AWS c8a.12xlargevsAWS c8g.12xlarge
c8a.12xlarge
c8g.12xlarge
c8a.12xlarge vs c8g.12xlarge: how to choose
c8a.12xlarge pairs 48 vCPUs with 96GB of RAM at $2.5865/hr On-Demand (about $1862/mo at 24×7). c8g.12xlarge pairs 48 vCPUs with 96GB at $1.9142/hr (~$1378/mo). c8g.12xlarge is 26% cheaper per hour than c8a.12xlarge ($0.6722/hr gap).
Both are generation-8 compute-optimized instances, but they run on different silicon: **c8a.12xlarge** is AMD EPYC (x86_64), **c8g.12xlarge** is AWS Graviton (ARM64). 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 c8a.12xlarge delivers ~24% more single-thread Sysbench score per dollar (2161 vs 1741 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 (263811 vs 159668) are what to weigh. Spot pricing flips many of these comparisons — when c8a.12xlarge drops to $1.0329/hr and c8g.12xlarge drops to $0.5206/hr, the cheap-per-hour winner can swing meaningfully.
In practice, pick c8a.12xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c8g.12xlarge when it's closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). 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.
On-Demand Price Comparison
Monthly trajectory
Spot Price Comparison
30-Day daily trajectory