Description: Our expertise in compressing recurrent neural networks allows us to do more at the edge today. Re-configurable to future-proof your designs for whatever AI may come tomorrow.
We optimize machine learning inference workloads for multiple applications in cloud or enterprise data centers and in edge applications. Our products, expertise and IP ensure all available compute resources are optimized for cost, throughput, latency and energy.
For financial companies wishing to use ML to make automated trading-related decisions faster than their competitors, VOLLO provides that competitive advantage. Audited performance results for the STAC Research ML inference benchmark confirm that VOLLO has the lowest latency as well as high throughput density and energy-efficiency.
Recommendation models power the recommendation systems behind search, adverts & personalized content. Performance of these models is often constrained by system memory. We can eliminate this constraint, increasing compute density by up to 10x on existing infrastructure.