GPU comparison

A16 vs RTX 5060

Specifications and current cloud pricing, side by side.

AmperevsBlackwellUpdated 32 days ago

For the most common use case of general compute the RTX 5060 provides superior FP32 performance of 19.2 TFLOPS over the A16 4.5 TFLOPS while consuming less power at 145W. The higher memory bandwidth of 448 GB/s on the RTX 5060 further supports this choice in bandwidth sensitive applications.

A16 listed from $0.06/GPU/hrRTX 5060 listed from $0.18/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5060 at $0.18/hr on Vast.ai

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  • Most providers in stock: RTX 5060 (1)

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Specifications Compared

SpecA16RTX 5060
TDP250W145W
VRAM16 GB8-16 GB
CUDA Cores1,2803,840
Memory TypeGDDR6GDDR7
ArchitectureAmpereBlackwell
FP16 (dense)17.9 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)35.9 TOPSNot published
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores40120
FP32 Performance4.5 TFLOPS19.2 TFLOPS
Memory Bandwidth200 GB/s448 GB/s
FP4 (with sparsity)Not published614 TFLOPS
FP16 (with sparsity)35.9 TFLOPSNot published
INT8 (with sparsity)71.8 TOPSNot published

Performance Analysis

The FP32 performance of the A16 at 4.5 TFLOPS stands in contrast to the 19.2 TFLOPS of the RTX 5060. This delta indicates that the RTX 5060 processes FP32 operations more than four times faster based on the ratio of 19.2 to 4.5. Memory bandwidth on the RTX 5060 reaches 448 GB/s compared to 200 GB/s on the A16, which allows larger batch sizes in memory intensive tasks. The A16 provides FP16 dense at 17.9 TFLOPS and FP16 with sparsity at 35.9 TFLOPS. The RTX 5060 does not publish an FP16 figure yet offers FP4 with sparsity at 614 TFLOPS. The A16 further lists INT8 dense at 35.9 TOPS and INT8 with sparsity at 71.8 TOPS for integer workloads.

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 5060

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiGermany, DE1$0.18—Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All RTX 5060 offers, price history and alerts

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When to Choose the A16

The A16 suits scenarios that require 16 GB VRAM and INT8 dense performance of 35.9 TOPS. Its 250W TDP supports sustained operation in data center environments where the PCIe 4.0 interface suffices. Users needing FP16 dense at 17.9 TFLOPS or FP16 with sparsity at 35.9 TFLOPS select the A16 for those specific dense or sparse tensor operations.

When to Choose the RTX 5060

Its FP4 with sparsity at 614 TFLOPS enables specific low precision tasks. The PCIe 5.0 interconnect further supports environments that require the higher transfer rates of that standard.

Use Cases

LLM Training
RTX 5060

The RTX 5060 delivers 19.2 TFLOPS FP32 compared to 4.5 TFLOPS on the A16. Its 448 GB/s bandwidth supports larger training batches than the 200 GB/s on the A16.

LLM Inference
RTX 5060

The RTX 5060 provides 19.2 TFLOPS FP32 and 448 GB/s bandwidth for inference throughput. The A16 offers INT8 dense at 35.9 TOPS as an alternative for integer based inference.

Fine-tuning
A16

The A16 supplies 16 GB VRAM and FP16 dense at 17.9 TFLOPS for fine tuning workloads. Its INT8 with sparsity at 71.8 TOPS adds flexibility for quantized fine tuning.

Stable Diffusion
RTX 5060

The RTX 5060 achieves FP4 with sparsity at 614 TFLOPS for diffusion model operations. Its lower 145W TDP reduces power draw versus the 250W TDP of the A16.

Scientific Computing
RTX 5060

The RTX 5060 reaches 19.2 TFLOPS FP32 at 145W TDP for scientific simulations. The A16 provides 4.5 TFLOPS FP32 as a lower power alternative in some cases.

Frequently Asked Questions

What FP32 performance does the A16 deliver versus the RTX 5060?▾

The A16 delivers 4.5 TFLOPS FP32. The RTX 5060 delivers 19.2 TFLOPS FP32. The ratio shows the RTX 5060 exceeds the A16 by a factor of 19.2 divided by 4.5.

How does memory bandwidth differ between the A16 and RTX 5060?▾

The A16 provides 200 GB/s memory bandwidth. The RTX 5060 provides 448 GB/s memory bandwidth. This difference affects batch sizes in bandwidth limited applications.

Which GPU has the lower TDP between the A16 and RTX 5060?▾

The RTX 5060 has a TDP of 145W. The A16 has a TDP of 250W. The lower TDP on the RTX 5060 reduces power requirements in suitable deployments.

What interconnect does the RTX 5060 use compared to the A16?▾

The RTX 5060 uses PCIe 5.0 interconnect. The A16 uses PCIe 4.0 interconnect. The newer standard on the RTX 5060 supports higher transfer rates.

Does the A16 publish FP16 performance numbers?▾

The A16 publishes FP16 dense at 17.9 TFLOPS. It also publishes FP16 with sparsity at 35.9 TFLOPS. The RTX 5060 does not publish FP16 figures.

Which is cheaper to rent, the A16 or the RTX 5060?▾

Cloud rental prices for both the A16 and RTX 5060 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 5060?▾

The A16 has 16 GB of GDDR6 memory. The RTX 5060 has 8 to 16 GB of GDDR7 memory.

Can I find A16 and RTX 5060 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 5060?▾

The A16 uses the Ampere architecture (2021) while the RTX 5060 uses Blackwell (2025). The A16 has 16 GB of GDDR6 at 200 GB/s; the RTX 5060 has 8-16 GB of GDDR7 at 448 GB/s, so the RTX 5060 has 2.2x the memory bandwidth of the A16.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A16 and the RTX 5060. 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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