GPU comparison

RTX 4070 vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

Ada LovelacevsAda LovelaceUpdated 33 days ago

For the most common use case of LLM inference the RTX 6000 Ada provides the stronger choice. Its 48 GB memory capacity and 364 dense FP16 TFLOPS exceed the 12 to 16 GB and 58.3 dense FP16 TFLOPS of the RTX 4070 allowing larger models to run without partitioning.

RTX 4070 listed from $0.50/GPU/hrRTX 6000 Ada listed from $0.79/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.79/hr on Massed Compute

    Deploy
  • Most providers in stock: RTX 6000 Ada (3)

    See all offers

Specifications Compared

SpecRTX 4070RTX 6000 Ada
TDP200W300W
VRAM12-16 GB48 GB
CUDA Cores5,88818,176
FP8 (dense)116.6 TFLOPS728.5 TFLOPS
Memory TypeGDDR6XGDDR6
ArchitectureAda LovelaceAda Lovelace
FP16 (dense)58.3 TFLOPS364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)233.2 TOPS728.5 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores184568
FP32 Performance29.1 TFLOPS91.1 TFLOPS
Memory Bandwidth504 GB/s960 GB/s
FP8 (with sparsity)233.2 TFLOPS1,457 TFLOPS
FP16 (with sparsity)116.6 TFLOPS728 TFLOPS
INT8 (with sparsity)466.4 TOPS1,457 TOPS

Performance Analysis

The dense FP16 figure of 58.3 TFLOPS on the RTX 4070 stands against the dense FP16 figure of 364 TFLOPS on the RTX 6000 Ada. The same pattern holds for sparse figures where the RTX 4070 reaches 116.6 TFLOPS and the RTX 6000 Ada reaches 728 TFLOPS. This gap in dense FP16 performance indicates that the RTX 6000 Ada completes mixed precision operations in fewer cycles than the RTX 4070. Memory bandwidth of 960 GB/s on the RTX 6000 Ada versus 504 GB/s on the RTX 4070 permits larger batch sizes during training or inference sessions. The FP32 to dense FP16 ratio remains consistent at two times on both cards yet the absolute throughput favors the RTX 6000 Ada for sustained workloads.

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 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Massed Computeus-central-31$0.79—Deploy
QuantaCloudus-midwest-21$0.79—Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy

3 providers in stock, 6 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

Which GPU to watchWatch the price of

Notify me when RTX 4070 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 4070

The RTX 4070 suits compact inference pipelines that fit within 12 to 16 GB of memory and operate under a 200 W power limit. Its dense FP16 rating of 58.3 TFLOPS delivers adequate throughput for smaller models where the higher bandwidth and capacity of the RTX 6000 Ada remain unused.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada fits large model training or inference that requires 48 GB of memory and 960 GB/s bandwidth. Its dense FP16 rating of 364 TFLOPS and FP32 rating of 91.1 TFLOPS accelerate workloads that exceed the 12 to 16 GB capacity of the RTX 4070.

Use Cases

LLM Training
RTX 6000 Ada

The 48 GB memory and 364 dense FP16 TFLOPS support larger batch sizes than the 12 to 16 GB and 58.3 dense FP16 TFLOPS available on the RTX 4070.

LLM Inference
RTX 6000 Ada

The 960 GB/s bandwidth and 364 dense FP16 TFLOPS enable higher throughput for models that exceed the 12 to 16 GB capacity of the RTX 4070.

Fine-tuning
RTX 6000 Ada

The 48 GB VRAM and 728 sparse FP16 TFLOPS accommodate parameter updates on models larger than those handled by the 12 to 16 GB on the RTX 4070.

Stable Diffusion
Either

Both cards deliver sufficient dense FP16 performance for typical image generation workloads with the RTX 4070 at 58.3 TFLOPS and the RTX 6000 Ada at 364 TFLOPS.

Scientific Computing
RTX 6000 Ada

The 91.1 FP32 TFLOPS and 960 GB/s bandwidth accelerate double precision adjacent tasks beyond the 29.1 FP32 TFLOPS and 504 GB/s of the RTX 4070.

Frequently Asked Questions

What are the FP32 ratings for these GPUs?▾

The RTX 4070 lists an FP32 rating of 29.1 TFLOPS. The RTX 6000 Ada lists an FP32 rating of 91.1 TFLOPS.

How do the dense FP16 figures compare?▾

The RTX 4070 reaches 58.3 dense FP16 TFLOPS. The RTX 6000 Ada reaches 364 dense FP16 TFLOPS.

What TDP values apply to each card?▾

The RTX 4070 operates at a 200 W TDP. The RTX 6000 Ada operates at a 300 W TDP.

Which GPU offers higher memory bandwidth?▾

The RTX 6000 Ada provides 960 GB/s bandwidth. The RTX 4070 provides 504 GB/s bandwidth.

Which is cheaper to rent, the RTX 4070 or the RTX 6000 Ada?▾

Cloud rental prices for both the RTX 4070 and RTX 6000 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 6000 Ada?▾

The RTX 4070 has 12 to 16 GB of GDDR6X memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find RTX 4070 and RTX 6000 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 6000 Ada?▾

The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 6.2x the dense FP16 throughput (364 vs 58.3 TFLOPS, both without sparsity) and 1.9x 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 6000 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.

Next steps