Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-2080 |
|---|---|---|
| TDP | 260W | 215W |
| VRAM | 48 GB | 8-11 GB |
| CUDA Cores | 4,608 | 2,944 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 576 | 368 |
| FP16 Performance | 16.3 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 10.1 TFLOPS |
| Memory Bandwidth | 672 GB/s | 616 GB/s |
Performance Analysis
The Quadro RTX 8000's 16.3 TFLOPS FP16 and FP32 performance exceeds the RTX 2080's 10.1 TFLOPS by 61 percent, accelerating neural network training and inference where half-precision computations dominate. This delta translates to faster convergence in training loops and higher throughput in inference serving, particularly for models leveraging mixed precision.
VRAM capacity defines a key disparity: 48 GB on the Quadro RTX 8000 supports batch sizes up to six times larger than the RTX 2080's 8-11 GB, reducing overhead from gradient accumulation in memory-constrained fine-tuning. Higher memory bandwidth of 672 GB/s versus 616 GB/s minimizes bottlenecks during large matrix multiplications, enabling sustained performance in data-heavy scientific simulations.
Power draw reflects efficiency trade-offs, with the Quadro RTX 8000 at 260W TDP compared to 215W on the RTX 2080, implying 21 percent higher consumption for superior capability in prolonged workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 excels in memory-intensive scenarios such as training large language models exceeding 11 GB, where its 48 GB GDDR6 VRAM prevents out-of-memory errors. Professionals in scientific computing benefit from 672 GB/s bandwidth and 16.3 TFLOPS FP32 for complex simulations requiring high-precision floating point operations.
NVLink support facilitates multi-GPU scaling in enterprise setups, making it ideal for workstations handling 48 GB datasets without cloud dependency.
When to Choose the RTX 2080
The RTX 2080 suits budget-conscious users with its cloud pricing from $0.05 per hour averaging $0.10 per hour across eight offers, ideal for prototyping or inference on models fitting within 8-11 GB VRAM. Gamers and light AI developers leverage 10.1 TFLOPS FP16 at lower 215W TDP for efficient short bursts.
It provides accessible entry for Stable Diffusion tasks where 616 GB/s bandwidth suffices without premium costs.
Use Cases
The Quadro RTX 8000's 48 GB VRAM supports massive parameter models without splitting, unlike the RTX 2080's 8-11 GB limit. Its 16.3 TFLOPS FP16 outperforms the 10.1 TFLOPS for faster training iterations.
Smaller models fit the RTX 2080's 8-11 GB VRAM with 10.1 TFLOPS sufficient for low-latency serving at $0.05 per hour. Larger deployments require the Quadro RTX 8000's 48 GB capacity.
48 GB VRAM on the Quadro RTX 8000 allows full-batch fine-tuning on models over 11 GB, reducing epochs via 672 GB/s bandwidth. RTX 2080 suits smaller adapters only.
RTX 2080's 8-11 GB VRAM handles typical diffusion models efficiently at 616 GB/s and $0.10 per hour average. Quadro RTX 8000 overkill unless batching high-res images.
Quadro RTX 8000's 16.3 TFLOPS FP32 and 48 GB VRAM excel in large-scale simulations. RTX 2080's lower specs limit complex datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, far exceeding the RTX 2080's 8-11 GB GDDR6. This makes the Quadro suitable for larger AI models.
What is the compute performance difference?▾
Quadro RTX 8000 delivers 16.3 TFLOPS in FP16 and FP32, 61 percent higher than RTX 2080's 10.1 TFLOPS. This boosts training and inference speeds.
How do memory bandwidths compare?▾
Quadro RTX 8000 offers 672 GB/s bandwidth versus RTX 2080's 616 GB/s. Higher bandwidth reduces data transfer bottlenecks in batch processing.
What are the power requirements?▾
Quadro RTX 8000 has a 260W TDP, higher than RTX 2080's 215W. This reflects greater capability at increased power cost.
Is cloud pricing available for these GPUs?▾
RTX 2080 has offers from $0.05 per hour averaging $0.10 per hour across eight providers. Quadro RTX 8000 currently lacks live offers.
Do both support NVLink?▾
Both GPUs feature NVLink interconnects for multi-GPU communication. This aids scaling in PCIe form factors.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 2080?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 2080 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 2080?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find Quadro RTX 8000 and RTX 2080 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 2080?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 2080 uses Turing (2018). The Quadro RTX 8000 delivers 1.6x the FP16 throughput and 1.1x the memory bandwidth of the RTX 2080.