GPU comparison

A16 vs RTX 2060

Specifications and current cloud pricing, side by side.

AmperevsTuringUpdated 33 days ago

The A16 wins for the most common use case of LLM inference because it supplies 16 GB memory capacity and FP16 dense performance of 17.9 TFLOPS where the RTX 2060 lacks published FP16 data and offers lower memory capacity.

A16 listed from $0.06/GPU/hr

Specifications Compared

SpecA16RTX 2060
TDP250W160W
VRAM16 GB6-12 GB
CUDA Cores1,2801,920
Memory TypeGDDR6GDDR6
ArchitectureAmpereTuring
FP16 (dense)17.9 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)35.9 TOPSNot published
InterconnectPCIe 4.0PCIe 3.0
Tensor Cores40240
FP32 Performance4.5 TFLOPS6.5 TFLOPS
Memory Bandwidth200 GB/s336 GB/s
FP16 (with sparsity)35.9 TFLOPSNot published
INT8 (with sparsity)71.8 TOPSNot published

Performance Analysis

The A16 supplies FP16 dense performance of 17.9 TFLOPS and FP16 performance with sparsity of 35.9 TFLOPS while the RTX 2060 does not publish FP16 figures. This FP16 dense rating on the A16 supports inference workloads that require half precision calculations at scale. The A16 also lists INT8 dense performance of 35.9 TOPS and INT8 performance with sparsity of 71.8 TOPS. FP32 performance of 4.5 TFLOPS on the A16 trails the 6.5 TFLOPS rating on the RTX 2060. Memory bandwidth of 200 GB/s on the A16 versus 336 GB/s on the RTX 2060 influences achievable batch sizes during model execution. The 16 GB memory capacity on the A16 exceeds the 6 to 12 GB capacity on the RTX 2060 and permits larger model footprints without swapping.

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 2060

RTX 2060 is not offered on-demand by any provider we track right now. See the RTX 2060 rental page for last-seen listed prices and a price alert.

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When to Choose the A16

The A16 suits workloads that require 16 GB memory capacity and INT8 dense performance of 35.9 TOPS. PCIe 4.0 interconnect on the A16 further supports environments that benefit from newer bus standards alongside FP16 dense performance of 17.9 TFLOPS.

When to Choose the RTX 2060

The RTX 2060 suits workloads that require FP32 performance of 6.5 TFLOPS and memory bandwidth of 336 GB/s. TDP of 160W on the RTX 2060 further supports power constrained setups compared to the 250W rating on the A16.

Use Cases

LLM Training
A16

The A16 supplies 16 GB memory capacity that accommodates larger models during training compared to the 6 to 12 GB on the RTX 2060.

LLM Inference
A16

The A16 supplies FP16 dense performance of 17.9 TFLOPS and 16 GB memory capacity that support inference at scale.

Fine-tuning
A16

The A16 supplies INT8 dense performance of 35.9 TOPS and 16 GB memory capacity that aid parameter updates during fine tuning.

Stable Diffusion
RTX 2060

The RTX 2060 supplies memory bandwidth of 336 GB/s that can sustain image generation throughput alongside FP32 performance of 6.5 TFLOPS.

Scientific Computing
RTX 2060

The RTX 2060 supplies FP32 performance of 6.5 TFLOPS that exceeds the 4.5 TFLOPS rating on the A16 for double precision adjacent tasks.

Frequently Asked Questions

What is the FP32 performance of each GPU?▾

The A16 delivers FP32 performance of 4.5 TFLOPS. The RTX 2060 delivers FP32 performance of 6.5 TFLOPS.

How does memory bandwidth differ between the GPUs?▾

The A16 reaches memory bandwidth of 200 GB/s. The RTX 2060 reaches memory bandwidth of 336 GB/s.

What TDP ratings apply to the A16 and RTX 2060?▾

The A16 carries a TDP of 250W. The RTX 2060 carries a TDP of 160W.

Which interconnect does each GPU use?▾

The A16 uses PCIe 4.0 interconnect. The RTX 2060 uses PCIe 3.0 interconnect.

Does the RTX 2060 publish FP16 performance?▾

The RTX 2060 does not publish an FP16 figure. The A16 publishes FP16 dense performance of 17.9 TFLOPS and FP16 performance with sparsity of 35.9 TFLOPS.

Which is cheaper to rent, the A16 or the RTX 2060?▾

Cloud rental prices for both the A16 and RTX 2060 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 2060?▾

The A16 has 16 GB of GDDR6 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.

Can I find A16 and RTX 2060 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 2060?▾

The A16 uses the Ampere architecture (2021) while the RTX 2060 uses Turing (2019). The A16 has 16 GB of GDDR6 at 200 GB/s; the RTX 2060 has 6-12 GB of GDDR6 at 336 GB/s, so the RTX 2060 has 1.7x the memory bandwidth of the A16.

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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 2060. 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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