GPU comparison

RTX 4060 vs RTX 5080

Specifications and current cloud pricing, side by side.

Ada LovelacevsBlackwellUpdated 33 days ago

The RTX 5080 provides the stronger choice for the most common use case of LLM inference because its 56.3 TFLOPS FP32 and 960 GB/s memory bandwidth exceed the corresponding 15.1 TFLOPS FP32 and 272 GB/s figures on the RTX 4060 by substantial margins derived from the listed specifications.

RTX 4060 listed from $0.15/GPU/hrRTX 5080 listed from $0.59/GPU/hr

Specifications Compared

SpecRTX 4060RTX 5080
TDP115W360W
VRAM8-16 GB16 GB
CUDA Cores3,07210,752
FP4 (dense)Not published900.4 TFLOPS
FP8 (dense)Not published225.1 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureAda LovelaceBlackwell
FP16 (dense)Not published112.6 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published450.2 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores96336
FP32 Performance15.1 TFLOPS56.3 TFLOPS
Memory Bandwidth272 GB/s960 GB/s
FP4 (with sparsity)Not published1,801 TFLOPS
FP8 (with sparsity)242 TFLOPS450.2 TFLOPS
FP16 (with sparsity)Not published225.1 TFLOPS
INT8 (with sparsity)Not published900.4 TOPS

Performance Analysis

The FP32 rating of 56.3 TFLOPS on the RTX 5080 exceeds the 15.1 TFLOPS FP32 on the RTX 4060 by a factor derived directly from these values and supports larger scale matrix operations in training or inference pipelines. Memory bandwidth at 960 GB/s on the RTX 5080 compared to 272 GB/s on the RTX 4060 permits increased batch sizes during model execution without proportional increases in transfer overhead. FP8 performance with sparsity reaches 450.2 TFLOPS on the RTX 5080 against 242 TFLOPS with sparsity on the RTX 4060 while dense FP16 at 112.6 TFLOPS on the RTX 5080 has no corresponding published figure for the RTX 4060 and therefore precludes direct dense FP16 ratio calculations.

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 5080

RTX 5080 is not offered on-demand by any provider we track right now. See the RTX 5080 rental page for last-seen listed prices and a price alert.

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When to Choose the RTX 4060

The RTX 4060 fits scenarios that prioritize lower TDP at 115W over peak throughput such as sustained inference tasks where power constraints limit deployment scale. Its 272 GB/s memory bandwidth and 8-16 GB GDDR6 VRAM configuration supports moderate batch processing in environments that cannot accommodate 360W TDP requirements of the RTX 5080.

When to Choose the RTX 5080

The RTX 5080 suits applications that demand higher FP32 throughput at 56.3 TFLOPS and elevated memory bandwidth at 960 GB/s for expanded batch handling during fine tuning or scientific computing. Its 16 GB GDDR7 VRAM and dense FP16 rating of 112.6 TFLOPS enable larger model handling compared to the RTX 4060 specifications.

Use Cases

LLM Training
RTX 5080

The RTX 5080 delivers 56.3 TFLOPS FP32 compared to 15.1 TFLOPS FP32 on the RTX 4060 which scales training throughput accordingly.

LLM Inference
RTX 5080

Dense FP16 at 112.6 TFLOPS on the RTX 5080 supports higher inference rates than any published metric on the RTX 4060.

Fine-tuning
RTX 5080

Memory bandwidth of 960 GB/s on the RTX 5080 allows larger batch sizes than the 272 GB/s on the RTX 4060 during parameter updates.

Stable Diffusion
Either

Scientific Computing
RTX 5080

The 56.3 TFLOPS FP32 rating on the RTX 5080 exceeds the 15.1 TFLOPS FP32 on the RTX 4060 for compute intensive simulations.

Frequently Asked Questions

What is the FP32 performance difference between RTX 4060 and RTX 5080?▾

The RTX 5080 lists 56.3 TFLOPS FP32 while the RTX 4060 lists 15.1 TFLOPS FP32. This difference determines relative throughput in floating point workloads.

How does memory bandwidth compare for batch processing?▾

The RTX 5080 provides 960 GB/s memory bandwidth against 272 GB/s on the RTX 4060. Higher bandwidth supports larger batch sizes in model execution.

Which GPU has higher sparse FP8 performance?▾

The RTX 5080 reaches 450.2 TFLOPS FP8 with sparsity while the RTX 4060 reaches 242 TFLOPS FP8 with sparsity. Direct comparison uses only sparsity labeled figures.

What TDP values affect power limited deployments?▾

The RTX 4060 operates at 115W TDP and the RTX 5080 at 360W TDP. Lower TDP on the RTX 4060 suits installations with strict power caps.

Does the RTX 4060 publish an FP16 rating?▾

No FP16 figure appears for the RTX 4060 in the specifications. The RTX 5080 lists 112.6 TFLOPS dense FP16 and 225.1 TFLOPS with sparsity.

Which is cheaper to rent, the RTX 4060 or the RTX 5080?▾

Cloud rental prices for both the RTX 4060 and RTX 5080 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 5080?▾

The RTX 4060 has 8 to 16 GB of GDDR6 memory. The RTX 5080 has 16 GB of GDDR7 memory.

Can I find RTX 4060 and RTX 5080 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 5080?▾

The RTX 4060 uses the Ada Lovelace architecture (2023) while the RTX 5080 uses Blackwell (2025). The RTX 4060 has 8-16 GB of GDDR6 at 272 GB/s; the RTX 5080 has 16 GB of GDDR7 at 960 GB/s, so the RTX 5080 has 3.5x the memory bandwidth of the RTX 4060.

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 RTX 4060 and the RTX 5080. 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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