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RTX 5060 Ti 16GB vs RTX 3090 – Value Per VRAM

The 3090 has 24GB and refuses to age. The new 5060 Ti 16GB has less VRAM but newer silicon. A detailed look at which actually wins for AI workloads in 2026.

The RTX 3090 has refused to age out – 24 GB VRAM at a reasonable price kept it relevant for five years. The new RTX 5060 Ti 16GB undercuts it on price but gives up 8 GB of VRAM. On dedicated GPU hosting which is actually the smarter pick? The answer depends on your target model.

Contents

Specs Side by Side

Spec30905060 Ti 16GB
ArchitectureAmpere (2020)Blackwell (2025)
VRAM24 GB GDDR6X16 GB GDDR7
Memory bandwidth~936 GB/s~448 GB/s
Memory bus384-bit128-bit
FP8 tensor supportNoYes, native
TDP350 W180 W
PCIeGen 4 x16Gen 5 x8
Thermal designHot, denseModerate

What Fits Where

The VRAM delta decides what you can host:

Model3090 (24GB)5060 Ti (16GB)
Llama 3 8B FP16EasyTight
Qwen 2.5 14B FP8ComfortableTight
Qwen 2.5 32B AWQFitsDoes not fit
Gemma 2 27B INT4FitsDoes not fit
Mistral Nemo 128k contextFits at INT4INT4 single-user only

If your target model is Qwen 2.5 32B or Gemma 27B, the 3090 is the right card – the 5060 Ti simply cannot host them. If your target is Llama 3 8B or Qwen 14B, the 5060 Ti fits comfortably.

Raw Speed

Memory bandwidth favours the 3090: 936 GB/s versus 448 GB/s – roughly 2x. For bandwidth-bound decode, the 3090 runs faster on models both can host. Measured on Mistral 7B INT8:

  • 3090: ~105 t/s decode
  • 5060 Ti: ~75 t/s decode

The 3090 is ~40% faster on same-model INT8 decode.

FP8 Closes the Gap

The 5060 Ti has FP8 native. The 3090 does not. On FP8 Mistral 7B:

  • 3090: converts FP8 to FP16 at load, runs at FP16 speed ~95 t/s
  • 5060 Ti: runs native FP8, ~110 t/s

For FP8 workloads the 5060 Ti wins. Over the next 18 months more checkpoints ship in FP8, progressively tilting the balance further.

Power and Thermals

Dimension30905060 Ti
TDP350 W180 W
Under AI load~320 W~160 W
Core temp under load75-82°C65-75°C
Tokens per watt (Mistral 7B INT8)~0.33 t/s/W~0.47 t/s/W

The 5060 Ti is 40% more efficient per watt. At fixed monthly hosting cost this is invisible to you, but for datacenter density it matters – two 5060 Ti cards in one chassis draw less power than a single 3090.

Verdict

Pick the 3090 when:

  • You need models above ~14B parameters
  • Bandwidth-bound decode speed matters more than FP8
  • 128k context on Mistral Nemo with multi-user concurrency is the goal
  • You are running legacy FP16-only workloads

Pick the 5060 Ti 16GB when:

  • Target model fits in 16 GB
  • Power efficiency matters (180W vs 350W)
  • FP8 support is on your roadmap
  • Lower monthly cost is a priority
  • Newer silicon and drivers are preferred

For 7-14B workloads in 2026, the 5060 Ti is the modern choice. For 20-30B class models that need more VRAM, the 3090 remains the value leader – it’s the only card in this price range with 24 GB.

Modern Mid-Tier Blackwell

Newer silicon, lower power, native FP8. UK dedicated hosting.

Order the RTX 5060 Ti 16GB

See also: 5060 Ti vs 4060 Ti, 3090 vs 4060 Ti value, 5060 Ti or 3090 decision.

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