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No Latency. No Limits.

Unlike fragmented stacks, Row64's components share one format. There's no overhead from transforming or copying data between layers — which is why it runs up to 100x faster on high-volume workloads.

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The image displays a diagram of a computer's internal components, including a CPU, GPU, and VRM. The diagram is labeled with the specifications of each component, such as the GPU's clock speed and the VRM's power rating. The diagram is presented in a clean and organized manner, making it easy to understand the intricate details of the computer's

100x Faster Than Existing Systems

Row64 eliminates platform-induced latency from data ingestion through computation to visualization. Speed never degrades as data volume increases.

Parallel Processing

Every computation runs on its own dedicated thread simultaneously, so whether multiple users, panes, or computations, there is never any waiting.

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GPU-Accelerated Compute

Compute resources are dynamically load-balanced across CPU and GPU, so the full power of your hardware is always working for your operators, not sitting idle.

A blue and white image displaying four different types of computers, each with a unique name. The first computer is labeled as a 'GPU Computer,' the second as a 'Multi-Core Computer,' the third as a 'Multi-Tenancy Computer,' and the fourth as a 'Core Computer.' Each computer is represented by a series of small icons, with the icons arranged in a vis

Contiguous Memory

Row64 stores data in a contiguous open bytestream format, so reads stay cache-friendly and throughput stays predictable as data volume grows.

A computer screen displaying a diagram of a computer's memory, including the CPU, RAM, and SSD. The image is labeled 'Contiguous Memory.'

Fast Unstructured Data Processing

Text, paragraph, and unstructured content — historically the biggest bottleneck in operational dashboards — are automatically threaded and optimized. No configuration required.

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Additional Optimizations

Hybrid Engine

Intelligently routes compute across CPU and GPU based on workload type — so every operation runs at peak efficiency.

A diagram illustrating the components of a Hybrid Engine.

Threaded Compression

Compresses data across multiple processors simultaneously, accelerating transfer without sacrificing fidelity.

A graph displaying the performance of a computer system with a row of six different colored bars. The bars are labeled with the numbers 0, 64, 128, 256, 512, and 1024.

Zero Copy Communications

Data moves between components by reference rather than being copied, decreasing latency on high-volume workloads.

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Caching Strategies

Contiguous memory, by design. When data sits adjacent in RAM, the prefetcher pulls the next block before the CPU asks — spatial locality that keeps cache hits high and stalls low

Caching Strategies diagram

Technology Partners

We're proud to collaborate with some of the biggest and best players in the game. Here are a few of the companies we work with.