A16 vs MI300X
Comparing the A16 and MI300X for cloud rental? The A16 is available from 0 providers starting at —, while the MI300X starts at — across 0 providers. Below is a live breakdown of pricing, VRAM, compute throughput, and where to rent each GPU.
A16 vs MI300X at a glance
Spec profile
Each axis is scaled to the stronger GPU — the outer edge is better.
Value for money
Live pricing for both GPUs is needed to compute value-for-money metrics. See the provider tables below for current rates.
Specs are manufacturer peak FP16 Tensor figures; real-world throughput varies by workload, precision, and software stack.
A16 vs MI300X specs & pricing
| Specification | A16 | MI300X |
|---|---|---|
| Cheapest price | — | — |
| VRAM | 64 GB | 192 GB |
| FP16 TFLOPS | 36 | 1307 |
| Memory bandwidth | 928 GB/s | 5300 GB/s |
| Release year | 2021 | 2024 |
| Cloud providers | — | — |
Which should you choose?
- •MI300X has more VRAM (192 GB), so it fits larger models and bigger batch sizes without sharding.
- •MI300X offers higher FP16 throughput, training and serving faster on compute-bound workloads.
Provider availability
Frequently asked questions
How much VRAM do the A16 and MI300X have?
The A16 has 64 GB of VRAM and the MI300X has 192 GB. More VRAM lets you serve larger models and longer context windows on a single GPU.
Which is faster, the A16 or MI300X?
On paper the MI300X is faster, with 1307 FP16 TFLOPS versus 36. Real-world speed also depends on memory bandwidth and software stack.
Live prices come from public provider catalogs and can change quickly. How we collect prices.
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