A16 vs T4
Comparing the A16 and T4 for cloud rental? The A16 is available from 0 providers starting at —, while the T4 starts at — across 0 providers. Below is a live breakdown of pricing, VRAM, compute throughput, and where to rent each GPU.
A16 vs T4 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 T4 specs & pricing
| Specification | A16 | T4 |
|---|---|---|
| Cheapest price | — | — |
| VRAM | 64 GB | 16 GB |
| FP16 TFLOPS | 36 | 65 |
| Memory bandwidth | 928 GB/s | 320 GB/s |
| Release year | 2021 | 2018 |
| Cloud providers | — | — |
Which should you choose?
- •A16 has more VRAM (64 GB), so it fits larger models and bigger batch sizes without sharding.
- •T4 offers higher FP16 throughput, training and serving faster on compute-bound workloads.
Provider availability
Frequently asked questions
How much VRAM do the A16 and T4 have?
The A16 has 64 GB of VRAM and the T4 has 16 GB. More VRAM lets you serve larger models and longer context windows on a single GPU.
Which is faster, the A16 or T4?
On paper the T4 is faster, with 65 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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