AWS m7a.8xlargevsAWS m7a.metal-48xl

m7a.8xlarge pairs 32 vCPUs with 128GB of RAM at $1.8547/hr On-Demand (about $1335/mo at 24×7). m7a.metal-48xl pairs 192 vCPUs with 768GB at $11.1283/hr (~$8012/mo). m7a.8xlarge is 500% cheaper per hour than m7a.metal-48xl ($9.2736/hr gap).

Because both instances are in the **m7a family**, the only thing that changes between them is sizing — same silicon, same architecture (AMD EPYC (x86_64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: m7a.8xlarge gives you 32 vCPUs and 128GB of RAM, m7a.metal-48xl gives you 192 vCPUs and 768GB. 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.

Benchmark data for at least one of these instances is still being collected, so a direct performance-per-dollar comparison isn't possible yet. Sysbench scores are 4317/133031 for m7a.8xlarge and pending for m7a.metal-48xl. Check back as the benchmark queue completes — newer-generation instances typically score 10–30% higher on single-thread and 15–50% higher on multi-core vs the previous generation in the same series.

In practice, pick m7a.8xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m7a.metal-48xl 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.