GPU comparison

A16 vs RTX 4080

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 34 days ago

The RTX 4080 wins for the most common use case of mixed precision training and inference. Its dense FP16 performance of 97.5 TFLOPS and memory bandwidth of 717 GB/s exceed the A16 figures by substantial margins while both cards share 16 GB memory capacity.

A16 listed from $0.06/GPU/hrRTX 4080 listed from $0.50/GPU/hr

Specifications Compared

SpecA16RTX 4080
TDP250W320W
VRAM16 GB16 GB
CUDA Cores1,2809,728
FP8 (dense)Not published194.9 TFLOPS
Memory TypeGDDR6GDDR6X
ArchitectureAmpereAda Lovelace
FP16 (dense)17.9 TFLOPS97.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)35.9 TOPS389.9 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores40304
FP32 Performance4.5 TFLOPS48.7 TFLOPS
Memory Bandwidth200 GB/s717 GB/s
FP8 (with sparsity)Not published389.8 TFLOPS
FP16 (with sparsity)35.9 TFLOPS195 TFLOPS
INT8 (with sparsity)71.8 TOPS779.8 TOPS

Performance Analysis

The FP16 dense figure of 17.9 TFLOPS on the A16 versus 97.5 TFLOPS on the RTX 4080 indicates that the RTX 4080 completes dense FP16 operations more than five times faster for training and inference steps. The FP16 with sparsity figure of 35.9 TFLOPS on the A16 versus 195 TFLOPS on the RTX 4080 maintains the same ratio when sparsity is applied. Memory bandwidth of 200 GB/s on the A16 compared with 717 GB/s on the RTX 4080 limits batch sizes in memory bound kernels on the A16 while the RTX 4080 sustains larger batches. FP32 throughput of 4.5 TFLOPS on the A16 versus 48.7 TFLOPS on the RTX 4080 further widens the gap for workloads that fall back to single precision.

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 4080

RTX 4080 is not offered on-demand by any provider we track right now. See the RTX 4080 rental page for last-seen listed prices and a price alert.

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When to Choose the A16

The A16 suits environments where TDP must stay at 250W and dense INT8 performance of 35.9 TOPS meets inference targets. The 200 GB/s memory bandwidth remains adequate when batch sizes stay modest.

When to Choose the RTX 4080

The RTX 4080 fits workloads that require dense FP16 performance of 97.5 TFLOPS or FP32 performance of 48.7 TFLOPS. Its 717 GB/s memory bandwidth supports larger batches in training and inference.

Use Cases

LLM Training
RTX 4080

The RTX 4080 provides dense FP16 performance of 97.5 TFLOPS against 17.9 TFLOPS on the A16.

LLM Inference
RTX 4080

The RTX 4080 reaches dense INT8 performance of 389.9 TOPS while the A16 reaches 35.9 TOPS.

Fine-tuning
RTX 4080

The RTX 4080 supplies FP16 with sparsity performance of 195 TFLOPS compared with 35.9 TFLOPS on the A16.

Stable Diffusion
RTX 4080

The RTX 4080 delivers FP32 performance of 48.7 TFLOPS against 4.5 TFLOPS on the A16.

Scientific Computing
A16

The A16 operates at a TDP of 250W while the RTX 4080 operates at 320W.

Frequently Asked Questions

What FP16 dense performance does the A16 deliver?▾

The A16 delivers FP16 dense performance of 17.9 TFLOPS. Its FP16 with sparsity performance reaches 35.9 TFLOPS.

How does RTX 4080 FP32 performance compare with the A16?▾

The RTX 4080 achieves FP32 performance of 48.7 TFLOPS. The A16 achieves FP32 performance of 4.5 TFLOPS.

What memory bandwidth does each GPU provide?▾

The A16 provides memory bandwidth of 200 GB/s. The RTX 4080 provides memory bandwidth of 717 GB/s.

What TDP ratings apply to the A16 and RTX 4080?▾

The A16 carries a TDP of 250W. The RTX 4080 carries a TDP of 320W.

Which GPU lists higher dense INT8 performance?▾

The RTX 4080 lists dense INT8 performance of 389.9 TOPS. The A16 lists dense INT8 performance of 35.9 TOPS.

Which is cheaper to rent, the A16 or the RTX 4080?▾

Cloud rental prices for both the A16 and RTX 4080 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 4080?▾

The A16 has 16 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.

Can I find A16 and RTX 4080 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 4080?▾

The A16 uses the Ampere architecture (2021) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 5.4x the dense FP16 throughput (97.5 vs 17.9 TFLOPS, both without sparsity) and 3.6x the memory bandwidth of the A16.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A16 and the RTX 4080. 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.

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