To successfully deploy state-of-the-art AI, three criteria must be met: a large and clean dataset with little bias, great algorithms and models, and an efficient compute infrastructure that can be scaled easily without staggering increases in cost.
With the growing popularity of AI and cumulative investments over the years, “Data” and “Algorithm,” have become much more accessible. Many open-source and commercial tools exist for data labeling and annotation. Libraries like FastAI, Hugging Face, and PyTorch Lightning are providing higher level abstractions to make model prototyping and research easier.
Most importantly, the introduction of the Transformer architecture enabled a new paradigm of deep learning development. Transformers allowed the use of open-source pre-trained models and their adoption to individual datasets, creating a new era of deep learning for natural language processing. The Transformer architecture provided remarkable performance on tasks such as text generation, classification, translation, and more. However, the models were much larger than the computer vision versions, making them easy to explore but harder to put into production.
With larger and more accurate ML models, average model latency has increased, resulting in less model inferences per dollar. Accordingly, larger ML models have become more expensive, time-consuming, and difficult to deploy than their smaller counterparts. The solution to this problem is AI acceleration: a process of making compute-intensive workloads run faster and more efficiently through hardware and software. However, only the largest tech companies have access to these technologies, leaving everyone else who wants to efficiently deploy the best ML models behind.
After years of research on making machine learning algorithms run as efficiently as possible, we have decided to tackle the challenges of AI acceleration to make the best AI accessible to everyone through our Accelerated AI Platform.
Stochastic X revolutionizes how companies use machine learning models by generating a production-grade AI pipeline, powered by automated AI acceleration technology. Through our proprietary AI-powered solution, we enable customers to optimize AI models based on their individual objectives.
With Stochastic X, companies can:
The Stochastic X platform has the following features:
Stochastic supports deploying models on the cloud or on-premise. Stochastic works with all the popular tools and frameworks.
Stochastic has built a platform that makes the best AI accessible to all companies. Through libraries, UI or APIs, large and complex models can be automatically optimized, and deployed to production in a line of code or a click of a button. Access Stochastic X here.
For more information, contact us at firstname.lastname@example.org.