NVIDIA RTX 6000 Ada Generation
48 GB · Ada Lovelace
Live NVIDIA RTX 6000 Ada Generation cloud prices from 7 providers, updated .
10 offerings from 7 providers
| Provider | Per GPU / hour | Action | |
|---|---|---|---|
LiumSponsored 1 GPU | $0.79 | Launch | |
1 GPU | from$0.62 | Launch | |
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1 GPU | $0.70 | Launch | |
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1 GPU | from$0.76 | Launch | |
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1 GPU | $0.77 | ||
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Lium*Up to$5credit 1 GPU | from$0.79 | Launch | |
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4 GPUs · $4.27 total | from$1.067 | ||
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Runpod*Up to$500credit 1 GPU | $1.09 | ||
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1 GPU | $1.20 | Launch | |
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1 GPU | $1.59 | Launch | |
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1 GPU | $1.60 | Launch | |
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* We may earn a referral fee or commission from some providers when you sign up through our links. This does not affect ranking or ordering.
NVIDIA RTX 6000 Ada Generation price history
The median NVIDIA RTX 6000 Ada Generation price is down 22% since November 17, 2025.
LLMs that fit on the NVIDIA RTX 6000 Ada Generation
Popular open-weight LLMs against 48 GB per GPU: weights plus room for the KV cache, at the best precision that fits. Showing the 12 largest that fit.
Runs on one NVIDIA RTX 6000 Ada Generation
- Qwen3.6 35B-A3B8-bit · 47 GB
- Qwen3 32B8-bit · 43 GB
- Gemma 4 31B8-bit · 41 GB
- GLM-4.7 Flash8-bit · 41 GB
- Qwen3.6 27B8-bit · 37 GB
- Mistral Small 3.2 24B8-bit · 32 GB
- gpt-oss-20b4-bit · 17 GB
Needs more than one NVIDIA RTX 6000 Ada Generation
- DeepSeek V4 Flash4 GPUs · 4-bit
- Solar Open2 250B8 GPUs · 8-bit
- Qwen3 235B-A22B4 GPUs · 4-bit
- Laguna-S 2.12 GPUs · 4-bit
- gpt-oss-120b2 GPUs · 4-bit
Full table with every precision
Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 48 GB per GPU.
| Model | Parameters | 16-bit | 8-bit | 4-bit |
|---|---|---|---|---|
| DeepSeek V4 Flash DeepSeek | 284B | — Not released | — Not released | 192 GB Barely fits on 4× |
| Solar Open2 250B Upstage | 250B 15B active | 601 GB Too large | 330 GB 8× · 54 GB free | 192 GB 8× · 192 GB free or 4× · 19% spare |
| Qwen3 235B-A22B Alibaba | 235B 22B active | 564 GB Too large | 310 GB 8× · 74 GB free | 181 GB 4× · 11 GB free |
| Laguna-S 2.1 Poolside | 118B 8B active | 282 GB 8× · 102 GB free | 155 GB 4× · 37 GB free | 90 GB 2× · 5.7 GB free |
| gpt-oss-120b OpenAI | 117B 5.1B active | — Not released | — Not released | 78 GB 2× · 18 GB free |
| Qwen3.6 35B-A3B Alibaba | 35B 3B active | 86 GB 2× · 9.7 GB free | 47 GB Barely fits on 1× | 28 GB 1× · 20 GB free |
| Qwen3 32B Alibaba | 32.8B | 79 GB 2× · 17 GB free | 43 GB 1× · 4.8 GB free | 25 GB 1× · 23 GB free |
| Gemma 4 31B Google | 31.3B | 75 GB 2× · 21 GB free | 41 GB 1× · 6.7 GB free | 24 GB 1× · 24 GB free |
| GLM-4.7 Flash Z.ai | 31.2B | 75 GB 2× · 21 GB free | 41 GB 1× · 6.8 GB free | 24 GB 1× · 24 GB free |
| Qwen3.6 27B Alibaba | 27.8B | 67 GB 2× · 29 GB free | 37 GB 1× · 11 GB free | 21 GB 1× · 27 GB free |
| Mistral Small 3.2 24B Mistral AI | 24B | 58 GB 2× · 38 GB free | 32 GB 1× · 16 GB free | 18 GB 1× · 30 GB free |
| gpt-oss-20b OpenAI | 21B 3.6B active | — Not released | — Not released | 17 GB 1× · 31 GB free |
Estimates: model weights plus 20% for KV cache and runtime overhead, at short context lengths. Long contexts and large batches need more. Rows marked “tight” hold the weights but not that full margin. A ×N figure is the total VRAM across N of these GPUs and makes no claim about interconnect throughput. How we estimate this · Start from a model instead
NVIDIA RTX 6000 Ada Generation specs
The NVIDIA RTX 6000 Ada Generation is an enterprise-class GPU built on the Ada Lovelace architecture, featuring 48 GB of memory with 960 GB/s of memory bandwidth and a 300 W TDP. It delivers 91.1 TFLOPS of FP32 performance.
- Memory bandwidth
- 960 GB/s
- FP32 performance
- 91.1 TFLOPS
- Architecture
- Ada Lovelace
- TDP
- 300 W
- Brand
- NVIDIA
- Series
- RTX Ada Generation






