GPU comparison

RTX 4000 Ada vs RTX 5070

Specifications and current cloud pricing, side by side.

Ada LovelacevsBlackwellUpdated 33 days ago

The RTX 5070 wins for the most common use case of dense FP16 workloads because it alone publishes a dense FP16 rating of 61.7 TFLOPS together with 672 GB/s bandwidth that supports larger batches than the 360 GB/s available on the RTX 4000 Ada.

RTX 4000 Ada listed from $0.28/GPU/hrRTX 5070 listed from $0.17/GPU/hr

Specifications Compared

SpecRTX 4000 AdaRTX 5070
TDP130W250W
VRAM20 GB12-16 GB
CUDA Cores6,1446,144
FP4 (dense)Not published493.9 TFLOPS
FP8 (dense)Not published123.5 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureAda LovelaceBlackwell
FP16 (dense)Not published61.7 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published246.9 TOPS
InterconnectPCIe 4.0PCIe 5.0
Tensor Cores192192
FP32 Performance26.7 TFLOPS30.9 TFLOPS
Memory Bandwidth360 GB/s672 GB/s
FP4 (with sparsity)Not published987.8 TFLOPS
FP8 (with sparsity)427.6 TFLOPS246.9 TFLOPS
FP16 (with sparsity)Not published123.5 TFLOPS
INT8 (with sparsity)Not published493.9 TOPS

Performance Analysis

The FP32 rating of 26.7 TFLOPS on the RTX 4000 Ada sits below the 30.9 TFLOPS rating on the RTX 5070 and this gap affects throughput in single precision workloads. Memory bandwidth of 360 GB/s versus 672 GB/s limits batch sizes on the RTX 4000 Ada relative to the RTX 5070 during data intensive operations. FP8 performance with sparsity reaches 427.6 TFLOPS on the RTX 4000 Ada compared with 246.9 TFLOPS on the RTX 5070 so sparse FP8 workloads favor the earlier card on this metric alone. Dense FP16 performance measures 61.7 TFLOPS on the RTX 5070 while no dense FP16 figure appears for the RTX 4000 Ada. Sparse FP16 performance on the RTX 5070 reaches 123.5 TFLOPS. The higher TDP of 250W on the RTX 5070 accompanies these elevated dense and sparse ratings relative to the 130W TDP on the RTX 4000 Ada.

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 4000 Ada

RTX 4000 Ada is not offered on-demand by any provider we track right now. See the RTX 4000 Ada rental page for last-seen listed prices and a price alert.

RTX 5070

RTX 5070 is not offered on-demand by any provider we track right now. See the RTX 5070 rental page for last-seen listed prices and a price alert.

Which GPU to watchWatch the price of

Notify me when RTX 4000 Ada drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the RTX 4000 Ada

The RTX 4000 Ada suits environments that require 20 GB of memory and a 130W TDP limit. Its FP8 rating with sparsity of 427.6 TFLOPS exceeds the corresponding 246.9 TFLOPS figure on the RTX 5070 so sparse FP8 tasks benefit from selection of the RTX 4000 Ada.

When to Choose the RTX 5070

The RTX 5070 suits environments that require 672 GB/s bandwidth and dense FP16 performance of 61.7 TFLOPS. Its FP32 rating of 30.9 TFLOPS exceeds the 26.7 TFLOPS rating on the RTX 4000 Ada so single precision workloads benefit from selection of the RTX 5070.

Use Cases

LLM Training
RTX 5070

Dense FP16 performance of 61.7 TFLOPS on the RTX 5070 exceeds any published figure for the RTX 4000 Ada while 672 GB/s bandwidth supports larger batches than 360 GB/s.

LLM Inference
RTX 5070

FP32 performance of 30.9 TFLOPS on the RTX 5070 exceeds 26.7 TFLOPS on the RTX 4000 Ada and PCIe 5.0 interconnect provides higher throughput than PCIe 4.0.

Fine-tuning
RTX 4000 Ada

FP8 performance with sparsity of 427.6 TFLOPS on the RTX 4000 Ada exceeds 246.9 TFLOPS on the RTX 5070 and 20 GB memory capacity exceeds the 12 to 16 GB range.

Stable Diffusion
RTX 5070

Memory bandwidth of 672 GB/s on the RTX 5070 exceeds 360 GB/s on the RTX 4000 Ada and FP32 rating of 30.9 TFLOPS exceeds 26.7 TFLOPS.

Scientific Computing
RTX 4000 Ada

TDP of 130W on the RTX 4000 Ada remains lower than 250W on the RTX 5070 while FP8 performance with sparsity reaches 427.6 TFLOPS.

Frequently Asked Questions

How does FP32 performance compare between the two GPUs?▾

FP32 performance measures 26.7 TFLOPS on the RTX 4000 Ada and 30.9 TFLOPS on the RTX 5070. The higher figure belongs to the RTX 5070.

What is the TDP of each GPU?▾

TDP reaches 130W on the RTX 4000 Ada and 250W on the RTX 5070. The lower power draw belongs to the RTX 4000 Ada.

What FP8 performance with sparsity does each card deliver?▾

FP8 performance with sparsity measures 427.6 TFLOPS on the RTX 4000 Ada and 246.9 TFLOPS on the RTX 5070. The higher sparse FP8 rating belongs to the RTX 4000 Ada.

Which interconnect does the RTX 5070 use?▾

The RTX 5070 uses PCIe 5.0 interconnect. The RTX 4000 Ada uses PCIe 4.0 interconnect.

Which is cheaper to rent, the RTX 4000 Ada or the RTX 5070?▾

Cloud rental prices for both the RTX 4000 Ada 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 4000 Ada have compared to the RTX 5070?▾

The RTX 4000 Ada has 20 GB of GDDR6 memory. The RTX 5070 has 12 to 16 GB of GDDR7 memory.

Can I find RTX 4000 Ada 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 4000 Ada and the RTX 5070?▾

The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the RTX 5070 uses Blackwell (2025). The RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s; the RTX 5070 has 12-16 GB of GDDR7 at 672 GB/s, so the RTX 5070 has 1.9x the memory bandwidth of the RTX 4000 Ada.

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 4000 Ada and the RTX 5070. 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.

Next steps