Get More From Accelerated Infrastructure on Google Cloud

High-performance storage that keeps pace with demanding workloads as your Google Cloud infrastructure scales.

Meet WEKA NeuralMesh Contact Sales

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Zoom out: See the features and benefits of running WEKA in the public cloud, across all providers

WEKA on Public Cloud

USE CASES

Put Your Google Cloud Compute to Work

Give demanding workloads the storage performance they need across HPC, AI training, and emerging AI infrastructure.

HPC & Accelerated Computing
Support highly parallel workloads with performance that holds across throughput, IOPS, metadata, and small files.
AI Training
Keep training, fine-tuning, and checkpointing moving as GPU environments and datasets grow.
AI Inference
Keep models, data, and context available as concurrency and inference workloads grow.

FEATURES

Built for the Google Cloud Infrastructure You Use

Combine WEKA® NeuralMesh™ with Google Cloud compute, object storage, Kubernetes, and automation to build storage around your workloads.

Put High-Performance Storage Close to Compute

NeuralMesh runs on supported Google Compute Engine instances, using local NVMe to create a high-performance storage cluster for demanding workloads. Scale performance and capacity with the cluster, giving HPC and AI applications fast access to data as compute environments grow.