RTX 2060 vs RTX 5060

TuringvsBlackwellUpdated 36 days ago

The RTX 5060 emerges as the superior choice for most cloud GPU use cases. Its 23.1 TFLOPS compute, 448 GB/s bandwidth, and 12 GB GDDR7 VRAM deliver over 3.5 times the performance of the RTX 2060's 6.5 TFLOPS and 336 GB/s, accelerating training and inference substantially despite higher $0.15 per hour costs.

RTX 5060 from $0.27/hr

Specifications Compared

SpecRTX-2060RTX-5060
TDP160W180W
VRAM6-12 GB12 GB
CUDA Cores1,9204,608
Memory TypeGDDR6GDDR7
ArchitectureTuringBlackwell
Form FactorsPCIePCIe
Interconnect
Tensor Cores240144
FP16 Performance6.5 TFLOPS23.1 TFLOPS
FP32 Performance6.5 TFLOPS23.1 TFLOPS
Memory Bandwidth336 GB/s448 GB/s

Performance Analysis

The RTX 5060 outperforms the RTX 2060 by a factor of 3.6 in FP16 and FP32 performance, delivering 23.1 TFLOPS against 6.5 TFLOPS. This delta translates to faster model training and inference: training a large language model batch could complete over three times quicker on the RTX 5060, reducing iteration times significantly. Inference workloads benefit similarly, with higher throughput enabling real-time applications at scales unattainable on the RTX 2060.

Memory bandwidth represents another key advantage for the RTX 5060 at 448 GB/s versus 336 GB/s on the RTX 2060. Higher bandwidth supports larger batch sizes in training, minimizing data transfer bottlenecks and allowing models with extensive parameters to process efficiently. The RTX 2060's 6 to 12 GB GDDR6 VRAM may suffice for smaller models, but the RTX 5060's consistent 12 GB GDDR7 handles memory-intensive tasks without swapping.

Power draw differs modestly, with the RTX 5060 at 180W TDP compared to 160W for the RTX 2060. Despite the increase, the performance uplift yields better FLOPS per watt: approximately 0.128 TFLOPS/W for the RTX 5060 versus 0.041 TFLOPS/W for the RTX 2060 in FP32. Blackwell's architectural improvements further optimize tensor operations for AI workloads.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

RTX 5060

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
2×NVIDIA GeForce RTX 5060 Ti
16GB VRAM
$0.27/GPU/hr
$0.53/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX 2060

The RTX 2060 suits budget-limited projects requiring modest compute. At $0.02 per hour from providers, it undercuts the RTX 5060's $0.07 per hour minimum, ideal for prototyping small models or lightweight inference where 6.5 TFLOPS suffices. Its 160W TDP fits power-constrained cloud instances.

Legacy Turing compatibility makes the RTX 2060 preferable for applications tuned to 2019-era software stacks, avoiding retraining costs on newer architectures.

When to Choose the RTX 5060

Opt for the RTX 5060 in performance-critical workloads demanding high throughput. Its 23.1 TFLOPS FP16/FP32 enables rapid training of mid-sized models, while 448 GB/s bandwidth supports large batches without latency issues. The 12 GB GDDR7 VRAM ensures capacity for modern datasets.

Blackwell architecture excels in AI-optimized tasks, justifying $0.15 per hour average pricing across six providers for users prioritizing speed over cost.

Use Cases

LLM Training
RTX 5060

The RTX 5060's 23.1 TFLOPS FP16 performance enables faster convergence on large models compared to the RTX 2060's 6.5 TFLOPS. Higher 448 GB/s bandwidth supports bigger batches essential for effective training.

LLM Inference
RTX 5060

RTX 5060 delivers 23.1 TFLOPS FP32 for low-latency serving of LLMs, far exceeding RTX 2060's 6.5 TFLOPS. Consistent 12 GB VRAM handles token generation without memory constraints.

Fine-tuning
Either

RTX 2060 suffices for small-scale fine-tuning at 6.5 TFLOPS and low $0.04 per hour cost. RTX 5060 accelerates larger datasets with 23.1 TFLOPS but at higher expense.

Stable Diffusion
RTX 5060

RTX 5060's 448 GB/s bandwidth and 12 GB VRAM optimize image generation pipelines, outperforming RTX 2060's 336 GB/s for high-resolution outputs.

Scientific Computing
RTX 5060

Blackwell's 23.1 TFLOPS FP32 crunches simulations rapidly versus Turing's 6.5 TFLOPS. Enhanced bandwidth aids data-heavy computations.

Frequently Asked Questions

Which GPU has more VRAM?

The RTX 5060 provides 12 GB of GDDR7 VRAM consistently. The RTX 2060 offers 6 to 12 GB of GDDR6, but availability varies by instance.

What is the performance difference in TFLOPS?

RTX 5060 achieves 23.1 TFLOPS in FP16 and FP32. RTX 2060 delivers 6.5 TFLOPS in both, a 3.6 times gap favoring the newer GPU.

How do cloud prices compare?

RTX 2060 rents from $0.02 per hour, averaging $0.04 across two offers. RTX 5060 starts at $0.07 per hour, averaging $0.15 across six offers.

Which has higher memory bandwidth?

RTX 5060 bandwidth reaches 448 GB/s with GDDR7. RTX 2060 provides 336 GB/s using GDDR6.

What are the TDP ratings?

RTX 2060 consumes 160W TDP. RTX 5060 requires 180W TDP, a minor increase for substantial performance gains.

Which architecture is newer?

RTX 5060 uses Blackwell from 2025. RTX 2060 relies on Turing from 2019.

Which is cheaper to rent, the RTX 2060 or the RTX 5060?

Cloud rental prices for both the RTX 2060 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 2060 have compared to the RTX 5060?

The RTX 2060 has 6 to 12 GB of GDDR6 memory. The RTX 5060 has 12 GB of GDDR7 memory.

Can I find RTX 2060 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 2060 and the RTX 5060?

The RTX 2060 uses the Turing architecture (2019) while the RTX 5060 uses Blackwell (2025). The RTX 5060 delivers 3.6x the FP16 throughput and 1.3x the memory bandwidth of the RTX 2060.

RTX 2060 vs RTX 5060: 3.6x FP16 Gap, 12GB vs 12GB | GPUPerHour