GPU comparison

GTX 1080 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

PascalvsBlackwellUpdated 33 days ago

The RTX PRO 6000 wins for the most common use case of modern compute workloads. Its 126 TFLOPS FP32 performance and 96 GB VRAM exceed the GTX 1080 8.9 TFLOPS FP32 performance and 8-11 GB VRAM by substantial margins that justify the higher 600W TDP.

GTX 1080 from $0.45/GPU/hrRTX PRO 6000 from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: GTX 1080 at $0.45/hr on LeaderGPU

    Deploy
  • Most providers in stock: RTX PRO 6000 (6)

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Specifications Compared

SpecGTX 1080RTX PRO 6000
TDP180W600W
VRAM8-11 GB96 GB
CUDA Cores2,56024,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)Not published1,007.6 TFLOPS
Memory TypeGDDR5XGDDR7
ArchitecturePascalBlackwell
FP16 (dense)Not published503.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published1,007.6 TOPS
InterconnectPCIe 3.0PCIe 5.0
Tensor CoresNot published752
FP32 Performance8.9 TFLOPS126 TFLOPS
Memory Bandwidth320 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)Not published2,015.2 TFLOPS
FP16 (with sparsity)Not published1,007.6 TFLOPS
INT8 (with sparsity)Not published2,015.2 TOPS

Performance Analysis

The RTX PRO 6000 provides 503.8 TFLOPS dense FP16 performance against its 126 TFLOPS FP32 performance. This four times ratio supports faster execution of mixed precision workloads in training and inference relative to FP32 only operations. The GTX 1080 supplies no published FP16 figure so no matching ratio applies. Memory bandwidth reaches 1792 GB/s on the RTX PRO 6000 compared to 320 GB/s on the GTX 1080. The higher bandwidth permits larger batch sizes before memory constraints appear during data movement. The RTX PRO 6000 also lists 1,007.6 TFLOPS FP16 with sparsity against its 503.8 TFLOPS dense FP16 figure for additional acceleration in sparsity compatible tasks.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

GTX 1080

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands4$0.45$1.80Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All GTX 1080 offers, price history and alerts

RTX PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.51—Deploy
Massed Computeus-central-92$2.19$4.38Deploy
QuantaCloudus-midwest-41$2.39—Deploy
VERDAFIN-HEL4$2.40$9.58Deploy

6 providers in stock, 17 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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When to Choose the GTX 1080

The GTX 1080 suits environments limited to 180W TDP power budgets where the RTX PRO 6000 600W TDP exceeds available capacity. Older PCIe 3.0 systems accept the GTX 1080 without requiring upgrades to PCIe 5.0 infrastructure. Workloads that fit within 8-11 GB VRAM avoid the need for the larger 96 GB capacity of the RTX PRO 6000.

When to Choose the RTX PRO 6000

The RTX PRO 6000 fits workloads that require 96 GB VRAM to accommodate models exceeding the 8-11 GB limit of the GTX 1080. Higher FP32 performance at 126 TFLOPS versus 8.9 TFLOPS addresses compute intensive operations within the 600W TDP envelope.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 503.8 TFLOPS dense FP16 performance and 96 GB VRAM that exceed GTX 1080 capabilities for large model training.

LLM Inference
RTX PRO 6000

The RTX PRO 6000 1792 GB/s bandwidth and 1,007.6 TFLOPS FP16 with sparsity enable larger batch inference than the GTX 1080 320 GB/s bandwidth.

Fine-tuning
RTX PRO 6000

The RTX PRO 6000 126 TFLOPS FP32 performance supports fine-tuning operations beyond the GTX 1080 8.9 TFLOPS FP32 limit.

Stable Diffusion
RTX PRO 6000

The RTX PRO 6000 96 GB VRAM accommodates higher resolution generation workloads compared to the GTX 1080 8-11 GB VRAM.

Scientific Computing
Either

The GTX 1080 meets basic FP32 needs at 8.9 TFLOPS within 180W TDP while the RTX PRO 6000 handles larger simulations at 126 TFLOPS.

Frequently Asked Questions

What is the FP32 performance difference between GTX 1080 and RTX PRO 6000?▾

The GTX 1080 reaches 8.9 TFLOPS FP32 while the RTX PRO 6000 reaches 126 TFLOPS FP32.

What memory bandwidth do the GPUs provide?▾

The GTX 1080 provides 320 GB/s bandwidth and the RTX PRO 6000 provides 1792 GB/s bandwidth.

What are the TDP ratings for these GPUs?▾

The GTX 1080 has a 180W TDP and the RTX PRO 6000 has a 600W TDP.

What dense FP16 performance does the RTX PRO 6000 deliver?▾

The RTX PRO 6000 delivers 503.8 TFLOPS dense FP16 performance.

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 GTX 1080 has 8-11 GB of GDDR5X at 320 GB/s; the RTX PRO 6000 has 96 GB of GDDR7 at 1,792 GB/s, so the RTX PRO 6000 has 5.6x the memory bandwidth of the GTX 1080.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GTX 1080 and the RTX PRO 6000. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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