g4ad.xlargeAWS Pricing, Specs & Benchmarks

The g4ad family is a generation-4 GPU-accelerated (graphics + ML inference) line running on AMD EPYC (x86_64) — typically ~10% cheaper than the Intel sibling at comparable single-thread performance. g4ad.xlarge provides 4 vCPUs and 16GB of RAM (a 1:4 vCPU-to-memory ratio), priced at $0.3785/hr On-Demand — about $272.54 per month at 24×7 utilization.

GPU-accelerated (graphics + ML inference) instances are sized for remote workstations, game streaming, ML inference, video transcoding, and graphics-heavy rendering pipelines. If your workload doesn't match that profile — for example, if you're running a memory-bound app on a compute-optimized instance, or a CPU-pegged batch job on a burstable t-series — you'll likely pay for capacity you can't use or run into bottlenecks you didn't anticipate. The pages for sibling families (linked further down) cover those alternatives in detail.

In the AWS instance-naming convention, the digit after the series letter is the generation — higher is newer. This appears to be one of AWS's newer generations in the series, so for most fresh workloads it's a reasonable default within its category. The family suffix tells you about hardware variants: "d" = local NVMe instance-store volumes (lost when the instance stops).

Pricing varies by region (sometimes meaningfully — the gap between the cheapest and most expensive AWS region for the same SKU is often 15–30%). The regional pricing table further down shows where g4ad.xlarge is cheapest today, both On-Demand and Spot. Spot pricing for g4ad.xlarge is currently $0.1187/hr — roughly 69% off On-Demand — which makes the instance viable for fault-tolerant batch jobs, CI fleets, and any workload that can tolerate interruption with short notice.