GPU VRAM Estimator • ScopedLabs

Pro Tier

🔒 Locked

This tool is included with Pro access for this category.

What this models

Whether the workload actually requires GPU acceleration at all
VRAM demand from model size, batch size, concurrency, and reserve overhead
Whether VRAM becomes the first scaling wall before the rest of the platform does

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Planning Inputs

GPU Required? Model Size (GB) Batch Size VRAM per Sample (MB) Concurrent Jobs Overhead (%)

GPU VRAM engineering factors

Add capacity, reserve, precision, and sharing assumptions so the GPU estimate behaves like an engineering planning check instead of a simple memory subtotal.

GPU capacity

Installed GPU VRAM (GB) Physical or allocated VRAM available to this workload. Target VRAM utilization (%) Planning ceiling before the workload is treated as capacity-constrained. Display / OS reserve (GB) Reserve for workstation display, OS, driver, or background GPU use.

Workload profile

Precision / quantization Adjusts base model memory when the entered value is not already final. Parallelism mode Controls whether model memory is shared, duplicated, or reduced by splitting. Replica / model copy count Number of loaded model copies, workers, or partitions.

Planning reserves

Growth reserve (%) Allowance for future model, batch, resolution, or concurrency growth. KV / runtime cache reserve (GB) Useful for inference, long-context, or cached runtime workloads. Checkpoint / workspace reserve (GB) Workspace, checkpoint, CUDA graph, or temporary allocation pressure. Failover multiplier Use above 1.0 for N+1, degraded-host, or burst planning. GPU sharing mode Changes capacity-risk guidance and recommendation language.

Recommendation References

Reference markers for the GPU VRAM Capacity Envelope. These explain why the demand point, required status point, and capacity rails matter before continuing to Power & Thermal.

Recommended Actions

Practical validation steps to reduce GPU memory pressure or confirm the selected allocation before downstream Compute planning.

GPU VRAM Decision Schedule

Compact GPU VRAM status, threshold, recommendation, and engineering-note schedule for the active Compute workload.

Export Report

Add optional project context and generate a clean documentation view that can be printed or saved as a PDF for client or internal use.

User Tool Notes

These user-entered report notes save to this Compute tool and can be used as project documentation context.