How it Works
Shoreline for GPUs activates, debugs, and remediates GPUs across public clouds, private clouds, and virtual and physical hardware. Learn more
- Accelerate day 1Speed up capacity verification for new GPUs
- Bring up each GPU quickly with minimal manual effort using automations that perform single-node validation, diagnostics, point-to-point verification, and performance and stress tests.
- Proactive day 2 repairsRepair faster with automated break/fix workflows
- Avoid lengthy debugging cycles and outages with automated break/fix workflows. Use remediation actions including cordoning, draining, and restarting impaired nodes to keep GPUs running.
- Reduce GPU expenses with monitoring and issue detection
- Ensure all of your expensive GPU resources are operating at peak capacity with system-wide monitoring for availability, degradation, or breakage.
- Drive up throughput for training workloads
- Ensure every node is at full operational capability during training workloads that require significant resources. Rightsize GPU jobs, detect laggard nodes, and automate diagnosis & repair.
- Drive down latency for inference workloads
- Reduce slow-downs and non-responses during inference workloads by right sizing, scaling, scheduling and sharing resources with Shoreline tooling.
Why Shoreline.io
Shoreline, a leader in reliability for production operations, offers software-defined operations solutions to a range of customers, from startups to the largest companies in the world.
Shoreline for GPUs
Maximum GPU Utilization
Shoreline.io connects to your GPU infrastructure and control plane as a single access point and real-time view of production systems. Permissioned users have performance visibility, cost analysis, single-touch hardware bring ups and no-code remediations with secure, audited access.
- GPU monitoring & observability
- — Each node needs to operate at peak performance for training and lighting-fast inference. Shoreline monitors across Kubernetes, bare metal and Slurm AI clusters whether on prem or in any cloud, allowing you to quickly pinpoint GPU breakage or degradation.
- GPU cost management
- — Shoreline reduces operational costs and creates a more sustainable fleet. Our solution offers rapid bring-ups, prewarming strategies and sleep modes for enhanced resource efficiency and flexible capacity adjustments with scaling inference capacity to align with demand fluctuations.
- GPU resource fleet management
- — Shoreline scales seamlessly from a few nodes to thousands, ensuring consistent performance regardless of your infrastructure's size. With real-time distributed execution and a GitOps-managed runbook library, our solution optimizes operational efficiency and simplifies the management of complex systems, making it the ideal choice for businesses aiming for high scalability and reliability.
- Production access control
- — With Shoreline, your GPU infrastructure becomes a secure and auditable environment, with role-based access control to only specific actions without needing to provide SSH or sudo to your operators. All access is secure and audited.