GPU comparison

RTX 2070 vs RTX 5090

Specifications and current cloud pricing, side by side.

TuringvsBlackwellUpdated 33 days ago

The RTX 5090 wins for the most common use case of LLM inference because its 209.5 TFLOPS dense FP16 and 1792 GB/s bandwidth exceed the RTX 2070 figures by multiples that reduce latency on production workloads.

RTX 5090 listed from $0.76/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5090 at $0.76/hr on Vast.ai

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  • Most providers in stock: RTX 5090 (3)

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Specifications Compared

SpecRTX 2070RTX 5090
TDP175W575W
VRAM8 GB32 GB
CUDA Cores2,30421,760
FP4 (dense)Not published1,676 TFLOPS
FP8 (dense)Not published419 TFLOPS
Memory TypeGDDR6GDDR7
ArchitectureTuringBlackwell
FP16 (dense)29.9 TFLOPS209.5 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)119.4 TOPS838 TOPS
InterconnectPCIe 3.0PCIe 5.0
Tensor Cores288680
FP32 Performance7.5 TFLOPS104.8 TFLOPS
FP64 PerformanceNot published1.6 TFLOPS
Memory Bandwidth448 GB/s1,792 GB/s
FP4 (with sparsity)Not published3,352 TFLOPS
FP8 (with sparsity)Not published838 TFLOPS
FP16 (with sparsity)Not published419 TFLOPS
INT8 (with sparsity)Not published1,676 TOPS

Performance Analysis

The RTX 2070 delivers FP16 dense performance of 29.9 TFLOPS while the RTX 5090 reaches 209.5 TFLOPS dense FP16 for a sevenfold increase that shortens training iteration times on large models. FP32 figures of 7.5 TFLOPS dense on the RTX 2070 versus 104.8 TFLOPS dense on the RTX 5090 indicate even greater acceleration for precision-sensitive workloads. Memory bandwidth four times higher on the RTX 5090 permits larger batch sizes during inference without swapping to host memory. Sparse FP16 performance of 419 TFLOPS on the RTX 5090 cannot be compared directly to the RTX 2070 because no sparsity figure exists for that model.

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 2070

RTX 2070 is not offered on-demand by any provider we track right now. See the RTX 2070 rental page for last-seen listed prices and a price alert.

RTX 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiUnited Kingdom, GB8$0.76$6.08Deploy
RunPodglobal1$1.19—Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

3 providers in stock, 15 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

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When to Choose the RTX 2070

The RTX 2070 suits environments constrained to 175W power limits or legacy PCIe 3.0 slots where the RTX 5090 TDP of 575W would exceed available cooling. Workloads that fit within 8 GB GDDR6 and require only 29.9 TFLOPS dense FP16 avoid the need for newer interconnect standards.

When to Choose the RTX 5090

The RTX 5090 fits scenarios that demand 32 GB GDDR7 and 1792 GB/s bandwidth to sustain large batch inference at 209.5 TFLOPS dense FP16.

Use Cases

LLM Training
RTX 5090

The RTX 5090 supplies 104.8 TFLOPS dense FP32 and 32 GB GDDR7 that accommodate larger models than the 7.5 TFLOPS and 8 GB on the RTX 2070.

LLM Inference
RTX 5090

Dense FP16 performance of 209.5 TFLOPS and 838 TOPS dense INT8 on the RTX 5090 exceed the 29.9 TFLOPS and 119.4 TOPS of the RTX 2070 for faster token generation.

Fine-tuning
RTX 5090

Memory bandwidth of 1792 GB/s on the RTX 5090 supports larger batch sizes during adaptation compared with 448 GB/s on the RTX 2070.

Stable Diffusion
RTX 5090

The RTX 5090 provides 419 TFLOPS dense FP8 that accelerates diffusion steps beyond the FP16 dense limit of 29.9 TFLOPS on the RTX 2070.

Scientific Computing
RTX 5090

FP32 throughput of 104.8 TFLOPS dense on the RTX 5090 delivers higher simulation throughput than the 7.5 TFLOPS dense rating of the RTX 2070.

Frequently Asked Questions

What is the FP32 performance difference between these GPUs?▾

The RTX 2070 lists 7.5 TFLOPS dense FP32 while the RTX 5090 lists 104.8 TFLOPS dense FP32 resulting in a fourteenfold gap.

Which GPU offers higher memory bandwidth?▾

The RTX 5090 reaches 1792 GB/s while the RTX 2070 reaches 448 GB/s allowing larger working sets without host transfers.

What are the TDP values for each model?▾

The RTX 2070 carries a 175W TDP rating and the RTX 5090 carries a 575W TDP rating.

Does the RTX 5090 support sparsity in FP16?▾

The RTX 5090 lists 419 TFLOPS FP16 with sparsity in addition to 209.5 TFLOPS dense FP16 whereas the RTX 2070 lists only the 29.9 TFLOPS dense figure.

What interconnect does each GPU use?▾

The RTX 2070 uses PCIe 3.0 and the RTX 5090 uses PCIe 5.0.

Which is cheaper to rent, the RTX 2070 or the RTX 5090?▾

Cloud rental prices for both the RTX 2070 and RTX 5090 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 2070 have compared to the RTX 5090?▾

The RTX 2070 has 8 GB of GDDR6 memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find RTX 2070 and RTX 5090 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 2070 and the RTX 5090?▾

The RTX 2070 uses the Turing architecture (2018) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 7.0x the dense FP16 throughput (209.5 vs 29.9 TFLOPS, both without sparsity) and 4.0x the memory bandwidth of the RTX 2070.

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 RTX 2070 and the RTX 5090. 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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