Kalray announced the commercial availability of its latest product, the TURBOCARD4 (TC4) acceleration card. Powered by four of Kalray's latest generation of DPU processors, the TC4 targets the fast growing markets of AI-powered smart vision and data-indexing applications. The TC4 is manufactured in France, in the French plant of Asteelflash, one of the leading global manufacturers worldwide.

Kalray already received an initial order of more than $1 million (h hundreds of cards)1 to be recognized this year. TC4 TARGETS THE FAST GROWING COMPELERATION CARD marketET: Whereas enterprises and data centers have to process an ever-growing amount of data, compute acceleration cards are getting more and more traction to bring the best performance and best power efficiency in data processing. TC4 embodies Kalray's vision in addressing the intricate demands of modern computing workloads.

Housing four of the latest generation of Kalray's DPUs, Coolidge2TM, in a single PCIe card, Kalray's TC4 is designed to ensure customers can merge classical and AI-based processing technologies and create superior, efficiency-driven systems for the most processing-intensive AI applications. DPUs offer a very complementary architecture to GPUs, allowing for the processing of a large number of different operations in parallel in an asynchronous way. DPUs are well-suited for pre-processing data that is later used by GPUs or in the context of complex intelligent systems running many different algorithms in parallel.

Smart vision applications play a pivotal role in transformative sectors such as Industrial, Health Science, or Smart City operations due to their ability to analyze visual data in real-time, make intelligent decisions, and automate complex processes. The smart vision market size was valued at USD 20.31 billion in 2023 which is forecasted to reach USD 175.72 billion by 2032, exhibiting a CAGR of 27.3% (Fortune Business Insights). These projections highlight the increasing demand of smart vision technologies across various industries, driven by advancements in AI and machine learning, and their application in automation, quality control, and enhanced operational efficiencies.

And the data-INDEXING for GEN-AI marketET: In the context of Generative AI, data indexing is crucial for several reasons. Generative AI models, such as those used in natural language processing or image generation, often need to access enormous datasets.