Overview

Aneta is a modern HR engagement platform that leverages AI to transform how organizations connect with and support their employees. By utilizing AI-powered surveys, actionable insights, and seamless automations, Aneta helps teams uncover hidden issues, align with objectives, and turn feedback into tangible progress.

The Challenge

As Aneta's platform evolved, the need for substantial GPU resources became evident, especially during periods of intensive data processing. However, their existing cloud infrastructure posed significant challenges:

• Bursty Workloads: Aneta's operations involved running hundreds or thousands of GPUs in parallel for short durations, followed by extended periods of minimal GPU usage.
• Cost Inefficiencies: Traditional cloud providers either required long-term commitments for always-on GPUs or charged exorbitant fees for pay-as-you-go models, neither of which aligned with Aneta's usage patterns.

Yasyf, cofounder of Aneta, highlighted the predicament:

"Before we started using RunPod, one of the big challenges for us was finding cloud providers that fit with our specific workload. For two, three, four weeks at a time, we'll be running hundreds or thousands of GPUs in parallel, and then we could go two months not needing to run a single GPU."

The Solution

Seeking a more adaptable and cost-effective solution, Aneta turned to RunPod. The transition offered several advantages:

• Flexible Infrastructure: RunPod's serverless GPU infrastructure allowed Aneta to scale resources up or down based on real-time demand, eliminating the need for long-term commitments.
• Cost Savings: By paying only for the compute power used, Aneta significantly reduced its operational expenses.
• Seamless Integration: With containerized workflows and Docker images, migrating to RunPod was straightforward.

Yasyf noted the ease of migration:

"Migrating to RunPod was very simple because we have all of our workflows containerized in Docker images. And so with RunPod's serverless infrastructure, it's one-click deploy for a Docker image."

The Results

The integration of RunPod into Aneta's operations yielded remarkable outcomes:

• 90% Reduction in Infrastructure Costs: By aligning compute usage with actual demand, Aneta achieved substantial cost savings.
• Enhanced Operational Efficiency: The team could focus more on product development rather than infrastructure management.
• Improved Responsiveness: RunPod's support team provided prompt assistance, ensuring smooth operations.

Luke, the other cofounder, emphasized the impact:

"RunPod has changed the way we ship because we no longer have to wonder if we have access to GPUs. We've saved probably 90% on our infrastructure bill, mainly because we can use bursty compute whenever we need it."

Conclusion

For startups like Aneta, with dynamic and intensive GPU requirements, RunPod offers a scalable, cost-effective, and responsive solution. The partnership has empowered Aneta to focus on its core mission: enhancing employee engagement through AI-driven insights.

"For small teams with complex and unique GPU workloads, I think RunPod is the perfect infrastructure provider." —Yasyf