B300 vs A16
Comparing the B300 and A16 for cloud rental? The B300 is available from 0 providers starting at —, while the A16 starts at — across 0 providers. Below is a live breakdown of pricing, VRAM, compute throughput, and where to rent each GPU.
B300 vs A16 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.
B300 vs A16 specs & pricing
| Specification | B300 | A16 |
|---|---|---|
| Cheapest price | — | — |
| VRAM | 288 GB | 64 GB |
| FP16 TFLOPS | 1100 | 36 |
| Memory bandwidth | 8000 GB/s | 928 GB/s |
| Release year | 2025 | 2021 |
| Cloud providers | — | — |
Which should you choose?
- •B300 has more VRAM (288 GB), so it fits larger models and bigger batch sizes without sharding.
- •B300 offers higher FP16 throughput, training and serving faster on compute-bound workloads.
Provider availability
Frequently asked questions
How much VRAM do the B300 and A16 have?
The B300 has 288 GB of VRAM and the A16 has 64 GB. More VRAM lets you serve larger models and longer context windows on a single GPU.
Which is faster, the B300 or A16?
On paper the B300 is faster, with 1100 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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