NVIDIA GeForce RTX 4070 12GB vs NVIDIA RTX 6000 Ada 48GB

The RTX 6000 Ada delivers 6.2x the FP8 throughput of the GeForce RTX 4070 (729 vs 117 TFLOPS dense). The RTX 6000 Ada also carries 36 GB more memory (48 GB vs 12 GB).

GeForce RTX 4070: Ada Lovelace, 2023 RTX 6000 Ada: Ada Lovelace, 2023
FP8 dense lead
6.2x
RTX 6000 Ada: 729 vs 117 TFLOPS
VRAM
12 vs 48 GB
36 GB more for the RTX 6000 Ada
Bandwidth
504 GB/s vs 960 GB/s
RTX 6000 Ada moves data faster
TDP
200 W vs 300 W
GeForce RTX 4070 draws 100 W less

Specifications

GeForce RTX 4070
RTX 6000 Ada
Architecture
Ada LovelaceAda Lovelace
Launch Year
20232023
Form Factor
PCIePCIe
VRAM
12 GB48 GB
Memory Bandwidth
504 GB/s960 GB/s
TDP
200 W300 W
Process Node
4nm4nm

Performance (TFLOPS)

GeForce RTX 4070
RTX 6000 Ada
FP64
0.5 TFlops No verified data available
FP32
29.1 TFlops 91.1 TFlops
TF32
29.1 TFlops
58.2 TFLOPS sparse
No verified data available
BF16
58.3 TFlops
116.6 TFLOPS sparse
No verified data available
FP16
58.3 TFlops
116.6 TFLOPS sparse
No verified data available
FP8
116.6 TFlops
233.2 TFLOPS sparse
728.5 TFlops
1457.0 TFLOPS sparse
FP6
No verified data available No verified data available
FP4
No verified data available No verified data available
INT8
233.2 TFlops
466.4 TOPS sparse
No verified data available

FLOPS by Precision

What actually differs

Both GPUs launched in 2023: the GeForce RTX 4070 on Ada Lovelace and the RTX 6000 Ada on Ada Lovelace.

Dense throughput for the GeForce RTX 4070 against the RTX 6000 Ada: FP32 29 vs 91 TFLOPS, FP8 117 vs 729 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 12 GB against 48 GB, fed at 504 GB/s versus 960 GB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.

Power budgets are 200 W for the GeForce RTX 4070 and 300 W for the RTX 6000 Ada. At FP32 that works out to 0.15 against 0.30 TFLOPS per watt.

For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.

Frequently asked questions

Is the GeForce RTX 4070 faster than the RTX 6000 Ada?

At FP8 precision the RTX 6000 Ada reaches 729 TFLOPS dense against 117 TFLOPS for the GeForce RTX 4070. The performance table on this page lists every published precision for both GPUs.

Which has more memory, the GeForce RTX 4070 or the RTX 6000 Ada?

The RTX 6000 Ada carries 48 GB of VRAM versus 12 GB for the GeForce RTX 4070. Memory bandwidth is 504 GB/s for the GeForce RTX 4070 and 960 GB/s for the RTX 6000 Ada.

How much power do the GeForce RTX 4070 and the RTX 6000 Ada draw?

The GeForce RTX 4070 is rated at 200 W TDP and the RTX 6000 Ada at 300 W. On FP32 throughput per watt, the RTX 6000 Ada is the more efficient part.

Can I rent the GeForce RTX 4070 or the RTX 6000 Ada in the cloud?

Yes. Live cloud listings tracked by Flopper start at $0.07 per GPU hour. The rental pricing section on this page lists current providers and rates for both GPUs.

Where to Rent

NVIDIA GeForce RTX 4070 12GB

ProviderConfigurationPrice/GPU-hrChecked
Vast.ai
1× GeForce RTX 4070 12GB Community $0.07 1h ago View →
All GeForce RTX 4070 listings and price history →

NVIDIA RTX 6000 Ada 48GB

ProviderConfigurationPrice/GPU-hrChecked
Vast.ai
4× RTX 6000 Ada 48GB Community $0.49 1h ago View →
DataCrunch
1× RTX 6000 Ada 48GB Spot $0.52 1h ago View →
RunPod
1× RTX 6000 Ada 48GB Community $0.74 1h ago View →
RunPod
1× RTX 6000 Ada 48GB $0.84 1h ago View →
Massed Compute
4× RTX 6000 Ada 48GB $0.97 1h ago View →
DataCrunch
1× RTX 6000 Ada 48GB $1.04 1h ago View →
AceCloud
1× RTX 6000 Ada 48GB $1.14 1h ago View →
DigitalOcean
1× RTX 6000 Ada 48GB $1.57 1h ago View →
All RTX 6000 Ada listings and price history →

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