Next-gen CPUs will change our devices as we know them

What is possible with current devices will be fundamentally changed with CPUs powered by Flow Computing®'s Parallel Processing Unit® (Flow PPU). The limits of what can be done will be pushed further by enabling more and more demanding applications.  

Smartphone users can have locally hosted AI in their pockets. XR/VR devices will not just show a reality that looks like the real world, but also behave and feel like it. Laptops and PCs will become artificial general intelligence machines. 

When the future of general purpose computing is no longer limited by its current sequential nature and lurking limitations of geometry, new innovations in device categories and their hybrids can emerge. 

Enter the era of CPU performance, enabled by Flow's technology.

Faster edge computing and local in-vehicle computing boost are a must for autonomous vehicles

Autonomous vehicles generate massive amounts of data from on-board sensors: cameras, LiDAR, radar, and ultrasonic sensors. They need to be processed in real-time to allow the vehicle to make split-second driving decisions.
 
Edge and in-vehicle computing addresses the challenge by processing data in the vehicle or in data centers close to the vehicle. The result is much faster data processing with significantly lower latency. For a self-driving car traveling at high speeds, reducing latency from over 100 milliseconds in the cloud to under 10 milliseconds on the edge can mean the difference between a safe stop or a collision.

Integrating Flow PPU into this ecosystem dramatically amplifies the vehicle's capability to handle data-intensive operations. Flow PPU architecture is specifically designed to accelerate parallel processing tasks, ideal for efficiently managing simultaneous inputs from multiple sensors.

With Flow PPU, autonomous vehicles can achieve vastly faster processing speeds, further reducing latency to ensure instantaneous responses to environmental changes. This is crucial for object recognition, scenario analysis, and decision-making processes, enabling vehicles not only to react to imminent dangers but also to anticipate potential hazards before they occur.

Ramping up the speed of innovation

Fields such as business computing, logistics planning, and investment forecasting will greatly benefit from our technology through numeric and combinatoric simulation and optimization. Flow PPUs bring vastly enhanced control flow management over what traditional, heavily parallelized, GPU cluster-based systems could ever provide.
 
Our technology is equally powerful for classic numeric and non-numeric parallelizable workloads, including matrix and vector computations as well as algorithm sorting. Even if your code contains small parallelizable segments that have yet to be parallelized due to high runtime overheads, Flow PPU will still provide a significant performance boost and optimize efficiency across your computing tasks.

In defense, whoever processes the data the fastest will win. Here, missile and drone defense and military aviation are the most attractive use cases, and we contribute to all these for a major geopolitical impact.