GPU comparison

RTX 5080 vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

BlackwellvsAda LovelaceUpdated 33 days ago

The RTX 6000 Ada wins for the most common use case of LLM inference and training because its 48 GB VRAM and dense FP16 rating of 364 TFLOPS surpass the corresponding 16 GB and 112.6 TFLOPS figures on the RTX 5080.

RTX 5080 listed from $0.59/GPU/hrRTX 6000 Ada listed from $0.78/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.78/hr on QuantaCloud

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  • Most providers in stock: RTX 6000 Ada (4)

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Specifications Compared

SpecRTX 5080RTX 6000 Ada
TDP360W300W
VRAM16 GB48 GB
CUDA Cores10,75218,176
FP4 (dense)900.4 TFLOPSNot published
FP8 (dense)225.1 TFLOPS728.5 TFLOPS
Memory TypeGDDR7GDDR6
ArchitectureBlackwellAda Lovelace
FP16 (dense)112.6 TFLOPS364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)450.2 TOPS728.5 TOPS
InterconnectPCIe 5.0PCIe 4.0
Tensor Cores336568
FP32 Performance56.3 TFLOPS91.1 TFLOPS
Memory Bandwidth960 GB/s960 GB/s
FP4 (with sparsity)1,801 TFLOPSNot published
FP8 (with sparsity)450.2 TFLOPS1,457 TFLOPS
FP16 (with sparsity)225.1 TFLOPS728 TFLOPS
INT8 (with sparsity)900.4 TOPS1,457 TOPS

Performance Analysis

The RTX 6000 Ada delivers higher dense FP16 performance at 364 TFLOPS compared to 112.6 TFLOPS on the RTX 5080. This difference means the RTX 6000 Ada supports faster matrix operations in training and inference tasks that rely on dense FP16 calculations. The RTX 5080 provides dense FP8 at 225.1 TFLOPS while the RTX 6000 Ada reaches 728.5 TFLOPS in the same metric. Identical memory bandwidth of 960 GB/s on both GPUs allows similar data throughput rates yet the RTX 6000 Ada with 48 GB VRAM accommodates larger batch sizes than the 16 GB configuration on the RTX 5080. Sparse FP16 figures show 728 TFLOPS on the RTX 6000 Ada against 225.1 TFLOPS on the RTX 5080.

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.

RTX 5080

RTX 5080 is not offered on-demand by any provider we track right now. See the RTX 5080 rental page for last-seen listed prices and a price alert.

RTX 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-18$0.78$6.21Deploy
Massed Computeus-central-32$0.79$1.58Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy
DigitalOceanToronto 11$1.57—Deploy

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

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When to Choose the RTX 5080

The RTX 5080 suits workloads that utilize its dense FP4 performance of 900.4 TFLOPS or sparse FP4 performance of 1801 TFLOPS where the RTX 6000 Ada provides no listed equivalent. Its PCIe 5.0 interconnect offers an advantage in systems optimized for that standard over the PCIe 4.0 on the RTX 6000 Ada.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada fits scenarios requiring 48 GB VRAM for large models and dense FP16 performance of 364 TFLOPS that exceeds the 112.6 TFLOPS on the RTX 5080. Its lower TDP of 300 W compared to 360 W on the RTX 5080 reduces power draw in sustained operations.

Use Cases

LLM Training
RTX 6000 Ada

The RTX 6000 Ada provides 48 GB VRAM and dense FP16 at 364 TFLOPS for handling larger training batches than the 16 GB and 112.6 TFLOPS on the RTX 5080.

LLM Inference
RTX 6000 Ada

The RTX 6000 Ada supports higher dense FP16 performance at 364 TFLOPS and greater memory capacity of 48 GB compared to 112.6 TFLOPS and 16 GB on the RTX 5080.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada offers 48 GB VRAM and dense FP16 at 364 TFLOPS which enable processing of larger fine-tuning datasets than the RTX 5080 specifications allow.

Stable Diffusion
RTX 6000 Ada

The RTX 6000 Ada delivers dense FP16 at 364 TFLOPS with 48 GB VRAM for image generation tasks exceeding the 112.6 TFLOPS and 16 GB limits of the RTX 5080.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada achieves FP32 at 91.1 TFLOPS and dense FP16 at 364 TFLOPS with lower TDP of 300 W versus the RTX 5080 figures.

Frequently Asked Questions

How do FP16 dense figures compare on these GPUs?▾

The RTX 5080 lists dense FP16 at 112.6 TFLOPS. The RTX 6000 Ada lists dense FP16 at 364 TFLOPS.

Which GPU has lower power consumption?▾

The RTX 6000 Ada operates at a TDP of 300 W. The RTX 5080 operates at a TDP of 360 W.

Do both GPUs support the same interconnect standard?▾

The RTX 5080 uses PCIe 5.0. The RTX 6000 Ada uses PCIe 4.0. Both use PCIe form factors.

What FP32 performance do these GPUs provide?▾

The RTX 5080 reaches FP32 at 56.3 TFLOPS. The RTX 6000 Ada reaches FP32 at 91.1 TFLOPS.

Which is cheaper to rent, the RTX 5080 or the RTX 6000 Ada?▾

Cloud rental prices for both the RTX 5080 and RTX 6000 Ada 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 5080 have compared to the RTX 6000 Ada?▾

The RTX 5080 has 16 GB of GDDR7 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find RTX 5080 and RTX 6000 Ada 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 5080 and the RTX 6000 Ada?▾

The RTX 5080 uses the Blackwell architecture (2025) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 3.2x the dense FP16 throughput (364 vs 112.6 TFLOPS, both without sparsity) and the same memory bandwidth as the RTX 5080.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 5080 and the RTX 6000 Ada. 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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