NeuroBlade Empowers Accelerated Next-Gen Data Analytics on New Amazon Elastic Compute Cloud F2 Instances

NeuroBlade Empowers Accelerated Next-Gen Data Analytics on New Amazon Elastic Compute Cloud F2 Instances

Mountain View, California – December 13, 2024NeuroBlade, a leader in data analytics acceleration technology, today announced support for the newly released Amazon EC2 F2 instances, unlocking breakthrough performance for cloud-native data analytics workloads. These new instances, powered by AMD FPGA and EPYC CPUs, now feature NeuroBlade’s acceleration platform—enabling customers to process more data, faster, and with greater efficiency.

With the proliferation of AI/ML applications and the shift of enterprise data workloads to the cloud, NeuroBlade’s integration with EC2 F2 represents a significant leap forward in analytics infrastructure. This powerful cloud-based solution enables faster queries, superior scalability, and improved total cost of ownership (TCO) compared to traditional CPU-based systems.

“By leveraging AMD FPGA and EPYC technologies, our acceleration platform on EC2 F2 instances is removing long-standing performance bottlenecks,” said Elad Sity, CEO and Co-founder of NeuroBlade. “We’re delivering a flexible, high-performance analytics solution that’s built for today’s data-driven organizations.”

EC2 F2 + NeuroBlade = Cloud-Native Analytics Acceleration

Organizations can now access NeuroBlade’s analytics acceleration directly within the AWS cloud using EC2 F2 instances or deploy it on-premises via a PCIe accelerator card. This dual delivery model gives customers the flexibility to test, integrate, and scale their analytics platforms in both cloud and hybrid environments—ensuring insights remain close to the data.

Key benefits:

  • Drastically faster query processing

  • Lower total cost of ownership

  • Seamless integration with open-source engines like Presto and Apache Spark

  • Industry-leading query performance per dollar (QpH/$)

  • Available in the cloud or on-prem as a plug-in PCIe card

Flexible Integrations with Presto and Apache Spark

NeuroBlade supports turnkey deployments using Prestissimo (Presto + Velox) and Apache Spark, offering customers a simplified path to benchmark performance with TPC-H, TPC-DS, or their own datasets. These setups make it easy to conduct direct comparisons between accelerated and non-accelerated environments—all within the same cloud infrastructure.

This makes NeuroBlade an ideal choice for enterprises seeking:

  • High-throughput interactive query performance

  • Efficient data lake analytics

  • Accelerated workloads for AI/ML pipeline pre-processing

Empowering the Future of Cloud-Native Analytics

The introduction of NeuroBlade on EC2 F2 instances positions the company at the forefront of next-generation data infrastructure, offering scalable, software-friendly acceleration for big data environments.

For customers ready to boost performance and reduce analytics costs, NeuroBlade provides a future-ready platform that supports modern analytics needs—from enterprise BI and data science to real-time insights and operational intelligence.

Learn more at www.neuroblade.com

Dynabook Unveils Portégé X30W-M: Ultra-Light AI Convertible Laptop for Business and Creative Pros

Dynabook Unveils Portégé X30W-M: Ultra-Light AI Convertible Laptop for Business and Creative Pros

IRVINE, Calif., December 13, 2024Dynabook Americas, Inc., a leader in professional-grade computing, today announced the refreshed Portégé® X30W-M, a 13.3-inch AI-powered 2-in-1 convertible laptop designed to deliver premium performance, portability, and versatility. Weighing less than 1kg and engineered with Intel® Core™ Ultra processors and advanced AI tools like Copilot, the Portégé X30W-M sets a new benchmark for productivity and creativity in business-class 2-in-1 laptops.

With a sleek magnesium alloy chassis, enterprise-grade security, and a vibrant touch display, the Dynabook Portégé X30W-M is the ideal solution for hybrid professionals, creative teams, educators, and executives seeking a flexible Windows 11 device.

“The Portégé X30W-M rounds out our product line with a convertible laptop that adapts to the evolving needs of mobile professionals,” said James Robbins, General Manager, Dynabook Americas. “Whether it’s sketching designs in tablet mode or securely accessing enterprise tools in laptop mode, this device delivers.”

A Lightweight Powerhouse Built for Flexibility

At under 1kg, the Portégé X30W-M blends durability and portability thanks to its MIL-STD-810G-tested magnesium alloy chassis. The convertible form factor supports seamless transitions between laptop and tablet modes, empowering professionals in the field or at the desk.

It features:

  • Intel® Core™ Ultra U- and H-series processors

  • Up to 32GB LPDDR5x memory (6,400 MHz)

  • Up to 2TB SSD storage

  • Corning® Gorilla® Glass-covered 13.3″ touch display

  • Smart stylus support with Windows Ink for natural pen-on-paper writing

AI Tools and Copilot Integration

Designed as a next-gen AI convertible laptop, the Portégé X30W-M comes equipped with built-in AI tools to enhance workflows. The dedicated Copilot key gives users one-touch access to intelligent recommendations and task automation, enabling faster decisions and more efficient work. From AI-enhanced noise cancellation to battery optimization, every interaction is smarter.

Business-Grade Security and Connectivity

With Dynabook’s proprietary BIOS, TPM 2.0, and biometric face and fingerprint login, the Portégé X30W-M is ready for security-first organizations. It also features adapter-free connectivity with:

  • Thunderbolt™ 4

  • USB-A

  • HDMI

  • microSD card reader

Availability and Support

The Dynabook Portégé X30W-M 2-in-1 laptop is available now through Dynabook-authorized partners. Customers can choose from standard EZ Buy SKUs or configure built-to-order models. Select configurations also qualify for Dynabook’s +Care Service® Warranty with On-Site support, offering up to four years of coverage.

Starting price: Under $1,399
Visit us.dynabook.com for details

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