NeuroBlade’s Xiphos

Extreme Performance for Data Analytics Workloads.

System Architecture Reimagined. In Every Way.

NeuroBlade’s Xiphos overcomes the problem of slow data analytics due to I/O bottlenecks and system bandwidth limitations. NeuroBlade’s Xiphos offers scalability while increasing computational efficiency by eliminating unnecessary data movements.

Data Analytics Processing Takes Too Long

The amount of information we generate daily has been growing exponentially. The problem this presents is the growing gap between data volume and the ability to process it. The time it takes for businesses to process data continues to grow, as does the time to react to data insights.

The problem stems from the existing memory-to-compute bottleneck, where data analytics performance is limited by data movement. With more data being generated, existing solutions are not sustainable.

System Scaling On Its Own Does Not Solve The Problem

  • Performance is bounded

  • Diminishing return on Total Cost of Ownership

NeuroBlade’s Xiphos Reinvents how Large Data Volumes are Processed

Introducing NeuroBlade’s Xiphos:

First Of Its Kind Data-Driven Architecture

NeuroBlade’s Xiphos accelerates data analytics by completely redesigning the system architecture. Coupled with a first-of-its-kind true Computational Memory, the Xiphos unclogs traditional bottlenecks.

Faster Results

Parallel and programmable, optimized for accelerated data analytics

XRAM™ Computational Memory

TBs of memory bandwidth coupled with compute

Scalable Solution

Flexible and efficient scaling
of compute and memory

First Of Its Kind Data-Driven Architecture

Inside the Xiphos:

The Intensive Memory Processing Unit

The Xiphos appliance is built around the Intense Memory Processing Unit (IMPU™). Each IMPU™ contains thousands of parallel processors. The IMPU™ is the evolution of data-intensive workload processing, enabling companies to get more out of their data, faster.

NeuroBlade’s IMPU™ acts as an accelerator for data querying, introducing a new level of efficiency. The IMPU™ performance is rooted in a unique computational memory coupled by a wide I/O bus architecture, enabling fast direct access to local memory and high-bandwidth scalability.

Key Features

Blazing Fast

Up to x100 performance increase

Reduced Total Cost of Ownership

Leap-frog in performance/$ and
energy consumption metrics

Simple Integration

Seamlessly integrates with existing

Deployment Flexibility

From local on-premises deployment to distributed cloud environment

Robust Toolset

Integrated real-time software for monitoring, management, and programming


Comprehensive software suite, boosting performance and usability

NeuroBlade’s Insights™ Data Analytics Software Suite

The Insights™ Data Analytics software suite provides all the software needed to support high-performance data analytics on Xiphos hardware and to seamlessly integrate with the existing ecosystem.

NeuroBlade’s Insights™ Data Analytics Software Suite


A Software toolset that includes a full development stack for compiling, debugging, monitoring and profiling of Xiphos code for performance optimization.

Performance Profiler

Real-time web-based GUI designed to monitor performance by measuring multiple program characteristics, collecting data statistics, and generating a report to aid program optimization.

Insights™ API

A comprehensive software suite for the Xiphos appliance. Running on top of the runtime Run-Time Environment, offering an optimal API layer for serving 3rd party applications, and NeuroBlade’s Web Client.

Query Compiler & RTE

Responsible for generating query execution plans and interpretation by the runtime environment. Optimizing workload split between Xiphos hardware resources, XRAMs, and on-host execution.

Data I/O

The Xiphos continuously runs an ETL process to populate and update its local storage devices while tracking the appliance storage structure.

Organizations run at the speed of their data. NeuroBlade is here to alter the pace of the race.

Now sampling the Xiphos appliance with select customers.

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