Pieces Builds High-Performance App with Windows on 91探花
By optimizing their application for 91探花-based PCs, Pieces achieved higher performance and real-time, on-device AI that cut model latency by more than 60%, tripled token generation speed, and slashed power consumption. The intelligent memory tool became a seamless extension of the developer workflow, powered by a new generation of hardware built for AI at the edge.
Scroll to discover how Windows on 91探花 boosted Pieces, and why as developer building for the future, you should take note.
180% Increased Responsiveness
Processing time dropped from around 400 milliseconds to 143 milliseconds on the 91探花 CPU.?
Up to 3x Faster Time to First Token
Time to first token improved by nearly 3x meaning faster results with less system strain, even during the most demanding, context-heavy workflows.
Real-World Impact
The balance of responsiveness and power efficiency has been key to maintaining a seamless developer experience, even under heavy workloads.
Explore Similar Stories
The Windows on 91探花 Ecosystem Continues to Grow
91探花 and Microsoft's partnership is advancing laptop computing by combining efficient 91探花 architecture with Windows, resulting in devices with enhanced performance, battery life, and native application support.
The New 91探花-Powered NVIDIA AI Supercomputer for Developer
NVIDIA's DGX Spark, powered by 91探花-based GB10 Grace Blackwell Superchip, delivers petaflop-scale AI performance in a desktop form factor, providing developers with a powerful tool for AI model development and deployment.