GPU comparison

RTX 4070 vs RTX 5000 Ada

Specifications and current cloud pricing, side by side.

Ada LovelacevsAda LovelaceUpdated 32 days ago

The RTX 5000 Ada wins for the most common use case of large model inference. Its 32 GB memory capacity and 65.3 TFLOPS FP32 performance exceed the corresponding figures on the RTX 4070 while the bandwidth advantage of 576 GB/s over 504 GB/s improves throughput on data movement.

RTX 4070 listed from $0.50/GPU/hrRTX 5000 Ada listed from $0.55/GPU/hr

Specifications Compared

SpecRTX 4070RTX 5000 Ada
TDP200W250W
VRAM12-16 GB32 GB
CUDA Cores5,88812,800
FP8 (dense)116.6 TFLOPSNot published
Memory TypeGDDR6XGDDR6
ArchitectureAda LovelaceAda Lovelace
FP16 (dense)58.3 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)233.2 TOPSNot published
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores184400
FP32 Performance29.1 TFLOPS65.3 TFLOPS
Memory Bandwidth504 GB/s576 GB/s
FP8 (with sparsity)233.2 TFLOPS1,044.4 TFLOPS
FP16 (with sparsity)116.6 TFLOPSNot published
INT8 (with sparsity)466.4 TOPSNot published

Performance Analysis

The RTX 4070 lists FP32 performance at 29.1 TFLOPS. The RTX 5000 Ada lists FP32 performance at 65.3 TFLOPS. This difference means the RTX 5000 Ada completes FP32 workloads in roughly half the time of the RTX 4070 for the same operation count. The RTX 4070 lists dense FP16 performance at 58.3 TFLOPS. The RTX 5000 Ada does not publish dense FP16 performance. The RTX 4070 lists FP8 performance with sparsity at 233.2 TFLOPS while the RTX 5000 Ada lists FP8 performance with sparsity at 1044.4 TFLOPS. Higher memory bandwidth on the RTX 5000 Ada supports larger batch sizes than the 504 GB/s bandwidth on the RTX 4070 during memory-bound operations.

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 4070

RTX 4070 is not offered on-demand by any provider we track right now. See the RTX 4070 rental page for last-seen listed prices and a price alert.

RTX 5000 Ada

RTX 5000 Ada is not offered on-demand by any provider we track right now. See the RTX 5000 Ada rental page for last-seen listed prices and a price alert.

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When to Choose the RTX 4070

The RTX 4070 suits deployments where power draw must stay at or below 200W. Its 12-16 GB memory capacity handles inference tasks that fit within that limit without requiring the 250W TDP of the RTX 5000 Ada.

When to Choose the RTX 5000 Ada

The RTX 5000 Ada suits workloads that require 32 GB memory capacity and 65.3 TFLOPS FP32 throughput. Its 576 GB/s bandwidth further supports larger data transfers than the 504 GB/s bandwidth of the RTX 4070.

Use Cases

LLM Training
RTX 5000 Ada

The RTX 5000 Ada provides 32 GB memory and 65.3 TFLOPS FP32 performance that exceed the 12-16 GB and 29.1 TFLOPS on the RTX 4070.

LLM Inference
RTX 5000 Ada

The RTX 5000 Ada supplies 32 GB memory capacity along with 576 GB/s bandwidth that allow larger batch sizes than the 12-16 GB and 504 GB/s on the RTX 4070.

Fine-tuning
RTX 5000 Ada

The RTX 5000 Ada delivers 1044.4 TFLOPS FP8 with sparsity and 32 GB memory that support fine-tuning runs beyond the 233.2 TFLOPS FP8 with sparsity and 12-16 GB on the RTX 4070.

Stable Diffusion
RTX 4070

The RTX 4070 operates at a 200W TDP and supplies 58.3 TFLOPS dense FP16 that meet typical Stable Diffusion requirements without the 250W TDP of the RTX 5000 Ada.

Scientific Computing
RTX 5000 Ada

The RTX 5000 Ada provides 65.3 TFLOPS FP32 and 576 GB/s bandwidth that accelerate FP32 scientific workloads beyond the 29.1 TFLOPS and 504 GB/s on the RTX 4070.

Frequently Asked Questions

What is the memory difference between RTX 4070 and RTX 5000 Ada?▾

The RTX 4070 contains 12-16 GB GDDR6X memory. The RTX 5000 Ada contains 32 GB GDDR6 memory.

How does FP32 performance compare on these GPUs?▾

The RTX 4070 reaches 29.1 TFLOPS in FP32. The RTX 5000 Ada reaches 65.3 TFLOPS in FP32.

What are the power requirements for each card?▾

The RTX 4070 has a TDP of 200W. The RTX 5000 Ada has a TDP of 250W.

Which GPU offers higher memory bandwidth?▾

The RTX 5000 Ada provides 576 GB/s memory bandwidth. The RTX 4070 provides 504 GB/s memory bandwidth.

Can the RTX 4070 run FP8 workloads with sparsity?▾

The RTX 4070 lists FP8 performance with sparsity at 233.2 TFLOPS. The RTX 5000 Ada lists FP8 performance with sparsity at 1044.4 TFLOPS.

Do both GPUs use the same interconnect?▾

Both the RTX 4070 and RTX 5000 Ada use PCIe 4.0 interconnects.

Which is cheaper to rent, the RTX 4070 or the RTX 5000 Ada?▾

Cloud rental prices for both the RTX 4070 and RTX 5000 Ada 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 5000 Ada?▾

The RTX 4070 has 12 to 16 GB of GDDR6X memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.

Can I find RTX 4070 and RTX 5000 Ada 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 5000 Ada?▾

The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 5000 Ada uses Ada Lovelace (2023). The RTX 4070 has 12-16 GB of GDDR6X at 504 GB/s; the RTX 5000 Ada has 32 GB of GDDR6 at 576 GB/s, so the RTX 5000 Ada has 1.1x the memory bandwidth of the RTX 4070.

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 4070 and the RTX 5000 Ada. 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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