AWS t3.2xlargevsAWS t3a.2xlarge

t3.2xlarge pairs 8 vCPUs with 32GB of RAM at $0.3328/hr On-Demand (about $240/mo at 24×7). t3a.2xlarge pairs 8 vCPUs with 32GB at $0.3008/hr (~$217/mo). t3a.2xlarge is 10% cheaper per hour than t3.2xlarge ($0.0320/hr gap).

Both are generation-3 burstable general-purpose instances, but they run on different silicon: **t3.2xlarge** is Intel Xeon (x86_64), **t3a.2xlarge** is AMD EPYC (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.

On raw price-per-performance, the two are t3a.2xlarge delivers ~32% more single-thread Sysbench score per dollar (3179 vs 4209 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 (6523 vs 5264) are what to weigh. Spot pricing flips many of these comparisons — when t3.2xlarge drops to $0.0958/hr and t3a.2xlarge drops to $0.1099/hr, the cheap-per-hour winner can swing meaningfully.

In practice, pick t3.2xlarge when your workload is closer to burstable general-purpose (bursty traffic — web apps, dev/test boxes, CI runners, small databases). Pick t3a.2xlarge when it's closer to burstable general-purpose (bursty traffic — web apps, dev/test boxes, CI runners, small databases). 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.