NVIDIA RTX 6000 Ada GPU: Specs, VRAM, Price & Benchmarks (2026)
The NVIDIA RTX 6000 Ada (48GB GDDR6 with ECC) launched in 2022. This guide covers its full specs, VRAM, SXM/PCIe differences where they apply, AI performance, and live per-GPU rental pricing on Aquanode.
Short answer on cost: the RTX 6000 Ada rents from $0.727 per GPU per hour on Aquanode.
How much VRAM does the RTX 6000 Ada have?
The RTX 6000 Ada has 48GB GDDR6 with ECC, with 960 GB/s of peak memory bandwidth.
What fits in 48GB GDDR6 with ECC of VRAM
| Model | Precision | Fits? |
|---|---|---|
| Llama 3 8B | FP16 | roughly 16GB. Fits with plenty of headroom. |
| Mixtral 8x7B | INT4 | ~24GB. Fits on a single card. |
| Llama 3.1 70B | INT4 | ~35-40GB. Fits, with some room for context. |
| Llama 3.1 70B | FP16 | ~140GB. Does not fit; needs 3+ cards. |
Approximate, based on published parameter counts and standard bytes-per-parameter rules of thumb (FP16 ≈ 2 bytes/param, INT4 ≈ 0.5-0.6 bytes/param). Real footprint also depends on KV-cache size and framework overhead.
What can the RTX 6000 Ada run?
Popular open models from small to frontier scale, with the memory each needs and how many RTX 6000 Ada cards (48GB GDDR6 with ECC each) that takes.
| Model | As published | FP8 | INT4 |
|---|---|---|---|
| Qwen/Qwen3-8B 8.2B | BF16: ~18.3 GB, 1 GPU | FP8: ~9.2 GB, 1 GPU | INT4: ~4.6 GB, 1 GPU |
| Qwen/Qwen2.5-14B-Instruct 14.8B | BF16: ~33 GB, 1 GPU | FP8: ~16.5 GB, 1 GPU | INT4: ~8.3 GB, 1 GPU |
| Qwen/Qwen3-32B 32.8B | BF16: ~73.2 GB, 2 GPUs | FP8: ~36.6 GB, 1 GPU | INT4: ~18.3 GB, 1 GPU |
| Qwen/Qwen-72B 72.3B | BF16: ~162 GB, 4 GPUs | FP8: ~80.8 GB, 2 GPUs | INT4: ~40.4 GB, 1 GPU |
| MiniMaxAI/MiniMax-M2.7 228.7B | FP8: ~256 GB, 6 GPUs | – | INT4: ~128 GB, 3 GPUs |
| deepseek-ai/DeepSeek-R1 684.5B | FP8: ~765 GB, 16 GPUs | – | INT4: ~383 GB, 8 GPUs |
Estimates: weights at the stated precision plus a flat 20% for KV cache and overhead, at a moderate context length. A dash means the precision is not offered for that model (it is already published at that size). INT4 needs a published quantized checkpoint. Open any model for a per-GPU breakdown, or use the RTX 6000 Ada VRAM calculator.
RTX 6000 Ada VRAM calculator: check which models fit in its memory at each precision.
All models that fit in 48 GB: the open models whose weights and overhead fit, at native, FP8 and INT4 precision.
RTX 6000 Ada specs
| Architecture | NVIDIA, launched 2022 |
| VRAM | 48GB GDDR6 with ECC |
| Memory bandwidth | 960 GB/s |
| TDP | 300W |
| Form factor | PCIe, dual-slot |
Specs sourced from the vendor's public datasheet/product page. See the source.
Related reading: RTX 6000 Ada guide.
GPU Glossary: What is VRAM?, Tensor Cores, CUDA Cores, TFLOPS
RTX 6000 Ada AI performance
48GB of ECC memory at 960 GB/s and 300W. More bandwidth than an A6000 or L40 at the same capacity and power, with Ada FP8 tensor cores for quantized serving. A good single-card workstation choice for 7-13B fine-tuning and for 70B-class inference in INT4.
- Memory bandwidth: 960 GB/s
No NVLink at all (the datasheet states it outright), so two of these talk over PCIe and multi-card training scales badly. NVIDIA also publishes no dense tensor-throughput figure for this card, only a sparsity number, so there is no vendor-stated TFLOPS to compare against an H100.
The cheapest RTX 6000 Ada offer right now ($0.727/GPU/hr) is about 21% below the market median of $0.922/GPU/hr.
RTX 6000 Ada price: what does it cost?
Renting. The cheapest current on-demand rate for the RTX 6000 Ada on Aquanode is $0.869/GPU/hr. Live rates range from $0.727 to $1.49 per GPU per hour, with a median of $0.922/GPU/hr. Billed by the offer's own terms; the table below shows every live rate.
| Region | $/GPU/hr | Available | VRAM | vCPU | RAM |
|---|---|---|---|---|---|
| South Korea | $0.727 | 2 | 48 GB | 32 | 126 GB |
| Des Moines, Us | $0.869 | 1 | 48 GB | 12 | 72 GB |
| Finland | $1.63 | 1 | 48 GB | 10 | 60 GB |
RTX 6000 Ada price history
Aquanode stores one snapshot of its GPU price index per UTC day. For the RTX 6000 Ada that is 25 days so far, 2026-10-06 to 2026-10-30, so this is a short history, not a long-run trend. The lowest per-GPU rate went from $0.814 on 2026-10-06 to $0.771 on 2026-10-30.
| Day (UTC) | Lowest per GPU hour | Median per GPU hour | Data-center lowest per GPU hour | Offers |
|---|---|---|---|---|
| 2026-10-30 | $0.771 | $0.929 | – | 4 |
| 2026-10-29 | $0.869 | $0.869 | $0.869 | 5 |
| 2026-10-28 | $0.716 | $0.869 | $0.869 | 9 |
| 2026-10-27 | $0.869 | $0.912 | $0.869 | 7 |
| 2026-10-26 | $0.869 | $1.22 | $0.869 | 6 |
| 2026-10-25 | $0.869 | $0.882 | $0.869 | 7 |
| 2026-10-24 | $0.869 | $0.869 | $0.869 | 5 |
| 2026-10-23 | $0.779 | $0.869 | $0.869 | 5 |
| 2026-10-22 | $0.869 | $0.903 | $0.869 | 2 |
| 2026-10-21 | $0.779 | $0.869 | $0.869 | 6 |
| 2026-10-20 | $0.779 | $0.869 | $0.869 | 9 |
| 2026-10-19 | $0.771 | $0.876 | $0.869 | 10 |
| 2026-10-18 | $0.805 | $0.876 | $0.869 | 10 |
| 2026-10-17 | $0.869 | $0.876 | $0.869 | 6 |
| 2026-10-16 | $0.814 | $0.869 | $0.869 | 20 |
| 2026-10-15 | $0.814 | $0.869 | $0.869 | 22 |
| 2026-10-14 | $0.814 | $0.869 | $0.869 | 20 |
| 2026-10-13 | $0.814 | $0.869 | $0.869 | 23 |
| 2026-10-12 | $0.716 | $0.869 | $0.869 | 27 |
| 2026-10-11 | $0.814 | $0.869 | $0.869 | 20 |
| 2026-10-10 | $0.814 | $0.869 | $0.869 | 22 |
| 2026-10-09 | $0.814 | $0.869 | $0.869 | 23 |
| 2026-10-08 | $0.814 | $0.869 | $0.869 | 22 |
| 2026-10-07 | $0.814 | $0.869 | $0.869 | 20 |
| 2026-10-06 | $0.814 | $0.869 | $0.869 | 22 |
Each row is the stored daily snapshot of the live index, copied as recorded. A dash means that day stored no figure. The same series is available as JSON and summarised in the monthly GPU price report.
How this price is calculated
All prices on this page are normalized to a per-GPU hourly rate using each offer's authoritative GPU count, so that raw price is divided by the number of GPUs it actually covers; some offers report price as already per-GPU, so those are used as-listed. An offer with a missing, zero, or invalid GPU count is excluded entirely rather than published at a guessed rate.
No offers were excluded from this snapshot for a missing or invalid price. No offers were dropped as price outliers in this snapshot.
Only the cheapest qualifying offer per provider is shown in the table above. This page regenerates at most once per hour.
Compare the RTX 6000 Ada with other GPUs
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Get notified when the price drops
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Rent a RTX 6000 Ada on Aquanode
- On-demand instances from $0.727/GPU/hr, billed by the provider's own terms, with no hardware procurement or long-term commitment.
- 8 live offers across 3 regions today.
- Set a price/availability alert above to hear the moment a cheaper or newly-available RTX 6000 Ada offer appears.
- Compare every RTX 6000 Ada offer side by side, or browse the full multi-provider GPU marketplace.
Good for
48GB of ECC memory at 960 GB/s and 300W. More bandwidth than an A6000 or L40 at the same capacity and power, with Ada FP8 tensor cores for quantized serving. A good single-card workstation choice for 7-13B fine-tuning and for 70B-class inference in INT4.
Not good for
No NVLink at all (the datasheet states it outright), so two of these talk over PCIe and multi-card training scales badly. NVIDIA also publishes no dense tensor-throughput figure for this card, only a sparsity number, so there is no vendor-stated TFLOPS to compare against an H100.
RTX 6000 Ada FAQs
How much VRAM does the RTX 6000 Ada have?
The RTX 6000 Ada has 48GB GDDR6 with ECC, with 960 GB/s of peak memory bandwidth.
What is the NVIDIA RTX 6000 Ada?
The NVIDIA RTX 6000 Ada is a GPU released in 2022, with 48GB GDDR6 with ECC of memory and a 300W power envelope. See the full spec table above for interconnect, form factor and tensor-throughput details.
How much does it cost to rent a RTX 6000 Ada?
Live RTX 6000 Ada rental prices currently range from $0.727 to $1.49 per GPU per hour, with a median of $0.922 per GPU per hour.
What's the cheapest RTX 6000 Ada rate?
The lowest current RTX 6000 Ada rate on Aquanode is $0.727 per GPU per hour in South Korea.
What is the RTX 6000 Ada good for?
48GB of ECC memory at 960 GB/s and 300W. More bandwidth than an A6000 or L40 at the same capacity and power, with Ada FP8 tensor cores for quantized serving. A good single-card workstation choice for 7-13B fine-tuning and for 70B-class inference in INT4.
What are the RTX 6000 Ada's limitations?
No NVLink at all (the datasheet states it outright), so two of these talk over PCIe and multi-card training scales badly. NVIDIA also publishes no dense tensor-throughput figure for this card, only a sparsity number, so there is no vendor-stated TFLOPS to compare against an H100.
Is renting cheaper than buying?
Renting avoids the upfront hardware cost and lets you match spend to actual usage. A rented RTX 6000 Ada at $0.727/hr only costs money while it's running, whereas buying ties up capital in hardware that keeps depreciating whether it's in use or not. Which is cheaper depends on how continuously you'd run it; short or bursty workloads usually favor renting.
How is the RTX 6000 Ada price calculated?
All prices are normalized to a per-GPU hourly rate using each offer's authoritative GPU count, which the raw price is divided by; some offers report price as already per-GPU. Offers whose price can't be safely normalized, or whose rate is an extreme outlier against the rest of the market, are excluded.
RTX 6000 Ada price by region
Related guides
Other models in the same generation, then the rest of the GPU index.
