Cognyte - Case study | SwarmOne.ai

Case Study

Advancing AI Model Training with SwarmOne

SwarmOne eliminated our infrastructure barriers, allowing us to train the latest AI models without friction. The scalability and ease of use are game-changers.

Cognyte AI Team

Summary

Cognyte leveraged SwarmOne’s AI infrastructure to fine-tune advanced audio models such as Whisper and large-scale language models like Phi, Llama2, Llama3, Mistral, Mixtral, Codestral, and more.
By doing so, Cognyte significantly reduced engineering complexity, optimized compute resources, and accelerated model training, enabling real-time AI advancements.

Industry: AI & Security Intelligence

Company Size: Nasdaq: CGNT – ~1500 Employees

Original GPU Provider: On-premise & Cloud-based solutions

The Challenge

Cognyte initially sought SwarmOne’s platform to address critical AI infrastructure challenges, including:

Limited compute power, slowing down model iterations.
High engineering barriers in setting up and maintaining training pipelines.
The need for predictable and cost-effective AI training at scale.

Beginning with audio and vision models, Cognyte quickly realized the benefits of SwarmOne’s seamless infrastructure. Encouraged by early success, their executive team backed further expansion into training LLMs at scale.

“We needed a solution that would allow us to fine-tune state-of-the-art models without spending months on infrastructure setup.”

Why SwarmOne?

“Training LLMs requires seamless scalability. SwarmOne’s platform fit like a glove for our needs.”

Cognyte selected SwarmOne for its:

Effortless Scalability: Instantly adapts to new AI architectures without additional engineering efforts.
Parallel Model Training: Enables multiple AI models to be trained simultaneously, reducing time-to-market.
Predictable AI Costs: Eliminates compute-sharing bottlenecks, ensuring consistent budgeting.
Optimized GPU Usage: Automatically provisions hardware for maximum efficiency and performance.

“With SwarmOne, we can immediately train new models upon release, giving us a major competitive edge.”

The Impact

SwarmOne empowered Cognyte to:

90% Less Personnel Time: Eliminated time spent configuring infrastructure.
Eliminate Engineering Overhead: No need for complex GPU provisioning or pipeline setup.
Achieve Predictable AI Scaling: Maintained cost efficiency while expanding AI capabilities.
Money Saved: $150,000 annually, saved by avoiding infrastructure development costs and DevOps overhead.

With SwarmOne, Cognyte rapidly deployed fine-tuned AI models, significantly boosting real-time security intelligence solutions.

The Future

Cognyte continues to push the boundaries of AI with SwarmOne, leveraging its ability to train cutting-edge models without infrastructure headaches. Their teams are now focused on AI-driven innovation rather than compute limitations.

“SwarmOne allows us to stay ahead of the curve. We’re no longer waiting on infrastructure—we’re leading AI advancements.”

Looking to scale AI training effortlessly? SwarmOne is the key to unlocking your AI potential.