Cutting-edge performance for bleeding-edge workflows
ĢTV’s high-performance file storage delivers the elasticity and power to support your most demanding cloud-based workflows, anywhere and everywhere
Disruptive technology at a disruptive price
In less than 15 minutes, ĢTV’s platform-agnostic, disaggregated architecture can give you the scale and performance flexibility that your most demanding workflows need, at a lower price point than any other cloud file service.
Flexible storage
- Deploy ĢTV on-prem using your preferred hardware.
- Use ĢTV on AWS or Azure for your biggest workloads.
- Exabyte-plus scalability in any local or cloud-based storage instance.
Elastic performance
- Scale on-prem capacity and performance simply by adding more nodes.
- Burstable performance for peak processing demands.
- Elastically scale throughput to 100GBps+ on any cloud instance.
- Elastically scale to 1M+ IOPS per instance in the cloud.
Unified data
- ĢTV Global Namespace presents a unified data plane across all ĢTV instances in all locations.
- Unique caching architecture enables low-latency access to remote data.
- Intelligent prefetch algorithm prestages data to the appropriate location before it’s needed.
The fastest file service in any cloud at a fraction of the cost
Cutting-edge performance for bleeding-edge workflows
ĢTV’s high-performance file storage delivers the elasticity and power to support your most demanding cloud-based workflows, anywhere and everywhere
Full integration with cloud AI
Azure Native ĢTV and Microsoft Copilot
Did you know that Microsoft Copilot can connect directly to Azure Native ĢTV to read and analyze your Office files, PDF files, text files, and more? With ĢTV’s custom connectors, you can use Copilot to gain new intelligence and insight into virtually any type of unstructured data in your Azure Native ĢTV environment.
“Our UC San Diego customers require… up to 200 Gbps of provisioned performance. The Data Science Machine Learning Platform runs on ĢTV, where thousands of students execute performance-sensitive AI workloads concurrently. These students require optimal configurations to ensure efficiency when running GPUs over thousands of NFS connections.”
Brian Balderston
Director of Infrastructure, San Diego Supercomputer Center
High-performance data access for your most demanding workflows
Whether on-prem, on AWS, or on Azure, ĢTV delivers the exabyte-scale capacity and dynamically scalable performance to power your high-performance compute applications in the data center and in the cloud