From Cloud to Edge
quantity of data to analyze is increasing
so much that there is a need for a new
generation of processors to face this explosion:
A need for intelligent processors.
MPPA® INTELLIGENT PROCESSORS FOR
DATA PROCESSING / COMPUTE ACCELERATION / AI INFERENCE
Kalray’s MPPA® intelligent processors capture and analyze on the fly massive data flows and interact in real time with the outside world. They are deployed at the heart of intelligent systems, in fast-growing areas such as next generation data centers,
Edge Computing and AI:
Kalray’s Unique MPPA® Manycore Technology
Taking full advantage of Kalray’s patented technology, Kalray’s MPPA® Coolidge™ processor is a scalable 80-core processor designed for intensive real time processing. Whilst data processing acceleration is getting critical for many applications, Kalray processors offer a unique, fully programmable alternative to traditional approach such as GPU, ASIC and FPGA .
Coolidge™ processor has the capability to run in parallel and in real time a wide set of heterogenous processing and control tasks such as AI, mathematical algorithms, inline signal processing, network or storage software stacks. By adopting Kalray MPPA® Manycore processors and solutions, we can help you realize the exacting requirements of your next generation intelligent systems.
What Makes Kalray’s Processors Unique?
Some of you know my passion for technology, explaining things and sharing my knowledge with all the colleagues/coworkers, customers and partners I am lucky enough to meet whenever it is possible. You may also know my long standing support for Read More
In order to respond effectively to the new needs related to Edge Computing, new hardware and software technologies are necessary… and available today! This joint webinar (in French) from Kalray and eSOL raised a lot of interest. Here is the Read More
According to Deloitte Digital, in the last 2 years, humans and machines have created 9 times more data than since the beginning of humanity and it continues to grow exponentially! The vast majority of this data is generated by people, Read More