GTX 1070 vs RTX 4070 SUPER

PascalvsAda LovelaceUpdated 35 days ago

The RTX 4070 SUPER emerges as the winner for most use cases: its 29.1 TFLOPS compute power and 504 GB/s bandwidth vastly outperform the GTX 1070's 6.5 TFLOPS and 256 GB/s, enabling superior handling of contemporary AI workloads.

RTX 4070 SUPER from $0.50/hr

Specifications Compared

SpecGTX-1070RTX-4070
TDP150W200W
VRAM8 GB12 GB
CUDA Cores1,9205,888
Memory TypeGDDR5GDDR6X
ArchitecturePascalAda Lovelace
Form FactorsPCIePCIe
Interconnect
FP16 Performance6.5 TFLOPS29.1 TFLOPS
FP32 Performance6.5 TFLOPS29.1 TFLOPS
Memory Bandwidth256 GB/s504 GB/s

Performance Analysis

Compute performance defines the core disparity: the RTX 4070 SUPER achieves 29.1 TFLOPS in FP16 and FP32, over four times the GTX 1070's 6.5 TFLOPS in each. This delta translates to faster deep learning training, where FP16 accelerates gradient computations, and inference, supporting higher throughput for real-time predictions.

Memory bandwidth plays a critical role in workload scalability: the RTX 4070 SUPER's 504 GB/s enables larger batch sizes in memory-intensive tasks like model training, minimizing data transfer bottlenecks compared to the GTX 1070's 256 GB/s. Higher VRAM on the RTX 4070 SUPER, at 12 GB versus 8 GB, accommodates bigger models without fragmentation.

Power efficiency shifts with architecture: despite the RTX 4070 SUPER's 200W TDP exceeding the GTX 1070's 150W, its Ada Lovelace design yields superior performance per watt, ideal for sustained cloud runs.

Live Cloud Pricing

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

RTX 4070 SUPER

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4070 Ti
12GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the GTX 1070

The GTX 1070 fits scenarios constrained by 150W power budgets or legacy Pascal-optimized software. It suffices for lightweight inference on models under 8 GB VRAM, such as basic computer vision tasks, where its 6.5 TFLOPS meets minimal needs without excess cost.

When to Choose the RTX 4070 SUPER

The RTX 4070 SUPER excels in modern machine learning pipelines requiring 29.1 TFLOPS FP16/FP32 performance and 12 GB VRAM. It handles large-scale training, fine-tuning, or diffusion models efficiently, leveraging 504 GB/s bandwidth for optimal batch processing.

Use Cases

LLM Training
RTX 4070 SUPER

The RTX 4070 SUPER's 29.1 TFLOPS FP16 performance supports faster training of large language models than the GTX 1070's 6.5 TFLOPS. Its 12 GB VRAM handles bigger datasets.

LLM Inference
RTX 4070 SUPER

With 29.1 TFLOPS FP32 and 504 GB/s bandwidth, the RTX 4070 SUPER delivers higher query throughput. The GTX 1070's 6.5 TFLOPS limits scale.

Fine-tuning
RTX 4070 SUPER

RTX 4070 SUPER's 12 GB GDDR6X and 29.1 TFLOPS enable efficient fine-tuning of mid-sized models. GTX 1070's 8 GB VRAM restricts parameter counts.

Stable Diffusion
RTX 4070 SUPER

The 504 GB/s bandwidth and 29.1 TFLOPS on RTX 4070 SUPER accelerate image generation batches. GTX 1070's 256 GB/s causes slowdowns.

Scientific Computing
Either

Light simulations fit GTX 1070's 6.5 TFLOPS and 150W TDP. Demanding HPC prefers RTX 4070 SUPER's 29.1 TFLOPS.

Frequently Asked Questions

How much more powerful is the RTX 4070 SUPER than the GTX 1070?

The RTX 4070 SUPER delivers 29.1 TFLOPS in FP16 and FP32, compared to 6.5 TFLOPS on the GTX 1070. This provides approximately 4.5 times the compute performance for AI tasks.

What is the VRAM difference between GTX 1070 and RTX 4070 SUPER?

GTX 1070 has 8 GB GDDR5, while RTX 4070 SUPER offers 12 GB GDDR6X. The extra capacity supports larger models in training and inference.

Which GPU has higher memory bandwidth?

RTX 4070 SUPER achieves 504 GB/s, doubling the GTX 1070's 256 GB/s. Higher bandwidth improves batch sizes in memory-bound workloads.

What are the TDP ratings for these GPUs?

GTX 1070 uses 150W TDP, suitable for low-power setups. RTX 4070 SUPER requires 200W but offers better efficiency per watt.

Can GTX 1070 handle modern ML tasks like RTX 4070 SUPER?

GTX 1070's 6.5 TFLOPS limits it to small models within 8 GB VRAM. RTX 4070 SUPER's 29.1 TFLOPS excels in current demands.

Are there live cloud offers for these GPUs?

No live offers exist for either the GTX 1070 or RTX 4070 SUPER currently. Comparisons rely on specs like 256 GB/s versus 504 GB/s bandwidth.

Which is cheaper to rent, the GTX 1070 or the RTX 4070?

Cloud rental prices for both the GTX 1070 and RTX 4070 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 4070?

The GTX 1070 has 8 GB of GDDR5 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find GTX 1070 and RTX 4070 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 4070?

The GTX 1070 uses the Pascal architecture (2016) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 4.5x the FP16 throughput and 2.0x the memory bandwidth of the GTX 1070.

GTX 1070 vs RTX 4070 SUPER: 4.5x FP16 Gap, 12GB vs 8GB | GPUPerHour