AWS i8ge.3xlargevsAWS i8ge.xlarge

i8ge.3xlarge pairs 12 vCPUs with 96GB of RAM at $1.4238/hr On-Demand (about $1025/mo at 24×7). i8ge.xlarge pairs 4 vCPUs with 32GB at $0.4746/hr (~$342/mo). i8ge.xlarge is 67% cheaper per hour than i8ge.3xlarge ($0.9492/hr gap).

Because both instances are in the **i8ge family**, the only thing that changes between them is sizing — same silicon, same architecture (AWS Graviton (ARM64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: i8ge.3xlarge gives you 12 vCPUs and 96GB of RAM, i8ge.xlarge gives you 4 vCPUs and 32GB. AWS scales pricing close to linearly within a family, so picking the right size is mostly about right-sizing your workload, not getting a better deal per vCPU.

On raw price-per-performance, the two are i8ge.xlarge delivers ~200% more single-thread Sysbench score per dollar (2342 vs 7025 points per $1/hr). That's the cleanest signal we have for "which one runs your workload faster per dollar," but it only matters if your workload is single-thread-bound; for parallel workloads the multi-core scores (39849 vs 13167) are what to weigh. Spot pricing flips many of these comparisons — when i8ge.3xlarge drops to $0.2306/hr and i8ge.xlarge drops to $0.1273/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick i8ge.3xlarge when your workload is closer to storage-optimized (NVMe SSD) (I/O-bound work needing low-latency NVMe local storage — NoSQL, search). Pick i8ge.xlarge when it's closer to storage-optimized (NVMe SSD) (I/O-bound work needing low-latency NVMe local storage — NoSQL, search). When neither side is obviously right, the cheaper hourly rate usually wins for fault-tolerant batch workloads, while the higher single-core score usually wins for latency-sensitive web traffic. The regional pricing tables linked from each instance page below show where each is currently cheapest — sometimes a >20% regional gap flips the comparison entirely.