GPU comparison

RTX 4000 Ada vs RTX 5060

Specifications and current cloud pricing, side by side.

Ada LovelacevsBlackwellUpdated 33 days ago

The RTX 4000 Ada emerges as the stronger choice for the most common use case of memory-intensive compute tasks. Its 20 GB VRAM and 26.7 TFLOPS dense FP32 exceed the corresponding 8-16 GB and 19.2 TFLOPS values on the RTX 5060 while operating at a lower 130W TDP.

RTX 4000 Ada listed from $0.28/GPU/hrRTX 5060 listed from $0.16/GPU/hr

Specifications Compared

SpecRTX 4000 AdaRTX 5060
TDP130W145W
VRAM20 GB8-16 GB
CUDA Cores6,1443,840
Memory TypeGDDR6GDDR7
ArchitectureAda LovelaceBlackwell
Form FactorsPCIePCIe
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores192120
FP32 Performance26.7 TFLOPS19.2 TFLOPS
Memory Bandwidth360 GB/s448 GB/s
FP4 (with sparsity)Not published614 TFLOPS
FP8 (with sparsity)427.6 TFLOPSNot published

Performance Analysis

The RTX 4000 Ada delivers 26.7 TFLOPS dense FP32 performance compared to 19.2 TFLOPS dense FP32 on the RTX 5060. This dense FP32 advantage supports larger computational throughput in precision-sensitive operations without reliance on sparsity. Memory bandwidth of 360 GB/s on the RTX 4000 Ada versus 448 GB/s on the RTX 5060 influences data movement rates and can constrain batch sizes in memory-bound scenarios where the higher bandwidth figure permits increased throughput. TDP values of 130W for the RTX 4000 Ada and 145W for the RTX 5060 further differentiate power efficiency under sustained dense FP32 loads.

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 4000 Ada

RTX 4000 Ada is not offered on-demand by any provider we track right now. See the RTX 4000 Ada rental page for last-seen listed prices and a price alert.

RTX 5060

RTX 5060 is not offered on-demand by any provider we track right now. See the RTX 5060 rental page for last-seen listed prices and a price alert.

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When to Choose the RTX 4000 Ada

The RTX 4000 Ada suits scenarios that require its 20 GB memory capacity and 26.7 TFLOPS dense FP32 rating. Workloads limited by VRAM constraints benefit from this configuration over the 8-16 GB range of the alternative. Its 130W TDP also aligns with deployments that prioritize lower power draw alongside the 360 GB/s bandwidth.

When to Choose the RTX 5060

The RTX 5060 fits applications that utilize its 448 GB/s memory bandwidth and PCIe 5.0 interconnect. Tasks sensitive to data transfer speeds gain from this specification relative to the 360 GB/s figure. The Blackwell architecture and FP4 with sparsity rating of 614 TFLOPS provide options for precision formats not matched on the prior generation.

Use Cases

LLM Training
RTX 4000 Ada

The RTX 4000 Ada supplies 20 GB memory that exceeds the 8-16 GB capacity and supports larger model states during training cycles.

LLM Inference
RTX 5060

The RTX 5060 provides 448 GB/s bandwidth that surpasses 360 GB/s and enables faster token processing under inference loads.

Fine-tuning
RTX 4000 Ada

The RTX 4000 Ada offers 20 GB VRAM along with 26.7 TFLOPS dense FP32 to accommodate gradient computations without capacity limits.

Stable Diffusion
RTX 5060

The RTX 5060 delivers 448 GB/s bandwidth that improves image generation throughput compared to the 360 GB/s alternative.

Scientific Computing
RTX 4000 Ada

The RTX 4000 Ada achieves 26.7 TFLOPS dense FP32 at 130W TDP for sustained numerical workloads with lower power requirements.

Frequently Asked Questions

What memory configurations distinguish the RTX 4000 Ada from the RTX 5060?▾

The RTX 4000 Ada features 20 GB GDDR6 while the RTX 5060 provides 8-16 GB GDDR7. These capacities directly affect maximum dataset sizes in supported applications.

How do the FP32 ratings compare between these GPUs?▾

The RTX 4000 Ada lists 26.7 TFLOPS dense FP32 and the RTX 5060 lists 19.2 TFLOPS dense FP32. The difference determines relative throughput in dense floating point operations.

Which GPU has higher memory bandwidth?▾

The RTX 5060 reaches 448 GB/s compared to 360 GB/s on the RTX 4000 Ada. Bandwidth figures influence data access speeds in bandwidth-limited kernels.

What are the TDP values for the RTX 4000 Ada and RTX 5060?▾

The RTX 4000 Ada operates at 130W TDP while the RTX 5060 requires 145W TDP. These power specifications guide system cooling and efficiency planning.

Do the GPUs share the same interconnect standard?▾

The RTX 4000 Ada uses PCIe 4.0 and the RTX 5060 uses PCIe 5.0. Interconnect versions affect host to device transfer rates in multi GPU setups.

Which is cheaper to rent, the RTX 4000 Ada or the RTX 5060?▾

Cloud rental prices for both the RTX 4000 Ada 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 RTX 4000 Ada have compared to the RTX 5060?▾

The RTX 4000 Ada has 20 GB of GDDR6 memory. The RTX 5060 has 8 to 16 GB of GDDR7 memory.

Can I find RTX 4000 Ada 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 RTX 4000 Ada and the RTX 5060?▾

The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the RTX 5060 uses Blackwell (2025). The RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s; the RTX 5060 has 8-16 GB of GDDR7 at 448 GB/s, so the RTX 5060 has 1.2x the memory bandwidth of the RTX 4000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 4000 Ada 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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