AWS m6gd.16xlargevsAWS m6gd.metal

m6gd.16xlarge pairs 64 vCPUs with 256GB of RAM at $2.8928/hr On-Demand (about $2083/mo at 24×7). m6gd.metal pairs 64 vCPUs with 256GB at $2.8928/hr (~$2083/mo). Both are priced identically per hour on-demand.

m6gd.16xlarge (general-purpose, AWS Graviton (ARM64)) and m6gd.metal (general-purpose, AWS Graviton (ARM64)) target different workload shapes. The vCPU:RAM ratios are different (64:256 vs 64:256), and depending on the architectures involved you may also see meaningful single-thread performance and per-hour-cost differences. This kind of cross-category comparison is most useful when you're early in the design phase and not yet sure whether your workload is CPU-bound, memory-bound, or balanced — once that's clear, the right pick is usually obvious.

On raw price-per-performance, the two are roughly tied on single-thread performance per dollar (972 vs 972 Sysbench 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 (179060 vs 179415) are what to weigh. Spot pricing flips many of these comparisons — when m6gd.16xlarge drops to $0.8561/hr and m6gd.metal drops to $0.5685/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick m6gd.16xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m6gd.metal when it's closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). 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.