Latest news with #Speedata
Yahoo
3 hours ago
- Business
- Yahoo
Israeli Chip Startup Speedata Raises $44M To Challenge Nvidia's AI Dominance With 280x Faster Analytics Processor
Israeli chip startup Speedata has secured a $44 million Series B round, bringing its total funding to $114 million as it prepares to unveil a next-generation processor that may challenge Nvidia's (NASDAQ:NVDA) dominance in AI and big data computing, TechCrunch reports. The round was led by existing investors, including Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, and Viola Ventures, according to TechCrunch. Strategic backers include Intel (NASDAQ:INTC) CEO Lip-Bu Tan, who also serves as managing partner at Walden Catalyst, and Eyal Waldman, co-founder of Mellanox Technologies. Don't Miss: Maker of the $60,000 foldable home has 3 factory buildings, 600+ houses built, and big plans to solve housing — Wall Street's Missing This AI Surgical Tech — You Don't Have To. At the heart of Speedata's innovation is the analytics processing unit, a dedicated chip designed to accelerate data analytics from the silicon level up, TechCrunch reports. Unlike graphics processing units, which were originally designed for graphics and later adapted for data workloads, Speedata's analytics processing unit was engineered solely for analytics performance. 'Our APU is purpose-built for data processing and a single APU can replace racks of servers, delivering dramatically better performance,' Speedata CEO Adi Gelvan told TechCrunch. 'We aim at becoming the standard processor for data processing — just as GPUs became the default for AI training, we want APUs to be the default for data analytics across every database and analytics platform,' he added. In one pharmaceutical test case, Speedata's APU completed a complex data workload in just 19 minutes, compared to 90 hours using conventional hardware. That represents a 280x speed improvement, highlighting the chip's potential to redefine industry benchmarks, TechCrunch says. Trending: Invest where it hurts — and help millions heal:. The APU currently supports Apache Spark, with a product roadmap that includes integration across major analytics platforms. According to TechCrunch, Speedata aims to position its APU as the industry standard for processing analytics data, similar to how Nvidia's GPUs became essential in AI training. Speedata was founded in 2019 by six engineers, including early researchers of multi-threaded coarse-grained reconfigurable architecture, a breakthrough in programmable chip technology, TechCrunch reports. The founding team collaborated with application-specific integrated circuit specialists to design the chip from the ground up to solve analytics bottlenecks. Since its last funding round, Speedata has finalized the design and manufacturing of its first APU, moving from prototype simulations to production hardware in late 2024. The company is growing a pipeline of several large enterprise customers, although names have not been disclosed, TechCrunch plans to showcase its APU publicly for the first time at the Databricks' Data & AI Summit currently underway, according to TechCrunch. The startup is now expanding its go-to-market operations and growing its pipeline of enterprise clients eager to transition to faster and more efficient data processing, TechCrunch says. With $114 million in total funding, Speedata enters the race with both the hardware and investor backing to compete on a global scale. As data workloads continue to grow, Speedata's APU could reshape how businesses process information, potentially giving Nvidia its first serious competitor in data-specific chip architecture. Read Next: Here's what Americans think you need to be considered wealthy. Image: Shutterstock Up Next: Transform your trading with Benzinga Edge's one-of-a-kind market trade ideas and tools. Click now to access unique insights that can set you ahead in today's competitive market. Get the latest stock analysis from Benzinga? INTEL (INTC): Free Stock Analysis Report NVIDIA (NVDA): Free Stock Analysis Report This article Israeli Chip Startup Speedata Raises $44M To Challenge Nvidia's AI Dominance With 280x Faster Analytics Processor originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
5 days ago
- Business
- Yahoo
Speedata raises $44m in Series B funding round
Israel-based startup Speedata has secured $44m (NIS154m) in a Series B funding round to advance its chip technology tailored for data analytics workloads. The latest investment brings the company's total capital raised to $114m. The round saw participation from investors including Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, and Viola Ventures. Strategic investors also joined the round, among them 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 is known for its Analytics Processing Unit (APU), which is designed to significantly accelerate big data analytic workloads across various industries. Concurrently, the company also announced the launch of a new chip aimed at enhancing big data analytics. The APU, powered by Speedata's custom-designed Callisto chip, addresses longstanding bottlenecks in data pipelines, offering substantial acceleration for complex analytics tasks. The chip has been tested by companies in sectors such as finance, healthcare, insurance, and AdTech, the company said. The newly introduced C200 PCIe card features a PCIe Gen5 x16 interface and is designed to be compatible with a range of server environments. It is integrated with Speedata's Dash software stack for Apache Spark, allowing job redirection to the APU without requiring modifications to existing applications or infrastructure. Adi Gelvan, Speedata's incoming CEO, said: 'Everyone knows that AI inference will transform our lives, but none of that happens without data analytics first. 'To paraphrase the well-known saying: 'Diamonds in, diamonds out' – in other words, before AI value can be maximised, 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 raises $44m in Series B funding round" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. 擷取數據時發生錯誤 登入存取你的投資組合 擷取數據時發生錯誤 擷取數據時發生錯誤 擷取數據時發生錯誤 擷取數據時發生錯誤
TechCrunch
6 days ago
- Business
- TechCrunch
Speedata, a chip startup competing with Nvidia, raises a $44M Series B
Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a $44M Series B funding round, bringing its total capital raised to $114M. The Series B round was led by its existing investors, including 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. The APU architecture focuses on addressing the specific bottlenecks of analytics at the computing level, unlike graphics processing units (GPUs), which were initially designed for graphics and later modified for AI and data-related tasks, according to the startup. 'For decades, data analytics have relied on standard processing units, and more recently, companies like Nvidia have invested in pushing GPUs for analytics workloads,' Adi Gelvan, CEO of Speedata, said in an interview with TechCrunch. 'But these are either general-purpose processors or processors designed for other workloads, not chips built from the ground up for data analytics. Our APU is purpose-built for data processing and a single APU can replace racks of servers, delivering dramatically better performance.' Speedata was founded in 2019 by six founders, some of whom were the first researchers to develop Coarse-Grained Reconfigurable Architecture (CGRA) technology. The founders collaborated with ASIC design experts to address a fundamental problem: data analytics were being performed by general-purpose processors. If the workloads grew too complex, they could need to tap into hundreds of servers. The founders believed that they could develop a single dedicated processor to accomplish the task faster using less energy. 'We saw this as an opportunity to put our decades of research in silicon into transforming how the industry processes data,' Gelvan said. Its APU currently targets Apache Spark workloads, but its roadmap includes supporting every major data analytics platform, according to the company CEO. Techcrunch event Save now through June 4 for TechCrunch Sessions: AI Save $300 on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | REGISTER NOW 'We aim at becoming the standard processor for data processing—just as GPUs became the default for AI training, we want APUs to be the default for data analytics across every database and analytics platform,' Gelvan told TechCrunch. The startup says it has a number of large companies testing its APU, though it declined to name them. The official product launch is set for the Databricks' Data & AI Summit in the second week of June. Gelvan said that they will publicly showcase its APU for the first time at the event. Speedata claims a specific case where its APU completed a pharmaceutical workload in 19 minutes, which was significantly faster than the 90 hours it took when using a non-specialized processing unit, resulting in a 280x speed improvement. The startup said it has achieved several milestones since its last fundraising, including finalizing the design and manufacturing of its first APU in late 2024. 'We've moved from concept to testing on a field-programmable gate array (FPGA), and now we are proud to say we have working hardware that we are currently launching. We already have a growing pipeline of enterprise customers eagerly waiting for this technology and were ready to scale our go-to-market operations,' Gelvan, said.
