AWS c8id.96xlargevsAWS c8id.xlarge

c8id.96xlarge pairs 384 vCPUs with 768GB of RAM at $21.2890/hr On-Demand (about $15328/mo at 24×7). c8id.xlarge pairs 4 vCPUs with 8GB at $0.2218/hr (~$160/mo). c8id.xlarge is 99% cheaper per hour than c8id.96xlarge ($21.0672/hr gap).

Because both instances are in the **c8id family**, the only thing that changes between them is sizing — same silicon, same architecture (Intel Xeon (x86_64)), same burstable/sustained behavior. The choice is purely about how much capacity you actually need: c8id.96xlarge gives you 384 vCPUs and 768GB of RAM, c8id.xlarge gives you 4 vCPUs and 8GB. 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 pending for c8id.96xlarge and 3360/7067 for c8id.xlarge. 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 c8id.96xlarge when your workload is closer to compute-optimized (CPU-bound work — batch processing, web servers under sustained load, game servers). Pick c8id.xlarge 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.