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WEKA on Google Cloud

The most scalable high-performance file system in the cloud

Accelerate your workloads on GCP

Run high-performance applications on GCP

Deliver unbeatable performance for your most demanding applications running in Google Cloud, supporting high I/O, low latency, small files, and mixed workloads with zero tuning.

Migrate your demanding applications to GCP

Send snapshots of your WEKA filesystem to any Google Cloud Storage object store for backup and disaster recovery. Full and incremental snapshots include metadata to enable seamless data portability between on-prem and Google Cloud.

Accelerate Hybrid Cloud Workflows with GCP

Maintain a usable copy of your on-premises data in your GCP environment, where you can use elastic compute resources to run calculations and analyses and gain new insights. Use easy, low-impact data portability to enable backup and disaster recovery to the cloud, cloud bursting, cloud archival.

Collaborate faster on Google Cloud

Your researchers, data scientists, creative teams, or other knowledge workers can collaborate faster by using a single copy of data optimized to meet the performance needs of every step in your workflow.

Optimize Utilization of Compute-intensive GCE Machines

Run your applications at faster speeds and improve the utilization of expensive compute resources by making sure they are never waiting on the storage infrastructure to deliver the data they need.

How it works

Google Compute Engine

You can deploy WEKA software on a cluster of Google Compute Engine (GCE) C2 machines with local SSD to create a high-performance storage layer. The WEKA software can then extend the single namespace to a Google Cloud Storage bucket for capacity storage at the lowest cost. You can automate your WEKA deployment through HashiCorp Terraform templates for fast easy installation. Your WEKA environment is built within a managed instance group for autoscaling the cluster. You can easily scale the WEKA namespace up to support Exabytes of capacity or millions of IOPs of storage performance, and scale back down when capacity or performance is not needed. Data stored with your WEKA environment is accessible to applications in your environment through multiple protocols, including NFS, SMB, POSIX, NVDIA GPUDirect, and S3.

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