Specifications Compared
| Spec | A16 | A30 |
|---|---|---|
| TDP | 250W | 165W |
| VRAM | 16 GB | 24 GB |
| CUDA Cores | 1,280 | 3,584 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ampere | Ampere |
| FP16 (dense) | 17.9 TFLOPS | 165 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 35.9 TOPS | 330 TOPS |
| Interconnect | PCIe 4.0 | NVLink, PCIe 4.0 |
| Tensor Cores | 40 | 224 |
| FP32 Performance | 4.5 TFLOPS | 10.3 TFLOPS |
| FP64 Performance | Not published | 5.2 TFLOPS |
| Memory Bandwidth | 200 GB/s | 933 GB/s |
| FP16 (with sparsity) | 35.9 TFLOPS | 330 TFLOPS |
| INT8 (with sparsity) | 71.8 TOPS | 661 TOPS |
Performance Analysis
Dense FP16 performance measures 17.9 TFLOPS on the A16 against 165 TFLOPS on the A30. The same ratio holds for sparse FP16 figures of 35.9 TFLOPS versus 330 TFLOPS. Such a gap means the A30 completes matrix operations in training and inference workloads in far fewer cycles when both cards run dense FP16 or sparse FP16 calculations. Memory bandwidth of 200 GB/s on the A16 versus 933 GB/s on the A30 directly limits sustainable batch sizes during large model execution on the A16. INT8 dense throughput of 35.9 TOPS on the A16 versus 330 TOPS on the A30 produces corresponding differences in quantized inference throughput.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
A16
A16 is not offered on-demand by any provider we track right now. See the A16 rental page for last-seen listed prices and a price alert.
A30
A30 is not offered on-demand by any provider we track right now. See the A30 rental page for last-seen listed prices and a price alert.
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When to Choose the A16
The A16 suits deployments that require only 16 GB GDDR6 memory and operate under PCIe interconnect constraints without NVLink. Its 4.5 TFLOPS FP32 rating and 200 GB/s bandwidth match smaller batch inference jobs that do not benefit from the A30 higher figures. The 250W TDP also aligns with systems already provisioned for that power envelope.
When to Choose the A30
The A30 fits workloads that need 24 GB HBM2 memory and 933 GB/s bandwidth to support larger batches. Its 165 TFLOPS dense FP16 rating and 10.3 TFLOPS FP32 rating accelerate both training and inference relative to the A16. NVLink support further enables multi GPU scaling not available on the A16.
Use Cases
The A30 delivers 165 TFLOPS dense FP16 compared with 17.9 TFLOPS on the A16.
The A30 supplies 330 TOPS dense INT8 and 933 GB/s bandwidth versus 35.9 TOPS and 200 GB/s on the A16.
The A30 24 GB HBM2 capacity and 10.3 TFLOPS FP32 exceed the A16 specifications for gradient updates.
The A30 330 TFLOPS sparse FP16 rating supports larger diffusion batches than the A16 35.9 TFLOPS sparse FP16 rating.
The A30 10.3 TFLOPS FP32 and NVLink interconnect surpass the A16 4.5 TFLOPS FP32 and PCIe only configuration.
Frequently Asked Questions
What is the memory bandwidth difference?▾
The A16 reaches 200 GB/s and the A30 reaches 933 GB/s.
Which GPU has higher dense FP16 performance?▾
The A30 reaches 165 TFLOPS dense FP16 while the A16 reaches 17.9 TFLOPS dense FP16.
Do both GPUs support NVLink?▾
Only the A30 lists NVLink support in addition to PCIe 4.0. The A16 lists PCIe 4.0 only.
What are the TDP ratings?▾
The A16 TDP is 250W and the A30 TDP is 165W.
How do the FP32 ratings compare?▾
The A16 provides 4.5 TFLOPS FP32 and the A30 provides 10.3 TFLOPS FP32.
Which is cheaper to rent, the A16 or the A30?▾
Cloud rental prices for both the A16 and A30 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the A16 have compared to the A30?▾
The A16 has 16 GB of GDDR6 memory. The A30 has 24 GB of HBM2 memory.
Can I find A16 and A30 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the A16 and the A30?▾
The A16 uses the Ampere architecture (2021) while the A30 uses Ampere (2021). The A30 delivers 9.2x the dense FP16 throughput (165 vs 17.9 TFLOPS, both without sparsity) and 4.7x the memory bandwidth of the A16.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A16 and the A30. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent A16Every current offer by provider, daily price history and a price alert.
- Rent A30Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.