, Google, and others pioneered technologies like Hadoop and later Spark to ensure that massive data could be collected while still being “online” for data scientists. Now this tech is being adopted industry-wide.
Because deep learning’s matrix multiplication can be run across multiple cores, GPUs (graphical processing units) which are normally reserved for gaming or oil and gas simulations, end up being an ideal platform for training AI models.
In the past, big data and big compute meant investing in hugely expensive, warehouse-scale supercomputers, or physical data centers. Today, chaining together several supercomputers can happen in minutes and be paid for by the hour, minute, or the function call.
At Bitfusion, we enable you to develop, train, and deploy deep learning and AI applications to crawl massive datasets and leverage big scale-up and scale-out compute, quickly and cost-effectively.
Application performance demands are outpacing Moore’s Law — to combat that, modern data centers are now comprised of heterogeneous hardware systems beyond CPUs. Each of these systems are tailored for specific kinds of workloads and different levels of flexibility:
A fundamentally different approach to computing is required to tackle the time and cost challenge, meet performance demands, and take advantage of these diverse hardware-based innovations to maximize R&D investments.
Bitfusion champions this approach through our innovative software so that developers and data scientists can: