GPU comparison

GTX 1070 vs RTX 3070

Specifications and current cloud pricing, side by side.

PascalvsAmpereUpdated 34 days ago

The RTX 3070 wins for the most common use case of model training and inference. Its 20.3 TFLOPS FP32 and dense FP16 at 40.6 TFLOPS deliver substantially higher throughput than the GTX 1070 6.5 TFLOPS FP32 while maintaining the same 8 GB memory capacity.

RTX 3070 listed from $0.13/GPU/hr

Specifications Compared

SpecGTX 1070RTX 3070
TDP150W220W
VRAM8 GB8 GB
CUDA Cores1,9205,888
Memory TypeGDDR5GDDR6
ArchitecturePascalAmpere
FP16 (dense)Not published40.6 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published162.6 TOPS
InterconnectPCIe 3.0PCIe 4.0
Tensor CoresNot published184
FP32 Performance6.5 TFLOPS20.3 TFLOPS
Memory Bandwidth256 GB/s448 GB/s
FP16 (with sparsity)Not published81.3 TFLOPS
INT8 (with sparsity)Not published325.2 TOPS

Performance Analysis

The FP32 performance of the RTX 3070 reaches 20.3 TFLOPS compared with 6.5 TFLOPS on the GTX 1070. This difference affects training and inference tasks that rely on single precision calculations. The RTX 3070 also lists dense FP16 at 40.6 TFLOPS and dense INT8 at 162.6 TOPS while the GTX 1070 provides no published figures for those precisions. Memory bandwidth on the RTX 3070 measures 448 GB/s against 256 GB/s on the GTX 1070. Higher bandwidth permits larger batch sizes during model execution without memory bottlenecks. Sparse FP16 on the RTX 3070 reaches 81.3 TFLOPS and sparse INT8 reaches 325.2 TOPS allowing further acceleration in workloads that support sparsity.

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.

GTX 1070

GTX 1070 is not offered on-demand by any provider we track right now. See the GTX 1070 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 GTX 1070

The GTX 1070 suits environments where power consumption must stay at 150W. Its 6.5 TFLOPS FP32 performance handles basic inference or older scientific computing workloads that do not require higher precision formats. The lower TDP reduces cooling demands in constrained systems. The 256 GB/s bandwidth remains adequate for tasks with modest data movement needs.

When to Choose the RTX 3070

Its 448 GB/s bandwidth supports larger batch sizes in training or inference compared with the GTX 1070. The 220W TDP is acceptable when performance gains justify the increase. Sparse modes at 81.3 TFLOPS FP16 further accelerate compatible models.

Use Cases

LLM Training
RTX 3070

The RTX 3070 supplies 20.3 TFLOPS FP32 and dense FP16 at 40.6 TFLOPS for faster iteration than the GTX 1070 6.5 TFLOPS FP32.

LLM Inference
RTX 3070

Dense INT8 at 162.6 TOPS on the RTX 3070 enables higher throughput than the GTX 1070 which lists no published INT8 figure.

Fine-tuning
RTX 3070

The 448 GB/s bandwidth on the RTX 3070 allows larger batch sizes during fine-tuning compared with 256 GB/s on the GTX 1070.

Stable Diffusion
RTX 3070

Sparse FP16 at 81.3 TFLOPS on the RTX 3070 accelerates image generation workloads beyond the GTX 1070 capabilities.

Scientific Computing
Either

Both GPUs provide 8 GB memory and the GTX 1070 at 150W TDP may suffice for FP32 tasks at 6.5 TFLOPS when power limits apply.

Frequently Asked Questions

What is the FP32 performance difference between GTX 1070 and RTX 3070?▾

The GTX 1070 delivers 6.5 TFLOPS FP32. The RTX 3070 reaches 20.3 TFLOPS FP32. This yields a ratio of roughly three times higher performance on the RTX 3070.

How does memory bandwidth compare on these GPUs?▾

The GTX 1070 provides 256 GB/s bandwidth with GDDR5 memory. The RTX 3070 provides 448 GB/s bandwidth with GDDR6 memory. The higher figure supports increased data throughput during model execution.

What TDP values apply to the GTX 1070 and RTX 3070?▾

The GTX 1070 lists a TDP of 150W. The RTX 3070 lists a TDP of 220W. Power and cooling requirements therefore increase with the newer card.

Does the RTX 3070 support sparse tensor operations?▾

The RTX 3070 lists sparse FP16 at 81.3 TFLOPS and sparse INT8 at 325.2 TOPS. The GTX 1070 provides no published sparse figures.

Which GPU offers higher dense FP16 performance?▾

The RTX 3070 lists dense FP16 at 40.6 TFLOPS. The GTX 1070 provides no published FP16 figure. Workloads requiring dense FP16 therefore favor the RTX 3070.

Which is cheaper to rent, the GTX 1070 or the RTX 3070?▾

Cloud rental prices for both the GTX 1070 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 GTX 1070 have compared to the RTX 3070?▾

The GTX 1070 has 8 GB of GDDR5 memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find GTX 1070 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 GTX 1070 and the RTX 3070?▾

The GTX 1070 uses the Pascal architecture (2016) while the RTX 3070 uses Ampere (2020). The GTX 1070 has 8 GB of GDDR5 at 256 GB/s; the RTX 3070 has 8 GB of GDDR6 at 448 GB/s, so the RTX 3070 has 1.8x the memory bandwidth of the GTX 1070.

Rent these GPUs

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GTX 1070 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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