Israeli semiconductor startup Speedata raised funds of $44 million Series B funding round to support the development of its Analytics Processing Unit (APU) – a chip designed for big data and artificial intelligence workloads. The company has now raised $114 million.
The company’s previous investors, Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, and Viola Ventures, also contributed to the financing. Noted strategic investors, such as Lip-Bu Tan, CEO of Intel and managing partner at Walden Catalyst Ventures, and Eyal Waldman, co-founder and former CEO of Mellanox Technologies , also participated.
The Speedata APU architecture is designed to tackle the specific bottlenecks of computing-level data analytics, also known as “Big Data” – in contrast to GPUs, which were initially intended for graphics processing and have been adapted for AI and data tasks. Under the hood, APU can replace entire server racks and will also perform significantly better, according to CEO Adi Galvan.
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Founded in 2019 and staffed by early innovators in Multi-Threaded Coarse-Grained Reconfigurable Architecture (CGRA). They’re working with a team of ASIC experts to overcome the deficiencies of running next-gen analytics on general-purpose processors.
While it will support all primary data analytics platforms, the initial workloads for Speedata will be based on Apache Spark. The company has several large enterprises testing its APU and would likely become the standard processor for data analytics, as GPUs are for AI training, he says.
Given the surge in data analytics, Speedata’s dedicated APUs may offer a power-efficient and high-performance alternative to processors, and the company may one day become a competitor to the likes of NVIDIA.
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