GPU comparison

RTX PRO 6000 vs T4

Specifications and current cloud pricing, side by side.

BlackwellvsTuringUpdated 33 days ago

The RTX PRO 6000 wins for the most common use case of LLM inference because its 96 GB VRAM and 503.8 TFLOPS dense FP16 exceed the T4 specifications by substantial margins in memory capacity and compute throughput.

RTX PRO 6000 listed from $0.69/GPU/hrT4 listed from $0.27/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

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

    See all offers

Specifications Compared

SpecRTX PRO 6000T4
TDP600W70W
VRAM96 GB16 GB
CUDA Cores24,0642,560
FP4 (dense)2,015.2 TFLOPSNot published
FP8 (dense)1,007.6 TFLOPSNot published
Memory TypeGDDR7GDDR6
ArchitectureBlackwellTuring
FP16 (dense)503.8 TFLOPS65 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)1,007.6 TOPS130 TOPS
InterconnectPCIe 5.0PCIe 3.0
Tensor Cores752320
FP32 Performance126 TFLOPS8.1 TFLOPS
Memory Bandwidth1,792 GB/s320 GB/s
FP4 (with sparsity)4,030.4 TFLOPSNot published
FP8 (with sparsity)2,015.2 TFLOPSNot published
FP16 (with sparsity)1,007.6 TFLOPSNot published
INT8 (with sparsity)2,015.2 TOPSNot published

Performance Analysis

Dense FP16 performance reaches 503.8 TFLOPS on the RTX PRO 6000 compared to 65 TFLOPS on the T4. This gap indicates the RTX PRO 6000 processes FP16 dense operations at a ratio of 503.8 to 65. FP32 figures stand at 126 TFLOPS for the RTX PRO 6000 versus 8.1 TFLOPS for the T4. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 versus 320 GB/s on the T4 supports larger batch sizes during inference or training workloads that rely on dense FP16 calculations.

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 PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.73—Deploy
Massed Computeus-east-11$2.19—Deploy
VERDAFIN-HEL2$2.37$4.74Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy

6 providers in stock, 23 offers (cheapest per provider shown). All RTX PRO 6000 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 PRO 6000 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.69/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 PRO 6000

The RTX PRO 6000 suits workloads that require 96 GB GDDR7 VRAM and 503.8 TFLOPS dense FP16 performance. Scenarios involving large model training benefit from the 1792 GB/s memory bandwidth paired with the 600 W TDP capacity.

When to Choose the T4

The T4 fits deployments constrained to 70 W TDP and 16 GB GDDR6 VRAM. Tasks that operate within 65 TFLOPS dense FP16 and 130 TOPS dense INT8 align with the T4 PCIe 3.0 interface.

Use Cases

LLM Training
RTX PRO 6000

The RTX PRO 6000 supplies 96 GB VRAM and 503.8 TFLOPS dense FP16 for handling large parameter sets.

LLM Inference
RTX PRO 6000

Dense FP16 at 503.8 TFLOPS and 1792 GB/s bandwidth on the RTX PRO 6000 enable higher throughput than the T4.

Fine-tuning
RTX PRO 6000

96 GB GDDR7 VRAM on the RTX PRO 6000 accommodates fine-tuning datasets that exceed the T4 16 GB limit.

Stable Diffusion
RTX PRO 6000

The RTX PRO 6000 FP32 rating of 126 TFLOPS supports diffusion workloads beyond the T4 8.1 TFLOPS FP32.

Scientific Computing
RTX PRO 6000

FP32 performance of 126 TFLOPS on the RTX PRO 6000 provides greater capacity than the T4 for compute intensive simulations.

Frequently Asked Questions

What is the memory bandwidth difference between these GPUs?▾

The RTX PRO 6000 reaches 1792 GB/s and the T4 reaches 320 GB/s.

Which GPU offers higher dense FP16 performance?▾

The RTX PRO 6000 delivers 503.8 TFLOPS dense FP16 compared to 65 TFLOPS dense FP16 on the T4.

How do the TDP ratings compare?▾

The RTX PRO 6000 TDP is 600 W while the T4 TDP is 70 W.

What interconnect versions do these GPUs use?▾

The RTX PRO 6000 uses PCIe 5.0 and the T4 uses PCIe 3.0.

Does the T4 publish FP8 performance figures?▾

The T4 does not publish FP8 performance figures unlike the RTX PRO 6000 which lists 1007.6 TFLOPS dense FP8.

Which is cheaper to rent, the RTX PRO 6000 or the T4?▾

Cloud rental prices for both the RTX PRO 6000 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 PRO 6000 have compared to the T4?▾

The RTX PRO 6000 has 96 GB of GDDR7 memory. The T4 has 16 GB of GDDR6 memory.

Can I find RTX PRO 6000 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 PRO 6000 and the T4?▾

The RTX PRO 6000 uses the Blackwell architecture (2025) while the T4 uses Turing (2018). The RTX PRO 6000 delivers 7.8x the dense FP16 throughput (503.8 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 PRO 6000 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