GPU comparison

RTX 5090 vs T4

Specifications and current cloud pricing, side by side.

BlackwellvsTuringUpdated 34 days ago

The RTX 5090 wins for the most common use case of LLM inference. Its 209.5 TFLOPS FP16 dense rating combined with 32 GB VRAM and 1792 GB/s bandwidth delivers higher throughput than the T4 65 TFLOPS dense rating and 16 GB VRAM.

RTX 5090 listed from $0.93/GPU/hrT4 listed from $0.27/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 5090 at $0.93/hr on Vast.ai

    Deploy
  • Most providers in stock: RTX 5090 (3)

    See all offers

Specifications Compared

SpecRTX 5090T4
TDP575W70W
VRAM32 GB16 GB
CUDA Cores21,7602,560
FP4 (dense)1,676 TFLOPSNot published
FP8 (dense)419 TFLOPSNot published
Memory TypeGDDR7GDDR6
ArchitectureBlackwellTuring
FP16 (dense)209.5 TFLOPS65 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)838 TOPS130 TOPS
InterconnectPCIe 5.0PCIe 3.0
Tensor Cores680320
FP32 Performance104.8 TFLOPS8.1 TFLOPS
FP64 Performance1.6 TFLOPSNot published
Memory Bandwidth1,792 GB/s320 GB/s
FP4 (with sparsity)3,352 TFLOPSNot published
FP8 (with sparsity)838 TFLOPSNot published
FP16 (with sparsity)419 TFLOPSNot published
INT8 (with sparsity)1,676 TOPSNot published

Performance Analysis

The FP16 dense performance shows the RTX 5090 at 209.5 TFLOPS versus 65 TFLOPS on the T4. This delta supports larger batch sizes during training and inference because the RTX 5090 also delivers 5.6 times the memory bandwidth of the T4. FP32 figures follow the same pattern with 104.8 TFLOPS dense on the RTX 5090 against 8.1 TFLOPS on the T4. INT8 dense performance reaches 838 TOPS on the RTX 5090 compared to 130 TOPS on the T4. Sparsity figures on the RTX 5090 such as FP16 with sparsity at 419 TFLOPS cannot be compared directly to the T4 because the T4 lists only dense values. Higher bandwidth on the RTX 5090 enables sustained throughput with larger models while the T4 remains constrained by its 320 GB/s limit.

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$0.93$7.47Deploy
RunPodglobal1$1.19—Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

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

T4

T4 is not offered on-demand by any provider we track right now. See the T4 rental page for last-seen listed prices and a price alert.

Which GPU to watchWatch the price of

Notify me when RTX 5090 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.93/GPU-hr.

QuantaCloud

Comparing providers? We broker across all of them.

Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.

No waitlist24hr quote turnaroundInfiniBand fabric

Compare real-time pricing across 25+ providers

When to Choose the RTX 5090

The RTX 5090 suits workloads that demand 32 GB VRAM and 1792 GB/s bandwidth such as large scale LLM training. Its FP16 dense rating of 209.5 TFLOPS allows faster iteration than the T4 65 TFLOPS dense rating. Users select the RTX 5090 when FP32 performance at 104.8 TFLOPS is required for scientific computing tasks.

When to Choose the T4

The T4 fits environments that prioritize 70W TDP over raw speed. Its 16 GB VRAM and 65 TFLOPS FP16 dense rating handle smaller inference jobs where power limits matter. The T4 also suits legacy PCIe 3.0 systems that cannot accommodate the RTX 5090 interconnect.

Use Cases

LLM Training
RTX 5090

The RTX 5090 supplies 209.5 TFLOPS FP16 dense and 32 GB VRAM while the T4 offers only 65 TFLOPS FP16 dense and 16 GB VRAM.

LLM Inference
RTX 5090

The RTX 5090 provides 209.5 TFLOPS FP16 dense and 1792 GB/s bandwidth enabling larger batches than the T4 65 TFLOPS FP16 dense and 320 GB/s bandwidth.

Fine-tuning
RTX 5090

The RTX 5090 INT8 dense rating of 838 TOPS exceeds the T4 130 TOPS and supports 32 GB VRAM for model updates.

Stable Diffusion
RTX 5090

The RTX 5090 FP16 dense performance at 209.5 TFLOPS and 1792 GB/s bandwidth handle image generation workloads better than the T4 65 TFLOPS and 320 GB/s.

Scientific Computing
RTX 5090

The RTX 5090 FP32 rating of 104.8 TFLOPS surpasses the T4 8.1 TFLOPS for compute intensive simulations.

Frequently Asked Questions

What is the FP16 dense performance difference between the RTX 5090 and T4?▾

The RTX 5090 reaches 209.5 TFLOPS FP16 dense while the T4 reaches 65 TFLOPS FP16 dense. This gap affects training and inference speeds directly.

What are the TDP values for the RTX 5090 and T4?▾

The RTX 5090 lists 575W TDP and the T4 lists 70W TDP. Power draw influences deployment choices in dense server racks.

Which GPU has higher memory bandwidth?▾

The RTX 5090 provides 1792 GB/s bandwidth compared to 320 GB/s on the T4. Bandwidth determines data movement rates during computation.

Can the T4 support sparsity features like the RTX 5090?▾

The T4 publishes only dense figures such as 65 TFLOPS FP16 dense while the RTX 5090 lists both dense and with sparsity values including 419 TFLOPS FP16 with sparsity.

What interconnect does each GPU use?▾

The RTX 5090 uses PCIe 5.0 and the T4 uses PCIe 3.0. Interconnect speed affects data transfer between host and device.

Which is cheaper to rent, the RTX 5090 or the T4?▾

Cloud rental prices for both the RTX 5090 and T4 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 T4?▾

The RTX 5090 has 32 GB of GDDR7 memory. The T4 has 16 GB of GDDR6 memory.

Can I find RTX 5090 and T4 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 T4?▾

The RTX 5090 uses the Blackwell architecture (2025) while the T4 uses Turing (2018). The RTX 5090 delivers 3.2x the dense FP16 throughput (209.5 vs 65 TFLOPS, both without sparsity) and 5.6x the memory bandwidth of the T4.

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 5090 and the T4. 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.

Next steps