Case Study: How DeepAI Makes Generative AI Safer With Shadeform
By Dylan Condensa
Bringing AI to Everyone
DeepAI is all about making generative AI easy and accessible for everyday users. Their apps help people create with AIâwhether itâs chatting with a bot, generating images, making videos, or even composing musicâno coding skills required. But as their platform grew in popularity, so did their challenges. More users meant a higher risk of bad actors misusing the technology, making it critical to implement advanced safety features. To keep things running smoothly and securely, DeepAI needed a way to experiment with AI safety at scale, without burning through their budget or bogging down their team.
The Challenge
With more casual users coming on board, the chance of inappropriate content being generated increased. DeepAI needed to test new safety measures for both language and image outputsâquickly and often.
Running these experiments required single instance GPUs for relatively short periods of time, so reserving GPUs would likely be a waste. However, the pricing of on-demand instances through platforms like Azure and AWS can be incredibly unpredictable and expensive.
They needed a smarter way to experiment and scale their operations seamlessly without breaking the bank.
The Solution
Thatâs when DeepAI turned to Shadeform, a platform designed to simplify access to on-demand GPUs by centralizing offerings from multiple providers. Think of it as a one-stop shop for affordable, scalable compute power.
Hereâs how Shadeform helped:
- Affordable Testing at Scale: With Shadeform, DeepAI could easily compare prices across providers and spin up GPUs when they needed themâno waste, no compromises.
- Simple Setup, Fast Results: Shadeformâs user-friendly API made it quick and easy to manage GPU instances. In just minutes, DeepAI could launch experiments and get to work.
- Streamlined Infrastructure: Instead of juggling multiple systems, everything ran through Shadeformâs clean, unified interface, letting DeepAI focus on refining their AI instead of wrestling with infrastructure.
Real Results
Using Shadeform, DeepAI unlocked some big wins:
- Stronger AI Safety: They built powerful systems to spot unsafe content, using advanced image and natural language processing to ensure their tools were responsible and accessible to everyone.
- Faster, Smarter Experiments: Shadeform gave them the flexibility to test and tweak their safety features on-demand, cutting out the delays and high costs of traditional methods.
- Simplified Operations: With Shadeformâs streamlined platform, their team spent less time on infrastructure headaches and more time improving their platform.
What The Team is Saying
"Training machine learning models and analyzing customer data has been crucial to our business at various points. We have found Shadeform to be a very reliable and user friendly cloud interface for us to manage virtual machines during our development work, and their team has always answered our questions and addressed our concerns with the utmost promptness!"
Matthew Reed | AI Research Scientist, DeepAI
Why This Matters
With Shadeform in their corner, DeepAI has transformed how they tackle AI safety. By making experimentation seamless and affordable, theyâve built a platform thatâs not just easy to use, but also secure for a wide range of users. Shadeform has become a key partner in DeepAIâs mission to deliver intuitive, responsible AI tools to everyone.
Thinking about simplifying your AI workflows? Shadeform can help. Sign up for free today and see whatâs possible.