Quadro RTX 6000 vs RTX 4070 Ti SUPER

TuringvsAda LovelaceUpdated 35 days ago

The RTX 4070 Ti SUPER claims victory for prevalent cloud AI workloads. Its 44.1 TFLOPS FP16 and FP32 performance outpaces the Quadro RTX 6000's 16.3 TFLOPS, while $0.09 per hour pricing enables accessible rentals unavailable for the older card.

RTX 4070 Ti SUPER from $0.50/hr

Specifications Compared

SpecQUADRO-RTX-6000RTX-4070
TDP260W200W
VRAM24 GB12 GB
CUDA Cores4,6085,888
Memory TypeGDDR6GDDR6X
ArchitectureTuringAda Lovelace
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores576184
FP16 Performance16.3 TFLOPS29.1 TFLOPS
FP32 Performance16.3 TFLOPS29.1 TFLOPS
Memory Bandwidth672 GB/s504 GB/s

Performance Analysis

Compute performance differs markedly: the RTX 4070 Ti SUPER achieves 44.1 TFLOPS in FP32, surpassing the Quadro RTX 6000's 16.3 TFLOPS by a factor of 2.7. This advantage accelerates machine learning training, where higher FP16 throughput reduces iteration times, and inference, enabling more queries per second in production.

Memory bandwidth matches at 672 GB/s on both, permitting comparable batch sizes in bandwidth-limited scenarios. However, the Quadro RTX 6000's 24 GB VRAM accommodates larger models or datasets than the RTX 4070 Ti SUPER's 16 GB, preventing out-of-memory errors during fine-tuning of extensive LLMs. The Ada Lovelace design introduces efficiency gains in tensor operations, amplifying real-world AI gains beyond raw specs.

Power draw remains close, with 285W versus 260W, but newer architecture yields better performance per watt for sustained cloud loads.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

RTX 4070 Ti SUPER

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4070 Ti
12GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the Quadro RTX 6000

The Quadro RTX 6000 proves superior for memory-intensive applications: its 24 GB GDDR6 VRAM handles LLMs or simulations exceeding 16 GB thresholds. NVLink interconnect facilitates multi-GPU scaling for professional workflows like CAD or large-scale scientific computing.

Legacy professional software benefits from Quadro-optimized drivers, ensuring stability in certified environments despite lacking current cloud availability.

When to Choose the RTX 4070 Ti SUPER

The RTX 4070 Ti SUPER dominates compute-heavy tasks: 44.1 TFLOPS FP32 delivers 2.7 times the speed of the Quadro RTX 6000's 16.3 TFLOPS for training and inference. Cloud pricing from $0.09 per hour supports cost-effective, on-demand scaling.

Ada Lovelace architecture optimizes modern AI frameworks, providing future-proof efficiency at 285W TDP for gaming, rendering, or ML acceleration.

Use Cases

LLM Training
RTX 4070 Ti SUPER

The RTX 4070 Ti SUPER's 44.1 TFLOPS FP16 outperforms the Quadro RTX 6000's 16.3 TFLOPS, speeding epochs. Ada architecture enhances tensor core efficiency for large-scale training.

LLM Inference
RTX 4070 Ti SUPER

Higher 44.1 TFLOPS enables faster token generation than 16.3 TFLOPS. Cloud availability at $0.09/hr supports high-throughput deployments.

Fine-tuning
Either

Quadro RTX 6000's 24 GB VRAM fits oversized models. RTX 4070 Ti SUPER's 44.1 TFLOPS accelerates smaller fine-tuning runs.

Stable Diffusion
RTX 4070 Ti SUPER

Ada Lovelace boosts generative tasks with 44.1 TFLOPS and 672 GB/s bandwidth. Superior to Turing's 16.3 TFLOPS for image synthesis.

Scientific Computing
Quadro RTX 6000

24 GB VRAM and NVLink handle complex datasets. Outperforms 16 GB capacity in memory-bound simulations.

Frequently Asked Questions

Which GPU has more VRAM?

The Quadro RTX 6000 provides 24 GB GDDR6. The RTX 4070 Ti SUPER has 16 GB GDDR6X. Select the Quadro for models over 16 GB.

What is the FP32 performance difference?

RTX 4070 Ti SUPER reaches 44.1 TFLOPS FP32. Quadro RTX 6000 delivers 16.3 TFLOPS. This yields 2.7 times faster compute on the newer GPU.

Which has cloud pricing?

RTX 4070 Ti SUPER offers from $0.09/hr, averaging $0.17/hr across two providers. Quadro RTX 6000 has no live offers.

What are the memory bandwidths?

Both GPUs achieve 672 GB/s. Quadro RTX 6000 uses GDDR6; RTX 4070 Ti SUPER employs GDDR6X for sustained transfers.

Does the Quadro RTX 6000 support NVLink?

Yes, it includes NVLink for multi-GPU links. RTX 4070 Ti SUPER lacks listed interconnect support.

Compare their TDPs and architectures.

Quadro RTX 6000 TDP is 260W on Turing 2018. RTX 4070 Ti SUPER TDP is 285W on Ada Lovelace 2024.

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

Cloud rental prices for both the Quadro RTX 6000 and RTX 4070 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 Quadro RTX 6000 have compared to the RTX 4070?

The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find Quadro RTX 6000 and RTX 4070 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 Quadro RTX 6000 and the RTX 4070?

The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.8x the FP16 throughput and 1.3x the memory bandwidth of the Quadro RTX 6000.

Quadro RTX 6000 vs RTX 4070 Ti SUPER: 24GB vs 12GB | GPUPerHour