AWS m8id.48xlargevsAWS m8idn.4xlarge

m8id.48xlarge pairs 192 vCPUs with 768GB of RAM at $12.5299/hr On-Demand (about $9022/mo at 24×7). m8idn.4xlarge pairs 16 vCPUs with 64GB at $1.5275/hr (~$1100/mo). m8idn.4xlarge is 88% cheaper per hour than m8id.48xlarge ($11.0024/hr gap).

Both are generation-8 general-purpose instances, but they run on different silicon: **m8id.48xlarge** is Intel Xeon (x86_64), **m8idn.4xlarge** is Intel Xeon (x86_64). AMD variants (suffix `a`) are typically 10% cheaper than Intel siblings at comparable single-thread performance. Graviton variants (suffix `g`) are usually 20–40% cheaper but require ARM64-compatible binaries — most modern Linux stacks are fine, but verify any compiled extensions, native modules, or third-party binaries before migrating. Same vCPU/RAM ratio, same network performance class, different processor.

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 pending for m8id.48xlarge and 3359/28227 for m8idn.4xlarge. 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 m8id.48xlarge when your workload is closer to general-purpose (balanced general-purpose workloads with a 1:4 vCPU-to-memory ratio). Pick m8idn.4xlarge 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.