Specifications Compared
| Spec | RTX-4080 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 320W | 400W |
| VRAM | 16 GB | 96 GB |
| CUDA Cores | 9,728 | 21,760 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 304 | 680 |
| FP16 Performance | 48.7 TFLOPS | 125 TFLOPS |
| FP32 Performance | 48.7 TFLOPS | 125 TFLOPS |
| INT8 Performance | 780 TOPS | 2,000 TOPS |
| Memory Bandwidth | 717 GB/s | 1,792 GB/s |
Performance Analysis
Compute performance favors the RTX PRO 6000 Blackwell decisively. Its 125 TFLOPS FP16 and FP32 rates exceed the RTX 4080 SUPER's 48.7 TFLOPS by over 2.5 times, accelerating neural network training and inference. FP16/FP32 parity in both GPUs supports mixed-precision training without accuracy loss, but the RTX PRO 6000 Blackwell's scale enables processing larger models faster. The addition of 2000 TFLOPS FP8 on RTX PRO 6000 Blackwell optimizes low-precision inference for deployment. Memory differences reshape real-world usage: 96 GB VRAM on RTX PRO 6000 Blackwell accommodates massive datasets or models that exceed the RTX 4080 SUPER's 16 GB limit, preventing out-of-memory errors during training. Higher bandwidth of 1792 GB/s versus 717 GB/s sustains larger batch sizes, reducing per-iteration time in gradient computations. This combination minimizes bottlenecks in data-parallel workflows. TDP rises to 400W on RTX PRO 6000 Blackwell from 320W, demanding robust cooling but delivering proportional gains.
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 RTX 4080 SUPER
The RTX 4080 SUPER fits budget-conscious deployments with moderate requirements. Its starting price of $0.17/hr and average $0.32/hr make it economical for inference on models under 16 GB or Stable Diffusion generation, where 48.7 TFLOPS FP16 suffices. Lower 320W TDP suits shared cloud instances with power limits, avoiding excess costs.
When to Choose the RTX PRO 6000 Blackwell
The RTX PRO 6000 Blackwell dominates high-end workloads needing scale. With 96 GB VRAM and 1792 GB/s bandwidth, it trains LLMs exceeding 70B parameters without splitting, leveraging 125 TFLOPS FP16 for speedups. NVLink interconnect enables multi-GPU clusters, unavailable on RTX 4080 SUPER, for distributed training.
Use Cases
RTX PRO 6000 Blackwell's 96 GB VRAM and 125 TFLOPS FP16 handle large models and batches infeasible on RTX 4080 SUPER's 16 GB limit. Bandwidth of 1792 GB/s further accelerates data loading.
2000 TFLOPS FP8 and 96 GB VRAM enable high-throughput serving of massive models. RTX 4080 SUPER's 48.7 TFLOPS and 16 GB constrain scale.
RTX 4080 SUPER's 16 GB VRAM and $0.17/hr pricing suit smaller models under 13B parameters. It delivers adequate 48.7 TFLOPS without overkill.
RTX 4080 SUPER's Ada Lovelace architecture and 717 GB/s bandwidth generate images efficiently at lower $0.32/hr average cost. 16 GB VRAM covers typical workflows.
125 TFLOPS FP32 and NVLink support parallel simulations on RTX PRO 6000 Blackwell. Superior memory handles complex datasets beyond RTX 4080 SUPER.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX PRO 6000 Blackwell provides 96 GB GDDR7, six times the RTX 4080 SUPER's 16 GB GDDR6X. This enables larger models in training and inference.
What is the FP32 performance difference?▾
RTX PRO 6000 Blackwell achieves 125 TFLOPS FP32, surpassing RTX 4080 SUPER's 48.7 TFLOPS by about 2.6 times. This boosts scientific simulations and general compute.
How do cloud prices compare?▾
RTX 4080 SUPER starts at $0.17/hr averaging $0.32/hr across 3 offers. RTX PRO 6000 Blackwell begins at $0.59/hr averaging $1.22/hr across 7 offers.
Does RTX PRO 6000 support NVLink?▾
Yes, RTX PRO 6000 Blackwell includes NVLink for multi-GPU connectivity. RTX 4080 SUPER lacks this, limiting scaling.
Which has higher memory bandwidth?▾
RTX PRO 6000 Blackwell delivers 1792 GB/s, 2.5 times the RTX 4080 SUPER's 717 GB/s. This sustains larger batches in AI workloads.
What are the TDP ratings?▾
RTX 4080 SUPER consumes 320W, while RTX PRO 6000 Blackwell requires 400W. Higher TDP correlates with greater performance.
Which is cheaper to rent, the RTX 4080 or the RTX PRO 6000?▾
Cloud rental prices for both the RTX 4080 and RTX PRO 6000 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 RTX 4080 have compared to the RTX PRO 6000?▾
The RTX 4080 has 16 GB of GDDR6X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find RTX 4080 and RTX PRO 6000 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 RTX 4080 and the RTX PRO 6000?▾
The RTX 4080 uses the Ada Lovelace architecture (2022) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 2.6x the FP16 throughput and 2.5x the memory bandwidth of the RTX 4080.