Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-4080 |
|---|---|---|
| TDP | 260W | 320W |
| VRAM | 48 GB | 16 GB |
| CUDA Cores | 4,608 | 9,728 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 304 |
| FP16 Performance | 16.3 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 672 GB/s | 717 GB/s |
Performance Analysis
The RTX 4080 SUPER achieves 48.7 TFLOPS in both FP16 and FP32, tripling the Quadro RTX 8000's 16.3 TFLOPS: this boosts training throughput for deep learning models by roughly three times and accelerates inference latencies. In real-world terms, training a large language model completes faster on the Ada Lovelace GPU, minimizing rental hours at $0.17 per hour rates.
VRAM capacity presents the key tradeoff: 48 GB on the Quadro RTX 8000 supports larger batch sizes for models exceeding 16 GB, preventing out-of-memory errors in fine-tuning or simulations. The RTX 4080 SUPER counters with 717 GB/s bandwidth over 672 GB/s, enhancing data throughput for memory-fitting workloads but limiting massive datasets. Higher 320W TDP reflects denser compute density on the newer chip.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro RTX 8000
Select the Quadro RTX 8000 for memory-intensive applications like loading 48 GB datasets in scientific computing or multi-GPU setups via NVLink. Its 48 GB GDDR6 VRAM exceeds the RTX 4080 SUPER's 16 GB limit, enabling larger models without splitting across instances.
When to Choose the RTX 4080 SUPER
Opt for the RTX 4080 SUPER in compute-heavy scenarios such as LLM inference or Stable Diffusion, where 48.7 TFLOPS triples the Quadro RTX 8000's 16.3 TFLOPS for rapid results. Availability from $0.17 per hour and 717 GB/s bandwidth make it economical for scalable cloud deployments.
Use Cases
The RTX 4080 SUPER's 48.7 TFLOPS triples the Quadro RTX 8000's 16.3 TFLOPS for faster training cycles. Models fitting within 16 GB VRAM benefit most from this compute edge.
48.7 TFLOPS FP16 performance on the RTX 4080 SUPER reduces inference latency compared to 16.3 TFLOPS on the Quadro RTX 8000. Bandwidth of 717 GB/s supports high-throughput serving.
48 GB VRAM on the Quadro RTX 8000 accommodates larger batch sizes for fine-tuning oversized models that exceed the RTX 4080 SUPER's 16 GB. NVLink aids multi-GPU configurations.
RTX 4080 SUPER's 48.7 TFLOPS and 717 GB/s bandwidth accelerate image generation over the Quadro RTX 8000's 16.3 TFLOPS. 16 GB suffices for typical diffusion model pipelines.
Quadro RTX 8000's 48 GB VRAM handles massive simulation datasets beyond 16 GB on the RTX 4080 SUPER. NVLink enables efficient multi-node scaling.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 8000 or RTX 4080 SUPER?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, surpassing the RTX 4080 SUPER's 16 GB GDDR6X. This favors the Quadro for large-model workloads.
How do FP32 performance levels compare between Quadro RTX 8000 and RTX 4080 SUPER?▾
RTX 4080 SUPER delivers 48.7 TFLOPS FP32, three times the Quadro RTX 8000's 16.3 TFLOPS. This translates to faster training and inference on the newer GPU.
What is the memory bandwidth difference?▾
RTX 4080 SUPER offers 717 GB/s, slightly above the Quadro RTX 8000's 672 GB/s. Bandwidth aids data-heavy tasks but VRAM capacity dominates comparisons.
What are the cloud pricing details for these GPUs?▾
RTX 4080 SUPER starts at $0.17 per hour, averaging $0.32 per hour across three offers. No live offers exist for Quadro RTX 8000 currently.
Which has lower TDP: Quadro RTX 8000 or RTX 4080 SUPER?▾
Quadro RTX 8000 consumes 260W TDP, lower than the RTX 4080 SUPER's 320W. Both fit PCIe slots, but the Quadro suits power-constrained environments.
Does Quadro RTX 8000 support NVLink?▾
Yes, Quadro RTX 8000 includes NVLink interconnects for multi-GPU communication. RTX 4080 SUPER lacks this feature.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 4080?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 4080 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 4080?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find Quadro RTX 8000 and RTX 4080 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 4080?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 3.0x the FP16 throughput and 1.1x the memory bandwidth of the Quadro RTX 8000.