HIGH-PERFORMANCE COMPUTING

Data intensive workloads that scale without limits.

Redundant Web Services (RWS) provides robust and cost-effective infrastructure for data intensive workloads with guaranteed reliability. Process massive datasets, run complex analytics, and power AI/ML pipelines with infrastructure that delivers superior performance at up to 30% lower costs.

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Save up to 30%

vs. other cloud platforms

20% Better Performance

for data workloads

100% Uptime

guaranteed reliability

Why Choose RWS for Data Intensive Workloads.

Making the switch to RWS for your data intensive operations revolutionizes your business performance and bottom line. Our state-of-the-art infrastructure delivers up to 20% better performance than leading competitors, while our 100% uptime guarantee ensures your critical data operations run without interruption. With transparent pricing, you can save up to 30% compared to other providers.

High-performance bare metal & GPU infrastructure
Transparent pricing & 100% uptime guarantee

Deploy Data Infrastructure at Scale

Available Now

From terabytes to petabytes. Process massive datasets with guaranteed performance.

10-100 Gbps

Network Bandwidth

Up to 1TB

RAM per Node

NVMe Storage

Ultra-fast I/O

GPU Accelerated

Optional NVIDIA GPUs

1-10TB

Small Data Workloads

10-100TB

Medium Data Processing

100TB+

Enterprise Scale

Capabilities for the full data lifecycle.

Build with a single platform from data ingestion to processing, analysis, and visualization.

Big Data Processing

Distributed computing with Apache Hadoop, Spark, and Presto for processing petabyte-scale datasets efficiently.

Horizontal scaling across 100+ nodes
Parallel processing frameworks
Cost-optimized batch jobs

Real-Time Analytics

Stream processing and real-time data pipelines with Apache Kafka, Flink, and Storm for instant insights.

Sub-second latency processing
Event streaming at scale
Complex event processing

AI & Machine Learning

GPU-accelerated infrastructure for training deep learning models and running AI workloads at scale.

NVIDIA GPU clusters
Distributed training support
Model serving infrastructure

Infrastructure building blocks optimized for data.

Pick the right foundation for your data-intensive workloads and applications.

Bare Metal Servers

Dedicated high-performance servers with Intel Xeon/AMD EPYC CPUs and up to 1TB RAM for maximum throughput.

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GPU Accelerated Computing

NVIDIA GPU clusters for AI training, deep learning, and accelerated data processing workloads.

View GPU options

High-Speed Storage

NVMe SSD and object storage solutions for data lakes, warehouses, and high-throughput applications.

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RWS data platform modules

Everything you need to build, process, and analyze data at any scale.

Data Ingestion

Ingest data from multiple sources with support for batch, streaming, and API-based ingestion methods.

Data Processing

Distributed processing frameworks including Hadoop MapReduce, Spark, and Presto for ETL workloads.

Data Storage

Scalable storage solutions from high-performance NVMe to cost-effective object storage for data lakes.

Use cases built on RWS.

From AI training to big data analytics, genomics research and beyond.

AI & Machine Learning

Train deep learning models on massive datasets with GPU-accelerated infrastructure and distributed training.

Big Data Analytics

Process and analyze petabyte-scale datasets with Hadoop, Spark, and real-time streaming analytics.

Scientific Computing

Run computational simulations, genomics sequencing, and research workloads with HPC infrastructure.

Ready to scale

Start processing data at scale with RWS.

Get a 30-day trial of the RWS Console and expert consultation to optimize your data infrastructure.