Speedata, provider of an Analytics Processing Unit (APU) is designed to accelerate big data analytic workloads, today announced the launch of its breakthrough chip as well as the closing of its $44 million Series B funding round, bringing its total capital raised to $114 million.
The round includes participation from Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, and Viola Ventures, as well as strategic investors including Lip-Bu Tan, CEO of Intel and managing partner at Walden Catalyst Ventures, and Eyal Waldman, co-founder and former CEO of Mellanox Technologies.
Speedata’s APU, powered by its custom-designed Callisto chip, removes long-standing bottlenecks that slow down even the most advanced data pipelines, delivering unprecedented acceleration for complex analytics workloads, according to the company.
The company aims to have a server with Speedata’s APU replace multiple racks of processors and deliver orders of magnitude acceleration for Spark ETL and analytics jobs, while dramatically reducing the cost of running existing data pipelines.
This enables large-scale data infrastructures with lower space requirements, reduced power consumption, and faster processing of massive data sets and complex analytics workflows.
"Everyone knows that AI inference will transform our lives, but none of that happens without data analytics first,” said Adi Gelvan, Speedata’s incoming CEO tasked with leading the company’s next growth phase in the wake of the launch. “To paraphrase the well-known saying: ‘Diamonds in, diamonds out’—in other words, before AI value can be maximized, the data must be ready. Speedata’s APU is the missing link, unlocking scalable, real-time analytics that power everything from business intelligence to medical breakthroughs to next-gen AI applications. It’s the catalyst AI needed to get to the next era.”
Speedata’s transformative chip has already been tested by launch partners from sectors spanning finance, healthcare, insurance, and AdTech—enterprises that depend on mass-scale analytics for business-critical decision-making.
“Data analytics is no longer a ‘nice to have,’ but a critical layer of modern computing, especially in the age of AI,” said Eyal Waldman, co-founder and former CEO of Mellanox Technologies and board member at Speedata. “Speedata’s APU brings the same kind of leap forward to data analytics that GPUs brought to AI. With the launch of this processor, Speedata is redefining how data-driven workloads are executed—unlocking new efficiencies, scale, savings and impact across industries.”
The C200 PCIe card, powered by the Callisto APU, features a PCIe Gen5 x16 interface, is server-agnostic, and is optimized with the Dash software stack for Apache Spark to dynamically re-direct jobs to the APU without requiring changes to existing applications or infrastructure, the company said.
For more information about this news, visit www.speedata.io.