NVIDIA GeForce GTX 1660 6GB vs NVIDIA Quadro RTX 8000 48GB

The Quadro RTX 8000 delivers 13.0x the FP16 throughput of the GeForce GTX 1660 (131 vs 10 TFLOPS dense). The Quadro RTX 8000 also carries 42 GB more memory (48 GB vs 6 GB).

GeForce GTX 1660: Turing, 2019 Quadro RTX 8000: Turing, 2018
FP16 dense lead
13.0x
Quadro RTX 8000: 131 vs 10 TFLOPS
Memory
6 vs 48 GB
42 GB more for the Quadro RTX 8000
Bandwidth
192 GB/s vs 672 GB/s
Quadro RTX 8000 moves data faster
TDP
120 W vs 295 W
GeForce GTX 1660 draws 175 W less

Specifications

GeForce GTX 1660
Quadro RTX 8000
Architecture
TuringTuring
Launch Year
20192018
Form Factor
PCIePCIe
Memory
6 GB48 GB
Memory Bandwidth
192 GB/s672 GB/s
TDP
120 W295 W
Process Node
12nm12nm

Performance (TFLOPS)

GeForce GTX 1660
Quadro RTX 8000
FP64
0.2 TFlops 0.5 TFlops
FP32
5.0 TFlops 16.3 TFlops
TF32
No verified data available No verified data available
BF16
No verified data available No verified data available
FP16
10.1 TFlops 130.5 TFlops
FP8
No verified data available No verified data available
FP6
No verified data available No verified data available
FP4
No verified data available No verified data available
INT8
No verified data available261.0 TFlops

FLOPS by Precision

What actually differs

The GeForce GTX 1660 is the newer part: Turing, launched in 2019, against the Quadro RTX 8000's Turing from 2018. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the GeForce GTX 1660 against the Quadro RTX 8000: FP64 0.2 vs 0.5 TFLOPS, FP32 5 vs 16 TFLOPS, FP16 10 vs 131 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

Memory is 6 GB against 48 GB, fed at 192 GB/s versus 672 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 120 W for the GeForce GTX 1660 and 295 W for the Quadro RTX 8000. At FP32 that works out to 0.04 against 0.06 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 GTX 1660 faster than the Quadro RTX 8000?

At FP16 precision the Quadro RTX 8000 reaches 131 TFLOPS dense against 10 TFLOPS for the GeForce GTX 1660. The performance table on this page lists every published precision for both GPUs.

Which has more memory, the GeForce GTX 1660 or the Quadro RTX 8000?

The Quadro RTX 8000 carries 48 GB of memory versus 6 GB for the GeForce GTX 1660. Memory bandwidth is 192 GB/s for the GeForce GTX 1660 and 672 GB/s for the Quadro RTX 8000.

How much power do the GeForce GTX 1660 and the Quadro RTX 8000 draw?

The GeForce GTX 1660 is rated at 120 W TDP and the Quadro RTX 8000 at 295 W. On FP32 throughput per watt, the Quadro RTX 8000 is the more efficient part.

Can I rent the GeForce GTX 1660 or the Quadro RTX 8000 in the cloud?

Yes. Live cloud listings tracked by Flopper start at $0.27 per GPU hour. The rental pricing section on this page lists current providers and rates for both GPUs.

Where to Rent

NVIDIA Quadro RTX 8000 48GB

ProviderConfigurationPrice/GPU-hrChecked
Vast.ai
1× Quadro RTX 8000 48GB Community $0.27 5h ago View →
All Quadro RTX 8000 listings and price history →

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