Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-4070 |
|---|---|---|
| TDP | 260W | 200W |
| VRAM | 48 GB | 12 GB |
| CUDA Cores | 4,608 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 184 |
| FP16 Performance | 16.3 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 672 GB/s | 504 GB/s |
Performance Analysis
Compute throughput defines primary differences: the RTX 4070's 29.1 TFLOPS in FP16 and FP32 accelerates training and inference by approximately 78 percent over the Quadro RTX 8000's 16.3 TFLOPS. For deep learning, this means shorter epochs in training and lower latency in inference on the RTX 4070, especially in FP16-optimized models common in modern AI.
VRAM capacity impacts model scale: 48 GB on the Quadro RTX 8000 supports massive datasets or large language models without offloading, enabling batch sizes up to four times larger than the RTX 4070's 12 GB limit. Memory bandwidth reinforces this, with 672 GB/s on the Quadro versus 504 GB/s on the RTX 4070, reducing bottlenecks for memory-intensive operations like gradient accumulation.
Architectural advances in Ada Lovelace provide the RTX 4070 with improved tensor core efficiency despite lower TDP of 200W, contrasting the Quadro's 260W. NVLink on the Quadro aids multi-GPU scaling, unavailable on the RTX 4070.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 excels in scenarios demanding extreme VRAM, such as training or fine-tuning large language models exceeding 12 GB. Its 48 GB GDDR6 and 672 GB/s bandwidth handle oversized batches, while NVLink enables efficient multi-GPU configurations for distributed workloads. Users with access to on-premises hardware favor it over cloud alternatives lacking live offers.
When to Choose the RTX 4070
The RTX 4070 suits cost-conscious cloud deployments with its 29.1 TFLOPS FP16/FP32 performance and pricing from $0.07 per hour across nine offers. Lower 200W TDP reduces operational costs, and Ada Lovelace architecture optimizes inference and fine-tuning for mid-sized models fitting within 12 GB VRAM. Availability makes it practical for rapid prototyping.
Use Cases
The Quadro RTX 8000's 48 GB VRAM accommodates massive models and large batches that exceed the RTX 4070's 12 GB limit. Its 672 GB/s bandwidth minimizes memory bottlenecks during gradient computations.
RTX 4070's 29.1 TFLOPS in FP16 delivers 78 percent faster inference than the Quadro RTX 8000's 16.3 TFLOPS. Cloud pricing from $0.07 per hour supports scalable serving.
Higher 29.1 TFLOPS on RTX 4070 speeds up fine-tuning iterations compared to 16.3 TFLOPS on Quadro RTX 8000. 12 GB VRAM suffices for most adapters fitting under that threshold.
Quadro RTX 8000's 48 GB VRAM handles high-resolution generations, while RTX 4070's 29.1 TFLOPS accelerates diffusion steps. Choice depends on image size versus speed needs.
NVLink interconnect on Quadro RTX 8000 enables multi-GPU simulations requiring data sharing beyond single-card limits. 48 GB VRAM supports large datasets in HPC workloads.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 8000 or RTX 4070?▾
The Quadro RTX 8000 offers 48 GB GDDR6 VRAM, far exceeding the RTX 4070's 12 GB GDDR6X. This makes the Quadro better for memory-heavy tasks. Bandwidth also favors Quadro at 672 GB/s versus 504 GB/s.
How do FP32 performance levels compare?▾
RTX 4070 achieves 29.1 TFLOPS FP32, doubling the Quadro RTX 8000's 16.3 TFLOPS. This results in faster general-purpose computing on RTX 4070. FP16 matches this delta at identical rates per GPU.
What is the power consumption difference?▾
Quadro RTX 8000 has a 260W TDP, higher than RTX 4070's 200W. Lower TDP on RTX 4070 cuts cloud costs. Both use PCIe form factors.
Does Quadro RTX 8000 support multi-GPU linking?▾
Yes, via NVLink interconnect, unlike the RTX 4070. This aids scaling for large simulations. RTX 4070 lacks specified interconnect.
What are the cloud pricing details for RTX 4070?▾
RTX 4070 starts at $0.07 per hour, averaging $0.19 per hour across nine live offers. Quadro RTX 8000 has no current offers. Pricing favors RTX 4070 for rentals.
Which architecture is newer?▾
RTX 4070 uses Ada Lovelace from 2023, versus Turing 2018 on Quadro RTX 8000. Newer architecture brings efficiency gains. Compute jumps from 16.3 to 29.1 TFLOPS.
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.