Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-4080 |
|---|---|---|
| TDP | 230W | 320W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 3,072 | 9,728 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 304 |
| FP16 Performance | 11.2 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 448 GB/s | 717 GB/s |
Performance Analysis
Compute performance differs markedly between these GPUs: the RTX 4080 SUPER achieves 48.7 TFLOPS in FP16 and FP32, over four times the 11.2 TFLOPS of the Quadro RTX 5000. This delta accelerates deep learning training, where FP16 reduces memory use and speeds iterations by enabling larger models or batches on the newer GPU. Inference workloads similarly benefit, as higher throughput cuts latency in real-time applications like generative AI. Memory bandwidth impacts data movement critically: 717 GB/s on the RTX 4080 SUPER versus 448 GB/s on the Quadro RTX 5000 allows larger batch sizes without bottlenecks, vital for training large language models where datasets exceed cache limits. The GDDR6X memory on the RTX 4080 SUPER sustains higher rates than GDDR6, minimizing stalls in bandwidth-bound tasks. Power draw reflects this: 320W TDP on the RTX 4080 SUPER supports sustained peaks, while 230W on the Quadro RTX 5000 suits constrained setups but limits peak output. Newer Ada Lovelace architecture enhances tensor core efficiency over Turing, amplifying real-world gains in mixed-precision workflows.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
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 5000
The Quadro RTX 5000 fits certified professional applications like CAD and simulation software requiring NVIDIA's enterprise drivers and validation. Its NVLink interconnect enables multi-GPU scaling unavailable on the RTX 4080 SUPER, ideal for distributed scientific computing. Lower 230W TDP accommodates power-sensitive cloud instances or legacy workstations.
When to Choose the RTX 4080 SUPER
The RTX 4080 SUPER dominates AI and machine learning workloads with 48.7 TFLOPS FP32 performance and 717 GB/s bandwidth, enabling faster training and larger batches than the Quadro RTX 5000's 11.2 TFLOPS and 448 GB/s. At an average $0.32 per hour versus $0.82, it offers superior value for inference and generative tasks. Ada Lovelace architecture provides modern features for high-throughput compute.
Use Cases
RTX 4080 SUPER's 48.7 TFLOPS FP16 outperforms Quadro RTX 5000's 11.2 TFLOPS, accelerating large model training. Higher 717 GB/s bandwidth handles bigger datasets efficiently.
48.7 TFLOPS and 717 GB/s bandwidth on RTX 4080 SUPER reduce latency for real-time queries compared to 11.2 TFLOPS and 448 GB/s on Quadro RTX 5000.
Fourfold FP32 performance at 48.7 TFLOPS versus 11.2 TFLOPS speeds iterations on RTX 4080 SUPER. Cost savings at $0.32 per hour average enhance accessibility.
RTX 4080 SUPER's Ada architecture and 717 GB/s bandwidth generate images faster than Quadro RTX 5000's Turing limits at 448 GB/s.
Quadro RTX 5000's NVLink supports multi-GPU scaling for simulations, absent on RTX 4080 SUPER. Enterprise certification ensures stability in validated workflows.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 4080 SUPER delivers 48.7 TFLOPS in FP16 and FP32, compared to 11.2 TFLOPS on the Quadro RTX 5000. This provides over four times the throughput for ML tasks. Bandwidth also favors RTX 4080 SUPER at 717 GB/s versus 448 GB/s.
Do they have the same VRAM?▾
Both offer 16 GB VRAM, but RTX 4080 SUPER uses GDDR6X while Quadro RTX 5000 has GDDR6. The faster memory type pairs with 717 GB/s bandwidth on RTX 4080 SUPER against 448 GB/s. This aids memory-intensive models equally in capacity.
What are the cloud pricing differences?▾
Quadro RTX 5000 averages $0.82 per hour across two offers from $0.82. RTX 4080 SUPER averages $0.32 per hour across three offers from $0.17. The lower cost makes RTX 4080 SUPER more economical for extended runs.
Which has lower power consumption?▾
Quadro RTX 5000 draws 230W TDP, less than RTX 4080 SUPER's 320W. This suits power-limited environments. Performance scales with TDP, favoring RTX 4080 SUPER for high-output tasks.
What architectures do they use?▾
Quadro RTX 5000 employs 2018 Turing architecture with NVLink support. RTX 4080 SUPER uses 2022 Ada Lovelace without specified interconnect. Newer design yields 48.7 TFLOPS versus 11.2 TFLOPS.
Is RTX 4080 SUPER better for AI training?▾
Yes, with 48.7 TFLOPS FP16 and 717 GB/s bandwidth versus Quadro RTX 5000's 11.2 TFLOPS and 448 GB/s. It handles larger batches and trains faster. Pricing at $0.32 per hour adds value.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 4080?▾
Cloud rental prices for both the Quadro RTX 5000 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 5000 have compared to the RTX 4080?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find Quadro RTX 5000 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 5000 and the RTX 4080?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 4.3x the FP16 throughput and 1.6x the memory bandwidth of the Quadro RTX 5000.