How to Save 40% on GPU Costs

The Problem with GPU Pricing

GPU cloud pricing is fragmented. The same RTX 4090 can cost $0.30/hr on one provider and $0.50/hr on another — and prices change by the minute.

Most teams pick one provider and stick with it. That's leaving money on the table.

Multi-Provider Comparison

The first step to saving money is knowing your options. Pulserun aggregates real-time pricing from Vast.ai, RunPod, and Lambda into a single dashboard while TensorDock remains deferred pending post-launch stability criteria.

Instead of checking five different websites, you see all available GPUs sorted by price in one view.

Automated Migration

Comparing prices manually is a start, but the real savings come from automation. Pulserun's Autopilot continuously monitors prices and automatically migrates your workload when it finds a cheaper option.

Here's how it works: 1. Your workload runs on the current cheapest instance 2. Pulserun detects a price drop >15% on another provider 3. Your workload is checkpointed and migrated automatically 4. You resume on the cheaper instance with zero downtime

Real Results

Our early users report 25-40% savings on their monthly GPU bills. That's thousands of dollars for teams running training jobs or inference endpoints around the clock.

Getting Started

Sign up for a free Pulserun account, add your provider API keys, and launch your first instance. Autopilot does the rest.