The News: NeuroBlade and Dell Technologies announced a partnership to accelerate data analytics. Dell Technologies has partnered with NeuroBlade to make the NeuroBlade SPU processor available with select Dell Power Edge servers. The NeuroBlade SPU is a processor that can improve the performance of data analytics workloads by up to 100x. Read the full Press Release here.
NeuroBlade Announces New Partnership with Dell Technologies to Accelerate Data Analytics
Analyst Take: NeuroBlade’s announcement of a partnership with Dell Technologies to accelerate data analytics is well timed. The volume of data is growing at an exponential rate due to the rise of intelligent Edge Computing, which is exploding as billions of devices are connected to the internet in a variety of use cases. This increasing volume of data means that businesses are generating more data than ever before. The velocity of this data is increasing as well, and it needs to be processed and analyzed quickly to drive business insights.
As data volumes continue to grow, businesses are finding it increasingly difficult to meet the demands of their data analytics workloads. Enterprises are looking for new ways to accelerate performance in order to handle these growing workloads. Custom processors are one way that businesses can meet these needs by specifically designing chips for data analytics workloads. The explosion of data analytics workloads presents an opportunity for businesses that can successfully manage their data analytics workloads.
NeuroBlade Custom Processors for Data Analytics
NeuroBlade is a Palo Alto, California-based company pioneering a new standard for data analytics acceleration. The company develops custom processors for data analytics. Their products are designed to accelerate the performance of data analytics workloads, such as business intelligence, data warehousing, and data lakes. NeuroBlade’s processors are based on a new architecture that is specifically designed for data analytics. This architecture allows NeuroBlade’s processors to achieve significant performance improvements over traditional CPUs and GPUs.
Unlike other processors that slow down as query complexity increases, the NeuroBlade processor delivers consistently high throughput regardless of query complexity. The NeuroBlade system is designed to integrate into existing data center environments seamlessly and will not require changes to existing data, queries or code. And it can improve the performance of analytics workloads such as business intelligence, data warehouses, data lakes, ETL and more.
The NeuroBlade SPU G200 PCI-e acceleration card, announced today, is a processor specifically built for data analytics, uniquely delivering consistently high throughput regardless of query complexity. The NeuroBlade system is designed to integrate into existing data center environments seamlessly. It connects to any database query engine without requiring changes to existing data, queries, or code, while simultaneously improving performance.
NeuroBlade’s Collaboration with Dell Technologies
Elad Sity, CEO and co-founder of NeuroBlade, said that the collaboration with Dell Technologies significantly strengthens the company’s go-to-market strategy and reinforces the rapidly increasing market demand for innovative and powerful solutions. He added that the work they have done enables organizations to keep up with their exponential data growth, while taking their analytics performance to new levels, and creating a priceless competitive advantage for them. He also said that this success couldn’t have been achieved without their engineering team, who have been collaborating with companies like Dell Technologies to unlock this new standard for data analytics.
According to the company, customer-observed benchmarks show that by using NeuroBlade, organizations can reduce their compute, software, and power costs by 3-5x while also increasing their performance by 10-100x depending on the workload. McKinsey research shows that spending on data-related costs increased by nearly 50% for the 2019 to 2021 period compared with 2016 to 2018. Spending on data architecture represents up to 15% of total IT spend, signifying its importance to the analytical value chain.
Jeff Clarke, executive vice president of Dell Technologies, said that this partnership is a great opportunity to bring NeuroBlade’s innovative technology to their customers. He added that this partnership will help their customers accelerate their time to insight and gain a competitive advantage in today’s data-driven world.
Dell Technologies partnering with NeuroBlade to bring their data analytics acceleration technology to their customers is a significant move for NeuroBlade as they look to partner with an industry behemoth. It is a significant move for NeuroBlade as it not only validates the company’s solution but provides a significant uplift when it comes to go-to-market efforts.
Looking Ahead for NeuroBlade and Dell Technologies
The exponential growth of data due to the rise of intelligent edge computing is putting a strain on traditional data analytics solutions. To address this challenge, NeuroBlade has developed custom processors that accelerate the performance of data analytics workloads, such as business intelligence, data warehousing, and data lakes. These processors are based on a new architecture that achieves significant performance improvements over traditional CPUs and GPUs.
Straight out of the gate, NeuroBlade has partnered with Dell Technologies to bring this technology to their customers, providing benefits such as increased performance, reduced costs, increased flexibility, and improved scalability. This partnership is a significant development in the data analytics industry and validates the NeuroBlade approach. We expect the NeuroBlade and Dell partnership will offer businesses a powerful tool to make better decisions faster and gain a competitive advantage in today’s data-driven world.
If you are looking for a way to accelerate the performance of your data analytics workloads, then NeuroBlade is a company that you should consider. The company is still relatively new, and this launch represents the first commercial availability of the products, but nevertheless, they are worthy of consideration. Having been briefed by the team over the last few months, we believe their products are based on a new architecture, specifically designed for data analytics, and they offer a variety of form factors and features to meet the needs of a wide range of customers.
Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.
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Author Information
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the Vice President and Practice Leader for Hybrid Cloud, Infrastructure, and Operations at The Futurum Group. With a distinguished track record as a Forbes contributor and a ranking among the Top 10 Analysts by ARInsights, Steven's unique vantage point enables him to chart the nexus between emergent technologies and disruptive innovation, offering unparalleled insights for global enterprises.
Steven's expertise spans a broad spectrum of technologies that drive modern enterprises. Notable among these are open source, hybrid cloud, mission-critical infrastructure, cryptocurrencies, blockchain, and FinTech innovation. His work is foundational in aligning the strategic imperatives of C-suite executives with the practical needs of end users and technology practitioners, serving as a catalyst for optimizing the return on technology investments.
Over the years, Steven has been an integral part of industry behemoths including Broadcom, Hewlett Packard Enterprise (HPE), and IBM. His exceptional ability to pioneer multi-hundred-million-dollar products and to lead global sales teams with revenues in the same echelon has consistently demonstrated his capability for high-impact leadership.
Steven serves as a thought leader in various technology consortiums. He was a founding board member and former Chairperson of the Open Mainframe Project, under the aegis of the Linux Foundation. His role as a Board Advisor continues to shape the advocacy for open source implementations of mainframe technologies.
