Lack of software infrastructure is a fundamental bottleneck in achieving AI’s immense potential – a fact not lost on tech giants like Google, Facebook, and Microsoft. These elite firms have invested massive resources and expertise to build proprietary, AI-native internal infrastructure, and are already reaping the benefits in the form of transformative AI-powered applications and productive Deep Learning Engineers. For everyone else who doesn’t have access to this infrastructure, building practical applications powered by AI remains prohibitively expensive, time-consuming, and difficult.
Determined AI and AWS SageMaker are both platforms that accelerate these Machine Learning Engineering workflows, but with key differences that we compare, in detail.
A Response To Andreessen Horowitz’s “The New Business Of AI”
In this post, we explore the reasons behind it and suggest paths towards scalable training that have the potential to reliably work out of the box.
In our latest blog post, we discuss some of the theoretical and practical considerations that deep learning engineers run into as they attempt to scale training beyond a single machine.
The environmental impact of artificial intelligence (AI) has been a hot topic as of late—and I believe it will be a defining issue for AI this decade.
Determined AI provides an intuitive deep learning training platform, so that you can focus on models, rather than infrastructure. We tightly integrate hyperparameter tuning and distributed training so that you can experiment efficiently and iterate rapidly.
Decades ago, Japan faced an unavoidable, long-term economic challenge. Even as its economy reached record highs in the late 1980s (fueled by strong auto sales, the rise of innovative companies like Nintendo, and real estate speculation), it was preparing for the coming day when more than a quarter of its population would be over age 65.
In the first of a series of posts, we share some thoughts on papers and blog posts that we’re reading right now that have generated some fiery internal discussion at Determined AI.
With the AI revolution solidly underway, tech’s top 5 companies are investing huge amounts of money into AI development and AI engineering talent.