Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-5080 |
|---|---|---|
| TDP | 230W | 360W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 3,072 | 10,752 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Turing | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 336 |
| FP16 Performance | 11.2 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 56.3 TFLOPS |
| Memory Bandwidth | 448 GB/s | 960 GB/s |
Performance Analysis
The RTX 5080 dominates raw compute with 56.3 TFLOPS in both FP16 and FP32, compared to the Quadro RTX 5000's 11.2 TFLOPS: this fivefold advantage accelerates machine learning training where FP16 precision suffices. For inference, higher FP32 throughput on the RTX 5080 enables faster model evaluations on large datasets, reducing latency in production environments.
Memory bandwidth marks a key divide: 960 GB/s on the RTX 5080 versus 448 GB/s on the Quadro RTX 5000 supports larger batch sizes in training, minimizing data bottlenecks during gradient computations. Both hold 16 GB VRAM, but GDDR7 on the newer card sustains higher throughputs without spilling to system memory.
Power draw reflects capabilities: the RTX 5080's 360W TDP demands robust cooling, while the Quadro RTX 5000's 230W suits constrained setups. In real-world AI pipelines, the RTX 5080 cuts training times proportionally to its TFLOPS edge, though software optimization for Blackwell may lag initial Turing maturity.
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 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 fits scenarios requiring NVLink interconnect for multi-GPU professional visualization or certified CAD workflows. Its 230W TDP enables deployment in power-limited cloud instances without thermal throttling.
Opt for it when legacy Turing-optimized software demands stability over peak speed, especially at $0.82 per hour where only two offers exist for reliable professional-grade access.
When to Choose the RTX 5080
Choose the RTX 5080 for compute-intensive AI tasks leveraging its 56.3 TFLOPS FP16 performance and 960 GB/s bandwidth. At $0.25 per hour starting price across four offers, it delivers superior value for training and inference.
Its Blackwell architecture excels in modern frameworks optimized for post-2025 features, justifying the 360W TDP in high-density cloud racks.
Use Cases
The RTX 5080's 56.3 TFLOPS FP16 outperforms the Quadro RTX 5000's 11.2 TFLOPS, enabling faster convergence on large models. Higher 960 GB/s bandwidth supports bigger batches without bottlenecks.
56.3 TFLOPS FP32 on the RTX 5080 reduces latency versus 11.2 TFLOPS on the Quadro RTX 5000. GDDR7 memory sustains high query volumes.
RTX 5080's fivefold compute edge accelerates iterations, with 16 GB VRAM matching needs. Bandwidth advantage minimizes data loading delays.
Blackwell's 56.3 TFLOPS FP16 boosts generation speeds over Turing's 11.2 TFLOPS. 960 GB/s bandwidth handles high-resolution textures efficiently.
Quadro RTX 5000's NVLink aids multi-GPU simulations; RTX 5080's raw power suits single-node FP32 tasks at lower cost.
Frequently Asked Questions
Which GPU has higher performance?▾
The RTX 5080 leads with 56.3 TFLOPS in FP16 and FP32, versus the Quadro RTX 5000's 11.2 TFLOPS. This provides over five times the compute capacity for AI workloads.
How do memory specs compare?▾
Both offer 16 GB VRAM, but the RTX 5080 uses GDDR7 at 960 GB/s bandwidth while the Quadro RTX 5000 has GDDR6 at 448 GB/s. Higher bandwidth benefits data-heavy tasks.
What are the cloud rental prices?▾
Quadro RTX 5000 starts at $0.82 per hour averaging $0.82 across two offers. RTX 5080 begins at $0.25 per hour averaging $0.38 across four offers.
Which has lower power consumption?▾
The Quadro RTX 5000 draws 230W TDP, lower than the RTX 5080's 360W. This suits power-constrained environments.
What architectures do they use?▾
Quadro RTX 5000 employs Turing from 2018 with NVLink. RTX 5080 uses Blackwell from 2025.
Are interconnects different?▾
Quadro RTX 5000 supports NVLink for multi-GPU scaling. RTX 5080 lists no interconnect.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 5080?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 5080 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 5080?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find Quadro RTX 5000 and RTX 5080 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 5080?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 5.0x the FP16 throughput and 2.1x the memory bandwidth of the Quadro RTX 5000.