GPU comparison

RTX 2070 vs RTX 3070

Specifications and current cloud pricing, side by side.

TuringvsAmpereUpdated 32 days ago

The RTX 3070 is the stronger choice for the most common machine learning workloads because its 20.3 TFLOPS FP32 and 40.6 TFLOPS dense FP16 exceed the corresponding 7.5 TFLOPS and 29.9 TFLOPS figures of the RTX 2070 while sharing the same memory capacity and bandwidth.

RTX 3070 listed from $0.13/GPU/hr

Specifications Compared

SpecRTX 2070RTX 3070
TDP175W220W
VRAM8 GB8 GB
CUDA Cores2,3045,888
Memory TypeGDDR6GDDR6
ArchitectureTuringAmpere
FP16 (dense)29.9 TFLOPS40.6 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)119.4 TOPS162.6 TOPS
InterconnectPCIe 3.0PCIe 4.0
Tensor Cores288184
FP32 Performance7.5 TFLOPS20.3 TFLOPS
Memory Bandwidth448 GB/s448 GB/s
FP16 (with sparsity)Not published81.3 TFLOPS
INT8 (with sparsity)Not published325.2 TOPS

Performance Analysis

Dense FP16 performance on the RTX 3070 exceeds that of the RTX 2070 by the ratio of 40.6 TFLOPS to 29.9 TFLOPS which translates to higher throughput for mixed precision training workloads that rely on dense tensor operations. The RTX 3070 also provides 20.3 TFLOPS FP32 versus 7.5 TFLOPS FP32 allowing faster single precision scientific kernels and larger effective batch sizes when memory bandwidth remains fixed at 448 GB/s for both cards. INT8 dense throughput follows the same pattern with 162.6 TOPS on the RTX 3070 against 119.4 TOPS on the RTX 2070.

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 2070

RTX 2070 is not offered on-demand by any provider we track right now. See the RTX 2070 rental page for last-seen listed prices and a price alert.

RTX 3070

RTX 3070 is not offered on-demand by any provider we track right now. See the RTX 3070 rental page for last-seen listed prices and a price alert.

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When to Choose the RTX 2070

The RTX 2070 suits environments constrained by a 175 W power budget where the 7.5 TFLOPS FP32 rating remains adequate for lighter inference tasks. Its PCIe 3.0 interface matches older server platforms that lack PCIe 4.0 support.

When to Choose the RTX 3070

Its higher dense INT8 rating of 162.6 TOPS supports accelerated quantized inference relative to the 119.4 TOPS of the RTX 2070.

Use Cases

LLM Training
RTX 3070

The RTX 3070 supplies 40.6 TFLOPS dense FP16 and 20.3 TFLOPS FP32 which exceed the 29.9 TFLOPS dense FP16 and 7.5 TFLOPS FP32 of the RTX 2070.

LLM Inference
RTX 3070

Quantized inference benefits from the 162.6 TOPS dense INT8 rating on the RTX 3070 versus 119.4 TOPS on the RTX 2070.

Fine-tuning
RTX 3070

Mixed precision fine-tuning runs faster with 40.6 TFLOPS dense FP16 on the RTX 3070 compared with 29.9 TFLOPS dense FP16 on the RTX 2070.

Stable Diffusion
RTX 3070

Image generation workloads gain from the 20.3 TFLOPS FP32 and 40.6 TFLOPS dense FP16 of the RTX 3070 over the lower ratings of the RTX 2070.

Scientific Computing
RTX 3070

FP32 heavy simulations execute at 20.3 TFLOPS on the RTX 3070 versus 7.5 TFLOPS on the RTX 2070.

Frequently Asked Questions

What is the FP32 performance difference between RTX 2070 and RTX 3070?▾

The RTX 3070 reaches 20.3 TFLOPS FP32 while the RTX 2070 reaches 7.5 TFLOPS FP32. This difference affects single precision workloads directly.

How does memory bandwidth compare on these two GPUs?▾

Both the RTX 2070 and RTX 3070 provide 448 GB/s memory bandwidth with identical 8 GB GDDR6 capacity. Batch size limits tied to bandwidth remain equivalent.

Which GPU has higher dense FP16 throughput?▾

The RTX 3070 lists 40.6 TFLOPS dense FP16 compared with 29.9 TFLOPS dense FP16 on the RTX 2070. Training and inference steps that use dense FP16 therefore complete faster on the RTX 3070.

What are the TDP values for RTX 2070 and RTX 3070?▾

The RTX 2070 carries a 175 W TDP while the RTX 3070 carries a 220 W TDP. System power and cooling requirements scale accordingly.

Do both cards support the same interconnect?▾

The RTX 2070 uses PCIe 3.0 while the RTX 3070 uses PCIe 4.0. Data transfer rates between host and device differ as a result.

Which is cheaper to rent, the RTX 2070 or the RTX 3070?▾

Cloud rental prices for both the RTX 2070 and RTX 3070 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 2070 have compared to the RTX 3070?▾

The RTX 2070 has 8 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find RTX 2070 and RTX 3070 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 2070 and the RTX 3070?▾

The RTX 2070 uses the Turing architecture (2018) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 1.4x the dense FP16 throughput (40.6 vs 29.9 TFLOPS, both without sparsity) and the same memory bandwidth as the RTX 2070.

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 2070 and the RTX 3070. 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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