Specifications Compared
| Spec | GTX-1080 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 180W | 400W |
| VRAM | 8-11 GB | 96 GB |
| CUDA Cores | 2,560 | 21,760 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 8.9 TFLOPS | 125 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 125 TFLOPS |
| Memory Bandwidth | 320 GB/s | 1,792 GB/s |
Performance Analysis
Compute throughput defines a massive disparity: the RTX PRO 6000's 125 TFLOPS FP32 dwarfs the GTX 1080's 8.9 TFLOPS, enabling over 14 times faster matrix operations critical for deep learning training. FP16 performance follows suit at 125 TFLOPS versus 8.9 TFLOPS, accelerating half-precision training common in large language models. The RTX PRO 6000's 2000 TFLOPS FP8 further optimizes inference for quantized models, unavailable on the GTX 1080.
Memory specifications transform real-world usability: 96 GB GDDR7 on the RTX PRO 6000 supports batch sizes for models exceeding 11 GB, while the GTX 1080's 8 to 11 GB GDDR5X limits it to smaller datasets. Bandwidth at 1792 GB/s versus 320 GB/s reduces data bottlenecks, allowing the RTX PRO 6000 to process larger batches 5.6 times faster during training and inference.
Power and interconnects influence deployment: the GTX 1080's 180W TDP fits low-density clusters, but the RTX PRO 6000's 400W and NVLink enable multi-GPU scaling for distributed training, outperforming PCIe-only setups on the GTX 1080.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 4×NVIDIA GeForce GTX 1080 8GB VRAM | 8GB | 0 vCPU 64GB RAM 480GB Storage | Netherlands | $0.30/GPU/hr $1.20/hr total (4×) | Available | ||
LeaderGPU | 8×NVIDIA GeForce GTX 1080 Ti 11GB VRAM | 11GB | 0 vCPU 128GB RAM 480GB Storage | Netherlands | $0.60/GPU/hr $4.80/hr total (8×) | Available |
When to Choose the GTX 1080
The GTX 1080 excels in budget-constrained environments with cloud pricing from $0.30 per hour and average $0.45 across two offers. It suits lightweight inference or fine-tuning of small models under 8 GB, where 8.9 TFLOPS FP32 and 320 GB/s bandwidth suffice without overprovisioning. Legacy applications optimized for Pascal architecture avoid recompilation costs.
Low 180W TDP makes it ideal for edge computing or power-sensitive setups, delivering reliable performance for prototyping without the RTX PRO 6000's $0.59 per hour starting cost.
When to Choose the RTX PRO 6000
The RTX PRO 6000 dominates large-scale AI workloads with 96 GB VRAM and 1792 GB/s bandwidth, handling massive models infeasible on the GTX 1080's 8 to 11 GB. Its 125 TFLOPS FP32 and 2000 TFLOPS FP8 accelerate training and quantized inference by over 14 times.
NVLink interconnect supports efficient multi-GPU clusters, justifying $0.59 per hour pricing across five offers for production environments demanding speed over the GTX 1080's limitations.
Use Cases
The RTX PRO 6000's 96 GB VRAM and 125 TFLOPS FP16 handle large models and batches infeasible on the GTX 1080's 8 to 11 GB and 8.9 TFLOPS. Bandwidth at 1792 GB/s versus 320 GB/s ensures faster convergence.
2000 TFLOPS FP8 on the RTX PRO 6000 optimizes quantized serving, with 96 GB supporting high concurrency. The GTX 1080's 8.9 TFLOPS limits throughput for production-scale inference.
RTX PRO 6000's 125 TFLOPS FP32 speeds iterations on mid-sized models using 96 GB VRAM. GTX 1080 restricts to tiny datasets due to 8 to 11 GB capacity.
GTX 1080 runs basic generations at 8.9 TFLOPS with 320 GB/s bandwidth for prototyping. RTX PRO 6000's 125 TFLOPS and 96 GB enable high-res batch processing.
RTX PRO 6000's 1792 GB/s bandwidth and NVLink accelerate simulations with large datasets. GTX 1080's 320 GB/s PCIe limits complex computations.
Frequently Asked Questions
What is the VRAM difference between GTX 1080 and RTX PRO 6000?▾
The GTX 1080 provides 8 to 11 GB GDDR5X VRAM. The RTX PRO 6000 offers 96 GB GDDR7, enabling vastly larger models and batch sizes.
Which GPU has higher FP32 performance?▾
RTX PRO 6000 delivers 125 TFLOPS FP32. GTX 1080 achieves 8.9 TFLOPS, a 14-fold gap favoring the newer GPU.
How do cloud prices compare?▾
GTX 1080 starts at $0.30 per hour, average $0.45 across two offers. RTX PRO 6000 begins at $0.59 per hour, average $1.25 across five offers.
Does the RTX PRO 6000 support FP8?▾
Yes, it provides 2000 TFLOPS FP8 for efficient inference. GTX 1080 lacks FP8 capability.
What are the TDP ratings?▾
GTX 1080 has 180W TDP. RTX PRO 6000 requires 400W, suiting high-density servers.
Which has better memory bandwidth?▾
RTX PRO 6000 reaches 1792 GB/s. GTX 1080 offers 320 GB/s, limiting data throughput.
Which is cheaper to rent, the GTX 1080 or the RTX PRO 6000?▾
Cloud rental prices for both the GTX 1080 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 GTX 1080 have compared to the RTX PRO 6000?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find GTX 1080 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 GTX 1080 and the RTX PRO 6000?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 14.0x the FP16 throughput and 5.6x the memory bandwidth of the GTX 1080.