Deploying private and secured Gen-AI models is 5 to 10x more expensive than using third-party services.
With Exxa, increase the usage rate of your private infrastructure from 30% to +80%.
Here's how we do it:
Run AI at the right time on the right hardware, optimizing resource allocation based on workload priority and availability.
Run low-priority batch tasks in parallel with your critical streaming applications, ensuring maximum hardware utilization without compromising performance.
Use Exxa's specialized inference engine to maximize hardware utilization, optimizing for throughput, latency, and energy efficiency across your entire infrastructure.
See how our solution intelligently prioritizes streaming applications while efficiently managing lower-priority tasks in the background.
Real-time applications get immediate access to compute resources
Batch tasks are processed efficiently during compute availability
Maximize hardware utilization with dynamic workload balancing
The environmental footprint of Generative AI is substantial, with most recent projections showing up to 5x increase in digital CO2 emissions by 2030. At EXXA, we are dedicated to developing the most efficient LLM inference services while minimizing environmental impact.
