Blog

Physical Observability: The Missing Command Center for Physical AI

AI can now interpret video, telemetry, environmental data, and geospatial context. The question is: do you have the live command center to see and monitor it all?

What Is A GPU Spreadsheet? A Complete Guide

A GPU spreadsheet uses the graphics processor to calculate faster at larger scale. See how it works, how it compares to a Python spreadsheet, and examples.

Power Grid Operations: Crisis to Solution in Seconds

Utility grid crises can escalate in seconds, or minutes. Row64 gives operators a unified view of all critical data and the ability to act on it quickly, without switching between tools.

Row64 and Carahsoft Partner to Deliver Real-Time 
Operational Intelligence to the Public Sector

GPU-Accelerated Platform Delivers Unified Situational Awareness and 
Informed Decision-Making Across Critical Government Operations

Closing the Detection Gap in Circular Supply Chains

Most supply chains run on the same systems – ERP, TMS, WMS – which don't communicate in real time. That gap is quietly eroding margins across procurement, transportation, and fulfillment.

LiDAR Data Is Everywhere. Closing the Detection Gap Is the Real Challenge.

LiDAR sensors are now more accessible, but is software able to process the dense mapping data fast enough to make it operationally useful? This post takes a look.

Row64 and Northern Lights Announce Strategic Partnership

New Partnership to Deliver Real-Time Operational Intelligence at Mission-Critical Speed.

What Is Operational Intelligence and Is It Right for Your Business?

From Reactive to Real-Time: How Operational Intelligence Is Transforming Warehouse Operations

Fleet Management: How Operational Intelligence Avoids Vehicle Downtime

Fleet management teams still struggle to see what’s happening in the moment, or act on it instantly. That's where Row64 can help.

The Enemies of Performance

The increasing volume of data and advancements in computer hardware have created a significant challenge for businesses: processing and visualizing data efficiently. Despite the availability of powerful hardware, conventional dashboards often experience bottlenecks and slowdowns under high pressure. This is largely due to inefficient code and legacy architectures in visualization platforms. The era of relying solely on hardware improvements for speed gains is limited, as software inefficiencies can negate these benefits. Modern software development often prioritizes hardware improvements over performance coding, leading to missed opportunities for optimization. Legacy database code, developed for older hardware, struggles to integrate new performance technologies, making it difficult to achieve perfect optimization. Row64, a real-time visual business intelligence platform, addresses these challenges by employing modern performance principles and leveraging high-performance hardware. Its founding team, with a background in game technology, prioritizes performance and takes advantage of chip advancements to achieve high frame rates. Row64's custom stack, built from the ground up for maximum speed and scalability, taps into the full potential of modern hardware. The company has identified four major enemies of performance in streaming and dashboard software: memory allocation, cache misses, ignoring hardware, and garbage collection. Memory allocation is slow, and repeated requests and releases of memory incur a time penalty. Cache misses occur when the CPU requests data not present in cache, leading to slower searches through the memory hierarchy. Ignoring hardware opportunities, such as parallelization, GPU utilization, and caching optimizations, can also hinder performance. Garbage collection, while convenient, can introduce performance penalties and memory fragmentation. To combat these enemies, Row64 employs a unified memory approach, where data is vertically integrated, centralized, contiguous, and hardware-driven. Its vertically-integrated stack components share the same memory layout, reducing the need for copies and unnecessary memory allocation. Row64's data format, ByteStream, is optimized for contiguous memory, minimizing cache misses. The platform also utilizes a RAM database, RamDB, designed for high-speed data access and manipulation. Row64's Hybrid Engine adapts to underlying hardware, using optimal resources and providing a direct connection to the hardware. The platform is highly threaded and parallelized on both CPU and GPU, utilizing all available cores and parallelizing network communications and requests. By addressing the challenges of data processing and visualization, Row64 aims to elevate the standards for a new generation of dashboards and data visualization. Its design allows for high-speed data visualization, live streaming updates, and multi-tenancy, making it well-positioned to meet the growing demands of the industry.

How Real-Time Operational Intelligence Can Improve AI Observability and Cut Costs

AI failures happen in ways that traditional tools miss, requiring a new approach to observability and governance. Row64 provides real-time, full-fidelity visibility into AI systems by streaming and visualizing every prompt, tool call, and inference as it happens. That means teams can detect anomalies instantly, control costs, and keep humans involved before small issues become big problems.

Maximizing Retail Performance with Real-Time Operational Intelligence

Row64’s real-time platform gives retailers a live operational intelligence hub showing SKU trends, floor layout performance, inventory, and promotions, so decisions happen as events unfold.

How Row64 Aids Fraud Prevention

This new video shows the use of Row64's real-time operational intelligence platform in fraud detection, helping teams spot threats the moment they appear.

Row64 v3.5 Is Here!

Row64 unveils version 3.5 of its real-time operational intelligence platform with enhanced Features and performance

Announcing our $4M Seed Funding Round

Row64, a pioneering enterprise software company, has raised a $4 million seed round led by Galaxy Interactive, with participation from Alumni Ventures and Differential Ventures. This significant milestone validates Row64's mission to empower businesses to make decisions with clarity and confidence in today's fast-paced, data-driven world. Founded to address the limitations of legacy business intelligence systems, Row64 has developed a real-time visual intelligence platform that enables enterprises to interact with and analyze massive datasets instantly.

Version 3.4 Highlights

A new software platform has been developed that enables users to work with vast amounts of data, including up to 1 billion records, in real-time. Key features include: Next-generation visual analytics capabilities, including automatic cross-filtering and support for complex data types such as images and text, Advanced geo-analysis tools and real-time data connections, Scalability, with a single instance server costing under $5,000, Simplified toolchain for data ingestion, analysis, and visualization, Compliance and security features, including HTTPS and fine-grain user roles and permissions, Accessibility for technical and non-technical users through a purpose-built IDE and Excel formulas, Robust API for multi-model input and AI automation, Cross-platform compatibility, including mobile and tablet support. This platform aims to revolutionize data application creation, debugging, and deployment by making it easy to work with large data sets and by providing a range of tools and features to support complex data analysis and visualization.

Data Center CPU Trends

As the artificial intelligence (AI) sector experiences rapid growth, the spotlight on data center hardware has largely been on Graphics Processing Units (GPUs). However, a closer examination reveals several significant trends with Central Processing Units (CPUs) that will fundamentally impact how software applications are created and deployed. A new video delves into these trends, shedding light on their potential implications for the development and rollout of software applications.

Integrated GPUs and the Rise of the GPU Dashboard

WebGL, has enabled high-quality graphics rendering and interaction in web browsers without plugins. WebGL 2.0, integrated GPUs, and browser updates have unleashed unprecedented browser-based visual quality and performance. This enables data exploration, visual analysis, and real-time tracking across various domains, making it accessible to diverse audiences.

GPU Selection is Revolutionizing Dashboards

Row64's real-time visual analytics enables companies to efficiently analyze large data sets, allowing users to drill down to record-level detail instantly. This eliminates the need for manual summarization or program integration, saving time and resources. The company demonstrates this capability with use cases in power grid management, demographic research, and organizational chart analysis, showcasing the vast potential of real-time data for businesses.

Unveiling The Future of Geospatial Dashboards

Geospatial analysis, a key component of data science, is expected to grow 17.7% by 2027. However, challenges persist: it's a complex skill to master, software struggles with large datasets and diverse data types. Our innovative, browser-based dashboard solves these issues, featuring: real-time cross-filtering, dynamic record inspection, and time-lapse animation capabilities.