Specifications Compared
| Spec | A16 | RTX 6000 Ada |
|---|---|---|
| TDP | 250W | 300W |
| VRAM | 16 GB | 48 GB |
| CUDA Cores | 1,280 | 18,176 |
| FP8 (dense) | Not published | 728.5 TFLOPS |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| FP16 (dense) | 17.9 TFLOPS | 364 TFLOPS |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 35.9 TOPS | 728.5 TOPS |
| Interconnect | PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 40 | 568 |
| FP32 Performance | 4.5 TFLOPS | 91.1 TFLOPS |
| Memory Bandwidth | 200 GB/s | 960 GB/s |
| FP8 (with sparsity) | Not published | 1,457 TFLOPS |
| FP16 (with sparsity) | 35.9 TFLOPS | 728 TFLOPS |
| INT8 (with sparsity) | 71.8 TOPS | 1,457 TOPS |
Performance Analysis
The FP16 dense performance of 17.9 TFLOPS on the A16 stands against 364 TFLOPS on the RTX 6000 Ada and the FP16 with sparsity figures are 35.9 TFLOPS versus 728 TFLOPS. This gap indicates that the RTX 6000 Ada completes matrix operations for training and inference in far fewer cycles when both dense and sparse modes are considered separately. Memory bandwidth of 200 GB/s on the A16 versus 960 GB/s on the RTX 6000 Ada limits batch sizes on the former card because data movement between memory and compute units occurs more slowly and therefore restricts the number of samples processed per step in memory bound phases of a workload.
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.
RTX 6000 Ada
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| QuantaCloud | us-midwest-1 | 4 | $0.78 | $3.11 | Deploy |
| Massed Compute | us-central-2 | 1 | $0.79 | — | Deploy |
| RunPod | global | 1 | $0.84 | — | Deploy |
| VERDA | FIN-HEL | 1 | $1.18 | — | Deploy |
| LeaderGPU | The Netherlands | 8 | $1.20 | $9.60 | Deploy |
6 providers in stock, 14 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts
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When to Choose the A16
The A16 suits inference tasks that fit within 16 GB GDDR6 and require only 17.9 TFLOPS FP16 dense performance. Its 250 W TDP also favors deployments where power draw must remain below the 300 W level of the RTX 6000 Ada while still providing 35.9 TOPS INT8 dense throughput.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada suits training and inference workloads that require 48 GB GDDR6 and 364 TFLOPS FP16 dense performance. Its 960 GB/s bandwidth supports larger batch sizes than the 200 GB/s available on the A16 and its 91.1 TFLOPS FP32 rating accelerates scientific kernels that rely on single precision arithmetic.
Use Cases
The RTX 6000 Ada supplies 48 GB GDDR6 and 364 TFLOPS FP16 dense performance that accommodate large model weights and gradients while the A16 is limited to 16 GB and 17.9 TFLOPS FP16 dense.
The RTX 6000 Ada provides 728 TFLOPS FP16 with sparsity and 960 GB/s bandwidth that sustain high throughput for large batches whereas the A16 offers only 35.9 TFLOPS FP16 with sparsity and 200 GB/s bandwidth.
The RTX 6000 Ada delivers 91.1 TFLOPS FP32 and 48 GB memory that support gradient updates on sizable datasets while the A16 is restricted to 4.5 TFLOPS FP32 and 16 GB memory.
The RTX 6000 Ada supplies 728.5 TFLOPS FP8 dense performance and 48 GB GDDR6 that handle high resolution image generation whereas the A16 lacks published FP8 figures and offers only 16 GB memory.
The RTX 6000 Ada provides 91.1 TFLOPS FP32 and 960 GB/s bandwidth that accelerate numerical simulations while the A16 supplies only 4.5 TFLOPS FP32 and 200 GB/s bandwidth.
Frequently Asked Questions
What is the memory difference between the A16 and the RTX 6000 Ada?▾
The A16 contains 16 GB GDDR6 memory while the RTX 6000 Ada contains 48 GB GDDR6 memory. This fourfold increase in capacity on the RTX 6000 Ada allows larger models to reside entirely on the card without swapping.
How does FP16 performance compare between the two GPUs?▾
The A16 delivers 17.9 TFLOPS FP16 dense and 35.9 TFLOPS FP16 with sparsity. The RTX 6000 Ada delivers 364 TFLOPS FP16 dense and 728 TFLOPS FP16 with sparsity. All comparisons keep dense figures against dense figures and sparse figures against sparse figures.
Which GPU has higher memory bandwidth?▾
The RTX 6000 Ada provides 960 GB/s memory bandwidth while the A16 provides 200 GB/s. The higher bandwidth on the RTX 6000 Ada supports faster data movement during large batch inference and training steps.
What are the TDP values for each card?▾
The A16 has a TDP of 250 W and the RTX 6000 Ada has a TDP of 300 W. Both cards use the PCIe form factor and PCIe 4.0 interconnect.
How do the INT8 figures differ?▾
The A16 supplies 35.9 TOPS INT8 dense and 71.8 TOPS INT8 with sparsity. The RTX 6000 Ada supplies 728.5 TOPS INT8 dense and 1,457 TOPS INT8 with sparsity.
Which is cheaper to rent, the A16 or the RTX 6000 Ada?▾
Cloud rental prices for both the A16 and RTX 6000 Ada 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 RTX 6000 Ada?▾
The A16 has 16 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find A16 and RTX 6000 Ada 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 RTX 6000 Ada?▾
The A16 uses the Ampere architecture (2021) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 20.3x the dense FP16 throughput (364 vs 17.9 TFLOPS, both without sparsity) and 4.8x 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 RTX 6000 Ada. 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 RTX 6000 ADAEvery 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.