RTX 5080 vs T4: Specs, VRAM & Price

Short answer: choose the RTX 5080 when your workload uses FP8 quantized inference or serving. Choose the T4 when your workload is BF16/FP32-only and FP8 buys you nothing.

Both the RTX 5080 and the T4 ship with 16 GB of VRAM.

You can rent both by the hour, no purchase required. RTX 5080 from $0.309/GPU/hr; T4 from $0.162/GPU/hr. The T4 is 48% cheaper at the entry rate.

RTX 5080

Good for inference and light fine-tuning workloads

$0.309/hr
Lowest / GPU
$0.589/hr
Median / GPU
16 GB
VRAM
Blackwell
Architecture

T4

Good for inference workloads on older-generation hardware

$0.162/hr
Lowest / GPU
$0.162/hr
Median / GPU
16 GB
VRAM
Turing
Architecture

Last updated: 2026-11-03 UTCRefreshes every 6 hours

Specs side by side

SpecRTX 5080T4
VRAM16 GB16 GB
Memory bandwidth960 GB/s320+ GB/s
ArchitectureBlackwellTuring
Compute capability12.07.5
Precisions in hardwareFP32, FP16, BF16, FP8, INT4FP32, FP16, INT4
Peak FP16/BF16 tensor TFLOPS225.1 TFLOPS65 TFLOPS
Peak FP8 tensor TFLOPS450.2 TFLOPS–
Max board power (TDP)360W70W
Form factor–PCIe
Regions11

On-demand price

RateRTX 5080T4
Lowest per GPU/hr$0.309/GPU/hr (cheapest overall)$0.162/GPU/hr (cheapest overall)

Which is better for AI: RTX 5080 or T4?

Choose the RTX 5080 when your workload uses FP8 quantized inference or serving. Choose the T4 when your workload is BF16/FP32-only and FP8 buys you nothing.

RTX 5080 vs T4: common questions

Is the RTX 5080 or the T4 better for AI?

Short answer: choose the RTX 5080 when your workload uses FP8 quantized inference or serving. Choose the T4 when your workload is BF16/FP32-only and FP8 buys you nothing.

Is the RTX 5080 or the T4 cheaper to rent?

On Aquanode's live marketplace the RTX 5080 starts at $0.309/GPU/hr (median $0.589/GPU/hr) and the T4 starts at $0.162/GPU/hr (median $0.162/GPU/hr). The T4 is the cheaper of the two at the entry rate, by 48%.

What is the difference between the RTX 5080 and the T4?

Both cards report 16 GB of VRAM; the RTX 5080 is a Blackwell part and the T4 is Turing (compute capability 12.0 vs 7.5); only the RTX 5080 supports BF16, FP8 compute. On price, the RTX 5080 lists from $0.309/GPU/hr and the T4 from $0.162/GPU/hr.

How widely available are the RTX 5080 and the T4?

The RTX 5080 is listed in 1 region and the T4 in 1 region right now.

How much does 1,000 GPU-hours cost on the RTX 5080 vs the T4?

At the lowest rates listed today, 1,000 GPU-hours costs $309 on the RTX 5080 and $162 on the T4, a difference of $147 for the same runtime. Rates are per GPU per hour and update hourly.

How much VRAM does the RTX 5080 have compared to the T4?

Both the RTX 5080 and the T4 ship with 16 GB of VRAM.

Does the RTX 5080 or the T4 support NVLink?

Neither the RTX 5080 nor the T4 has a dedicated GPU-to-GPU interconnect.

How this comparison is calculated

Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.

Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.

Memory bandwidth, tensor TFLOPS, NVLink/interconnect and max board power are the same verified-from-datasheet figures shown on each model's own RTX 5080 page and T4 page, which link the primary vendor source for that model. A dash here means Aquanode hasn't verified that figure from a primary source yet, never a guess.

Go further

Check what fits in each card's memory with the RTX 5080 VRAM calculator and the T4 VRAM calculator, see vendor-published throughput in the GPU benchmarks and specs table, or browse every model by generation in the GPU index.

Related on Aquanode: P40 vs T4 specs, P4 vs T4 specs, RTX 5080 vs RTX PRO 6000 WS specs, RTX 5080 price in South Korea, and T4 price in South Korea. Browse the full lists: Compare any two GPUs side by side and RTX 5080 price in every region.

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