GPU comparison

RTX 4060 vs RTX A4000

Specifications and current cloud pricing, side by side.

Ada LovelacevsAmpereUpdated 33 days ago

The RTX A4000 emerges as the preferable option for the most common use cases because of its superior memory bandwidth of 448 GB/s and higher FP32 performance of 19.2 TFLOPS relative to the RTX 4060.

RTX 4060 listed from $0.15/GPU/hrRTX A4000 listed from $0.15/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A4000 at $0.15/hr on Hyperstack

    Deploy
  • Most providers in stock: RTX A4000 (3)

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Specifications Compared

SpecRTX 4060RTX A4000
TDP115W140W
VRAM8-16 GB16-20 GB
CUDA Cores3,0726,144
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceAmpere
Form FactorsPCIePCIe
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores96192
FP32 Performance15.1 TFLOPS19.2 TFLOPS
Memory Bandwidth272 GB/s448 GB/s
FP8 (with sparsity)242 TFLOPSNot published
FP16 (with sparsity)Not published153.4 TFLOPS

Performance Analysis

The FP32 rating of 15.1 TFLOPS on the RTX 4060 compared to 19.2 TFLOPS on the RTX A4000 indicates higher dense floating point throughput on the latter for general computations. The RTX A4000 lists FP16 performance with sparsity at 153.4 TFLOPS whereas the RTX 4060 provides FP8 performance with sparsity at 242 TFLOPS so direct sparse comparison remains limited to available figures. Higher memory bandwidth of 448 GB/s on the RTX A4000 versus 272 GB/s on the RTX 4060 supports larger batch sizes during model training or inference operations.

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.

RTX 4060

RTX 4060 is not offered on-demand by any provider we track right now. See the RTX 4060 rental page for last-seen listed prices and a price alert.

RTX A4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
HyperstackNORWAY-11$0.15—Deploy
RunPodglobal1$0.25—Deploy
Paperspaceny21$0.76—Deploy

3 providers in stock, 11 offers (cheapest per provider shown). All RTX A4000 offers, price history and alerts

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When to Choose the RTX 4060

The RTX 4060 suits scenarios with lower power constraints due to its TDP of 115W. Its FP8 with sparsity at 242 TFLOPS benefits specific quantized inference tasks where the memory bandwidth of 272 GB/s remains sufficient for moderate workloads.

When to Choose the RTX A4000

Its FP32 performance of 19.2 TFLOPS and FP16 with sparsity at 153.4 TFLOPS support larger scale training and inference compared to the RTX 4060.

Use Cases

LLM Training
RTX A4000

The RTX A4000 provides 16 to 20 GB VRAM and 448 GB/s bandwidth that accommodate larger models than the 8 to 16 GB and 272 GB/s on the RTX 4060.

LLM Inference
RTX A4000

FP16 with sparsity at 153.4 TFLOPS and higher bandwidth of 448 GB/s on the RTX A4000 enable efficient handling of inference batches beyond the RTX 4060 capabilities.

Fine-tuning
RTX A4000

Greater VRAM range of 16 to 20 GB and FP32 at 19.2 TFLOPS on the RTX A4000 support fine tuning operations with larger datasets compared to the RTX 4060.

Stable Diffusion
Either

Scientific Computing
RTX A4000

The RTX A4000 delivers FP32 performance of 19.2 TFLOPS and bandwidth of 448 GB/s that benefit compute intensive scientific simulations over the RTX 4060.

Frequently Asked Questions

How does memory bandwidth compare between the RTX 4060 and RTX A4000?▾

The RTX 4060 provides 272 GB/s bandwidth and the RTX A4000 provides 448 GB/s bandwidth. This difference affects data transfer rates during processing.

What FP32 performance do the RTX 4060 and RTX A4000 deliver?▾

The RTX 4060 achieves 15.1 TFLOPS in FP32 and the RTX A4000 achieves 19.2 TFLOPS in FP32. These dense figures indicate general compute throughput.

Which GPU has lower power consumption between the RTX 4060 and RTX A4000?▾

The RTX 4060 operates at a TDP of 115W compared to 140W for the RTX A4000. Lower TDP reduces energy requirements in deployments.

What sparse tensor performance is listed for each GPU?▾

The RTX 4060 lists FP8 with sparsity at 242 TFLOPS and the RTX A4000 lists FP16 with sparsity at 153.4 TFLOPS. No direct dense FP16 figures appear for either.

Which is cheaper to rent, the RTX 4060 or the RTX A4000?▾

Cloud rental prices for both the RTX 4060 and RTX A4000 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 RTX 4060 have compared to the RTX A4000?▾

The RTX 4060 has 8 to 16 GB of GDDR6 memory. The RTX A4000 has 16 to 20 GB of GDDR6 memory.

Can I find RTX 4060 and RTX A4000 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 RTX 4060 and the RTX A4000?▾

The RTX 4060 uses the Ada Lovelace architecture (2023) while the RTX A4000 uses Ampere (2021). The RTX 4060 has 8-16 GB of GDDR6 at 272 GB/s; the RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s, so the RTX A4000 has 1.6x the memory bandwidth of the RTX 4060.

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 RTX 4060 and the RTX A4000. 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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