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Big Data Analytics Cluster

Triton Big Data Cluster

Avoid Storage Bottlenecks and Improve Analytics

Don’t Let Legacy Storage Stop You from Delivering Results

Workloads that extract value from massive data sets with accelerated computing (HPC or AI/ML), while highly desirable, can suffer from computing bottlenecks and poor performance. And, even if you deploy all flash, using DAS and NAS can mean additional challenges. The Triton Big Data Cluster removes bottlenecks via a shared pool of NVMe over fabric (NVMeOF) that enables jobs to run up to 10x faster. And S3-compliant storage allows you to control costs.

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Ideal Use Cases

  • Business Intelligence
  • Real-time HPC Analytics
  • ML Training
  • Predictive Analytics
  • Data Visualization

Relevant Industries

  • Oil & Gas
  • Financial Services
  • Life Sciences
  • Media & Entertainment
  • Aerospace & Defense

Relevant Industries

Combining Powerful Compute with Optimized Storage and Networking

  • Software-defined architecture based on massively scalable, parallel Weka file system (WekaFS) (via NVMe-over-fabric)
  • Optional S3 Compliant Tier
  • Scale-up and Scale-out with simple, pre-defined storage building blocks (6+ server configuration)
  • Ideal for HPC with large datasets or for AI training (which requires large datasets)
  • Storage in new enterprise & data center SSD form factor (EDSFF)
  • AMD EPYC-based, with PCIe 4 support

Inside the Triton Big Data Cluster


AMD EPYC Processors


NVIDIA Networking Ethernet and Infiniband


425TB of Capacity per Node

Software-defined storage using Weka.io file system (WekaFS), optimized for large datasets

High-speed, low-latency NVIDIA adapters

About Weka Software-Defined-Storage

Weka.io’s key offering, WekaFS, is an alternative GPFS, IBM Spectrum Scale or Lustre. Because legacy storage designs forced customers to deploy different architectures to satisfy the needs of different workloads, WekaFS was built from the ground up to address the diverse requirements of modern workloads. This technology enables clients to pool all their data and manage it through a global namespace. With dramatically simplified administration of storage, Triton Big Data Cluster users can easily access and manage data at scale and deliver better outcomes.

Are you trying to remove storage bottlenecks in your accelerated workloads?

Speak to an Engineer
We build each of our systems to “zero defect” standards in our U.S.-based manufacturing facilities. Then we hand-inspect every order, testing them to ensure they are 100% operational and optimized to support rapid deployment. What kind of testing? We use a suite of automated tools that simulate real world operations (including convenience and update utilities) and stress tests to validate system functionality. And, because we’re ISO 9001 certified and we’ve been in your shoes, we document the heck out of it so you can easily replicate hardware settings, firmware updates, and software versioning. Standardized installs of new systems mean efficient system deployment. We like that. We think you will too.
We offer a comprehensive 3-year warranty standard, with every system purchased. But you can add extended or custom warranties if your situation calls for it. We know you are literally curing cancer, finding water on Mars, designing airplanes that will carry thousands of people, and ensuring we have live, on-screen data about opposing players during a critical game. We don’t want you to stop working any more than you do.
We offer customer support at different levels, each based on a detailed service level agreement (SLA) that fits your needs. And, with each one, you get the added benefit of knowing that the people who take your call are in-house Silicon Mechanics’ staff whose sole focus is customer support. When we say “Expert Included,” we mean it.

Expert Included

Our engineers are not only experts in traditional HPC and AI technologies, we also routinely build complex rack-scale solutions with today's newest innovations so that we can design and build the best solution for your unique needs.

Talk to an engineer and see how we can help solve your computing challenges today.