RTX 4070 SUPER vs RTX 5070

Ada LovelacevsBlackwellUpdated 35 days ago

The RTX 5070 claims victory for prevalent cloud AI tasks on gpuperhour.com: 40.6 TFLOPS compute trumps the RTX 4070 SUPER's 29.1 TFLOPS by 39%, driving faster training and inference value. Bandwidth edge on the older GPU matters less than raw FLOPS in most rentals, with immediate pricing from $0.08 per hour sealing the choice.

RTX 4070 SUPER from $0.50/hr

Specifications Compared

SpecRTX-4070RTX-5070
TDP200W250W
VRAM12 GB12 GB
CUDA Cores5,8886,144
Memory TypeGDDR6XGDDR7
ArchitectureAda LovelaceBlackwell
Form FactorsPCIePCIe
Interconnect
Tensor Cores184192
FP16 Performance29.1 TFLOPS40.6 TFLOPS
FP32 Performance29.1 TFLOPS40.6 TFLOPS
INT8 Performance466 TOPS650 TOPS
Memory Bandwidth504 GB/s448 GB/s

Performance Analysis

The RTX 5070 demonstrates clear compute superiority: its 40.6 TFLOPS in FP16 and FP32 exceeds the RTX 4070 SUPER's 29.1 TFLOPS by 39%. This advantage accelerates AI training cycles and inference throughput, as FP16 tensor cores handle deep learning operations more rapidly on the newer GPU.

Memory bandwidth favors the RTX 4070 SUPER at 504 GB/s over the RTX 5070's 448 GB/s, a 12% edge that supports larger batch sizes in memory-bound tasks without stalling data feeds to the 12 GB VRAM. Lower bandwidth on the RTX 5070 could limit scalability in high-throughput training scenarios despite GDDR7's potential efficiency gains.

TDP rises to 250W on the RTX 5070 from 200W, increasing power needs by 25% and potentially elevating cloud runtime costs, though Blackwell optimizations may offset this in sustained workloads.

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 RTX 4070 SUPER

The RTX 4070 SUPER stands out for bandwidth-sensitive applications: its 504 GB/s exceeds the RTX 5070's 448 GB/s, enabling smoother handling of large datasets and bigger batches in inference or simulations. The 200W TDP, 25% lower than the RTX 5070's 250W, conserves energy in prolonged cloud sessions or power-limited setups. It suits users awaiting pricing drops on Ada Lovelace hardware.

When to Choose the RTX 5070

Opt for the RTX 5070 in compute-intensive environments: 40.6 TFLOPS FP16/FP32 performance outpaces the RTX 4070 SUPER's 29.1 TFLOPS by 39%, speeding LLM training and fine-tuning. Blackwell architecture enhances AI-specific accelerations, and cloud access starts at $0.08 per hour. It future-proofs investments despite the 448 GB/s bandwidth.

Use Cases

LLM Training
RTX 5070

RTX 5070's 40.6 TFLOPS FP16 outperforms RTX 4070 SUPER's 29.1 TFLOPS by 39%, reducing training epochs. Higher compute handles large models within 12 GB VRAM.

LLM Inference
Either

Both GPUs provide 12 GB VRAM for typical inference needs. Select based on bandwidth for batch size or compute for speed.

Fine-tuning
RTX 5070

RTX 5070 accelerates iterations with 40.6 TFLOPS versus 29.1 TFLOPS. Blackwell features optimize parameter updates.

Stable Diffusion
RTX 5070

40.6 TFLOPS on RTX 5070 boosts image generation speed over 29.1 TFLOPS. Newer architecture aids denoising processes.

Scientific Computing
RTX 4070 SUPER

RTX 4070 SUPER's 504 GB/s bandwidth surpasses 448 GB/s, aiding data-heavy simulations. Lower 200W TDP fits long runs.

Frequently Asked Questions

Which GPU offers higher compute performance?

The RTX 5070 provides 40.6 TFLOPS in FP16 and FP32, 39% above the RTX 4070 SUPER's 29.1 TFLOPS. This benefits training and inference tasks. Ratings match within each GPU for FP16 and FP32.

How do memory bandwidths compare?

RTX 4070 SUPER delivers 504 GB/s, exceeding RTX 5070's 448 GB/s by 12%. Higher bandwidth supports larger batches. Both use 12 GB VRAM.

What are the TDP differences?

RTX 4070 SUPER requires 200W TDP, lower than RTX 5070's 250W by 25%. This lowers power costs for the older model. Cooling needs scale accordingly.

Which has better VRAM type?

RTX 5070 uses 12 GB GDDR7, newer than RTX 4070 SUPER's GDDR6X. Bandwidth is 448 GB/s versus 504 GB/s. Capacity matches at 12 GB.

Is cloud pricing available for these GPUs?

RTX 5070 offers start at $0.08 per hour, averaging $0.16 per hour over two providers. RTX 4070 SUPER has no live offers currently.

What architectures power these GPUs?

RTX 4070 SUPER employs Ada Lovelace from 2023. RTX 5070 adopts Blackwell in 2025. The shift boosts AI capabilities.

Which is cheaper to rent, the RTX 4070 or the RTX 5070?

Cloud rental prices for both the RTX 4070 and RTX 5070 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 4070 have compared to the RTX 5070?

The RTX 4070 has 12 GB of GDDR6X memory. The RTX 5070 has 12 GB of GDDR7 memory.

Can I find RTX 4070 and RTX 5070 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 4070 and the RTX 5070?

The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 1.4x the FP16 throughput and 1.1x the memory bandwidth of the RTX 4070.

RTX 4070 SUPER vs RTX 5070: 12GB vs 12GB | GPUPerHour