RTX PRO 6000 WS vs T4: Specs, VRAM & Price
Short answer: choose the RTX PRO 6000 WS when 96 GB of VRAM is the gating requirement. Choose the T4 when 16 GB is enough for the workload and the lower hourly rate points that way.
The RTX PRO 6000 WS has 96 GB of VRAM; the T4 has 16 GB.
You can rent both by the hour, no purchase required. RTX PRO 6000 WS from $1.47/GPU/hr; T4 from $0.185/GPU/hr. The T4 is 87% cheaper at the entry rate.
RTX PRO 6000 WS
Good for training and serving frontier-scale LLMs
T4
Good for inference workloads on older-generation hardware
Last updated: 2026-10-10 22:01:13 UTCRefreshes hourly
Specs side by side
| Spec | RTX PRO 6000 WS | T4 |
|---|---|---|
| VRAM | 96 GB | 16 GB |
| Memory bandwidth | 1,792 GB/s | 320+ GB/s |
| Architecture | Blackwell | Turing |
| Compute capability | 12.0 | 7.5 |
| Precisions in hardware | FP32, FP16, BF16, FP8, INT4 | FP32, FP16, INT4 |
| Peak FP16/BF16 tensor TFLOPS | – | 65 TFLOPS |
| Max board power (TDP) | 600W | 70W |
| Form factor | – | PCIe |
| Regions | 1 | 1 |
On-demand price
| Rate | RTX PRO 6000 WS | T4 |
|---|---|---|
| Lowest per GPU/hr | $1.47/GPU/hr (cheapest overall) | $0.185/GPU/hr (cheapest overall) |
Which is better for AI: RTX PRO 6000 WS or T4?
Choose the RTX PRO 6000 WS when 96 GB of VRAM is the gating requirement. Choose the T4 when 16 GB is enough for the workload and the lower hourly rate points that way.
RTX PRO 6000 WS vs T4: common questions
Is the RTX PRO 6000 WS or the T4 better for AI?
Short answer: choose the RTX PRO 6000 WS when 96 GB of VRAM is the gating requirement. Choose the T4 when 16 GB is enough for the workload and the lower hourly rate points that way.
Is the RTX PRO 6000 WS or the T4 cheaper to rent?
On Aquanode's live marketplace the RTX PRO 6000 WS starts at $1.47/GPU/hr (median $1.69/GPU/hr) and the T4 starts at $0.185/GPU/hr (median $0.185/GPU/hr). The T4 is the cheaper of the two at the entry rate, by 87%.
What is the difference between the RTX PRO 6000 WS and the T4?
The RTX PRO 6000 WS has 96 GB of VRAM against the T4's 16 GB; the RTX PRO 6000 WS is a Blackwell part and the T4 is Turing (compute capability 12.0 vs 7.5); only the RTX PRO 6000 WS supports BF16, FP8 compute. On price, the RTX PRO 6000 WS lists from $1.47/GPU/hr and the T4 from $0.185/GPU/hr.
How widely available are the RTX PRO 6000 WS and the T4?
The RTX PRO 6000 WS is listed in 1 region and the T4 in 1 region right now.
How much does 1,000 GPU-hours cost on the RTX PRO 6000 WS vs the T4?
At the lowest rates listed today, 1,000 GPU-hours costs $1,471 on the RTX PRO 6000 WS and $185 on the T4, a difference of $1,286 for the same runtime. Rates are per GPU per hour and update hourly.
How much VRAM does the RTX PRO 6000 WS have compared to the T4?
The RTX PRO 6000 WS has 96 GB of VRAM; the T4 has 16 GB.
Does the RTX PRO 6000 WS or the T4 support NVLink?
Neither the RTX PRO 6000 WS 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 PRO 6000 WS 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 PRO 6000 WS 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.
More RTX PRO 6000 WS comparisons
More T4 comparisons
Related reading: RTX PRO 6000 WS pricing and specs, The NVIDIA Inception program, explained, Google Colab alternatives for dedicated GPU access, Free GPU credits for students and researchers, and RunPod volume disk vs. network volume, compared.
