Quadro RTX 8000 vs RTX 4070 SUPER

TuringvsAda LovelaceUpdated 35 days ago

The RTX 4070 SUPER wins for common use cases like LLM inference and fine-tuning: 35.5 TFLOPS FP16/FP32 crushes the Quadro RTX 8000's 16.3 TFLOPS while using less power at 220 W versus 260 W. Newer architecture seals its edge unless 48 GB VRAM is essential.

RTX 4070 SUPER from $0.50/hr

Specifications Compared

SpecQUADRO-RTX-8000RTX-4070
TDP260W200W
VRAM48 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

The RTX 4070 SUPER holds a clear compute advantage: its 35.5 TFLOPS in FP16 and FP32 more than doubles the Quadro RTX 8000's 16.3 TFLOPS. This benefits training and inference of models fitting in 12 GB VRAM, accelerating FP16 deep learning iterations and FP32 simulations by over 100 percent in compute-bound scenarios.

Memory specs favor the Quadro RTX 8000, where 48 GB VRAM supports larger models and batch sizes than 12 GB allows. Its 672 GB/s bandwidth exceeds 504 GB/s, minimizing bottlenecks in data transfers for high-batch training or large dataset processing. Newer Ada Lovelace efficiency enhances RTX 4070 SUPER per-watt performance at 220 W TDP versus 260 W.

Live Cloud Pricing

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

RTX 4070 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 8000

The Quadro RTX 8000 suits workloads needing 48 GB VRAM, such as training massive LLMs or handling datasets exceeding 12 GB limits. NVLink enables multi-GPU scaling for distributed systems. Memory bandwidth of 672 GB/s supports high-throughput professional visualization and simulation.

When to Choose the RTX 4070 SUPER

The RTX 4070 SUPER performs best for inference, fine-tuning, and generation tasks within 12 GB VRAM, delivering 35.5 TFLOPS at 220 W TDP for efficient cloud deploys. Ada Lovelace architecture optimizes modern AI frameworks. It outperforms in speed-sensitive single-GPU applications.

Use Cases

LLM Training
Quadro RTX 8000

Quadro RTX 8000's 48 GB VRAM and 672 GB/s bandwidth handle large models and batches infeasible on RTX 4070 SUPER's 12 GB.

LLM Inference
RTX 4070 SUPER

RTX 4070 SUPER's 35.5 TFLOPS FP16 accelerates inference for models under 12 GB far beyond 16.3 TFLOPS on Quadro RTX 8000.

Fine-tuning
RTX 4070 SUPER

Higher 35.5 TFLOPS and Ada Lovelace features speed fine-tuning efficiently within 12 GB VRAM limits.

Stable Diffusion
RTX 4070 SUPER

Ada architecture and 35.5 TFLOPS deliver superior image generation performance over Turing's 16.3 TFLOPS.

Scientific Computing
Either

Quadro RTX 8000 for 48 GB VRAM in large FP32 simulations; RTX 4070 SUPER for 35.5 TFLOPS compute in smaller datasets.

Frequently Asked Questions

Which GPU has more VRAM?

Quadro RTX 8000 provides 48 GB GDDR6 VRAM versus 12 GB GDDR6X on RTX 4070 SUPER. This enables larger models on the Quadro. No live cloud offers exist for either.

What are the FP32 performance specs?

RTX 4070 SUPER achieves 35.5 TFLOPS FP32, doubling Quadro RTX 8000's 16.3 TFLOPS. FP16 matches these figures on both. Bandwidth stands at 504 GB/s versus 672 GB/s.

Which consumes less power?

RTX 4070 SUPER's 220 W TDP is lower than Quadro RTX 8000's 260 W. This yields better efficiency for dense deployments. Compute gains amplify per-watt value.

Does Quadro RTX 8000 support multi-GPU links?

Quadro RTX 8000 features NVLink interconnect, unlike RTX 4070 SUPER. This aids scaling in professional setups. VRAM of 48 GB complements such configurations.

Which architecture is newer?

RTX 4070 SUPER uses Ada Lovelace from 2023, succeeding Turing 2018 on Quadro RTX 8000. It offers tensor core improvements. Memory capacity differentiates at 12 GB versus 48 GB.

Better for large model training?

Quadro RTX 8000 excels with 48 GB VRAM and 672 GB/s bandwidth for oversized models. RTX 4070 SUPER suits smaller ones at 35.5 TFLOPS. Choice hinges on VRAM needs.

Which is cheaper to rent, the Quadro RTX 8000 or the RTX 4070?

Cloud rental prices for both the Quadro RTX 8000 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 8000 have compared to the RTX 4070?

The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find Quadro RTX 8000 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 8000 and the RTX 4070?

The Quadro RTX 8000 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 8000.

Quadro RTX 8000 vs RTX 4070 SUPER: 48GB vs 12GB | GPUPerHour