RTX 5090 vs RTX 6000 Ada

BlackwellvsAda LovelaceUpdated 6 days ago

The RTX 6000 Ada serves as the stronger choice for the most common use case of LLM training because its 48 GB memory capacity and 364 TFLOPS dense FP16 rating exceed the corresponding figures on the RTX 5090.

RTX 5090 from $0.87/GPU/hrRTX 6000 Ada 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 5090 and RTX 6000 Ada (3 each)

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  • Best $ per TFLOPS FP16 dense right now: RTX 6000 Ada ($0.0021 per TFLOPS-hour at 364 TFLOPS)

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Specifications Compared

SpecRTX 5090RTX 6000 Ada
TDP575W300W
VRAM32 GB48 GB
CUDA Cores21,76018,176
FP4 (dense)1,676 TFLOPSNot published
FP8 (dense)419 TFLOPS728.5 TFLOPS
Memory TypeGDDR7GDDR6
ArchitectureBlackwellAda Lovelace
FP16 (dense)209.5 TFLOPS364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)838 TOPS728.5 TOPS
InterconnectPCIe 5.0PCIe 4.0
Tensor Cores680568
FP32 Performance104.8 TFLOPS91.1 TFLOPS
FP64 Performance1.6 TFLOPSNot published
Memory Bandwidth1,792 GB/s960 GB/s
FP4 (with sparsity)3,352 TFLOPSNot published
FP8 (with sparsity)838 TFLOPS1,457 TFLOPS
FP16 (with sparsity)419 TFLOPS728 TFLOPS
INT8 (with sparsity)1,676 TOPS1,457 TOPS

Performance Analysis

The RTX 6000 Ada records dense FP16 performance at 364 TFLOPS against the RTX 5090 recording dense FP16 performance at 209.5 TFLOPS. The RTX 6000 Ada records FP16 performance with sparsity at 728 TFLOPS against the RTX 5090 recording FP16 performance with sparsity at 419 TFLOPS. Higher memory bandwidth of 1792 GB/s on the RTX 5090 supports larger batch sizes during training or inference compared with 960 GB/s on the RTX 6000 Ada. The RTX 5090 records FP32 performance at 104.8 TFLOPS while the RTX 6000 Ada records FP32 performance at 91.1 TFLOPS so the RTX 5090 delivers higher throughput in precision formats that rely on FP32 operations.

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 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiAlberta, CA8$0.87$6.93Deploy
RunPodglobal1$0.99Deploy
LeaderGPUThe Netherlands1$2.40Deploy

3 providers in stock, 8 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

RTX 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-24$0.78$3.11Deploy
Massed Computeus-central-21$0.79Deploy
LeaderGPUThe Netherlands8$1.20$9.60Deploy

3 providers in stock, 13 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

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When to Choose the RTX 5090

The RTX 5090 suits workloads that require maximum memory bandwidth such as large batch inference or diffusion model generation. Its 1792 GB/s bandwidth exceeds the 960 GB/s bandwidth of the RTX 6000 Ada and its FP32 rating of 104.8 TFLOPS exceeds the 91.1 TFLOPS rating of the RTX 6000 Ada.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada suits workloads that require greater memory capacity such as training models that exceed 32 GB VRAM. Its 48 GB GDDR6 memory exceeds the 32 GB GDDR7 memory of the RTX 5090 and its TDP of 300 W remains lower than the 575 W TDP of the RTX 5090.

Use Cases

LLM Training
RTX 6000 Ada

The RTX 6000 Ada provides 48 GB memory and 364 TFLOPS dense FP16 performance that exceed the 32 GB memory and 209.5 TFLOPS dense FP16 performance of the RTX 5090.

LLM Inference
RTX 5090

The RTX 5090 provides 1792 GB/s bandwidth that exceeds the 960 GB/s bandwidth of the RTX 6000 Ada and supports larger batch sizes.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada provides 48 GB memory that exceeds the 32 GB memory of the RTX 5090 for models that require additional capacity.

Stable Diffusion
RTX 5090

The RTX 5090 provides 1792 GB/s bandwidth and 104.8 TFLOPS FP32 performance that exceed the corresponding figures of the RTX 6000 Ada.

Scientific Computing
Either

The RTX 5090 provides higher FP32 performance at 104.8 TFLOPS while the RTX 6000 Ada provides higher memory capacity at 48 GB.

Frequently Asked Questions

What is the memory difference between the RTX 5090 and RTX 6000 Ada?

The RTX 5090 contains 32 GB GDDR7 memory while the RTX 6000 Ada contains 48 GB GDDR6 memory. The RTX 5090 lists memory bandwidth at 1792 GB/s while the RTX 6000 Ada lists memory bandwidth at 960 GB/s.

How do the FP16 figures compare between these GPUs?

The RTX 5090 lists dense FP16 performance at 209.5 TFLOPS and FP16 performance with sparsity at 419 TFLOPS. The RTX 6000 Ada lists dense FP16 performance at 364 TFLOPS and FP16 performance with sparsity at 728 TFLOPS.

What TDP values are listed for each GPU?

The RTX 5090 lists TDP at 575 W while the RTX 6000 Ada lists TDP at 300 W. Both GPUs use PCIe form factors.

Which GPU offers higher FP32 performance?

The RTX 5090 lists FP32 performance at 104.8 TFLOPS while the RTX 6000 Ada lists FP32 performance at 91.1 TFLOPS.

Do these GPUs share the same interconnect generation?

The RTX 5090 uses PCIe 5.0 interconnect while the RTX 6000 Ada uses PCIe 4.0 interconnect. Both GPUs appear in PCIe form factor.

Which architecture does each GPU use?

The RTX 5090 uses Blackwell architecture while the RTX 6000 Ada uses Ada Lovelace architecture.

Which is cheaper to rent, the RTX 5090 or the RTX 6000 Ada?

Cloud rental prices for both the RTX 5090 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 5090 have compared to the RTX 6000 Ada?

The RTX 5090 has 32 GB of GDDR7 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find RTX 5090 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 5090 and the RTX 6000 Ada?

The RTX 5090 uses the Blackwell architecture (2025) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 1.7x the dense FP16 throughput (364 vs 209.5 TFLOPS, both without sparsity) while the RTX 5090 has 1.9x the memory bandwidth of the RTX 6000 Ada.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 5090 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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