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NVIDIA RTX 6000 Ada Generation

48 GB VRAM300 W TDP6 providers22 offerings4 regions

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. Currently available from 6 providers starting at $0.63/GPU/hour, with a market median of $0.93/GPU/hour across 22 configurations.

Cheapest
$0.630/hr
Vast.ai
Median
$0.930/hr
across 22 offerings
Most expensive
$1.070/hr
Runcrate
90-day trend
-12.8%
median rate

Hardware specifications

Same across all providers

TDP
300 W
Memory bandwidth
960 GB/s
Architecture
Ada Lovelace
FP32 performance
91.1 TFLOPS
Brand
NVIDIA
Series
RTX Ada Generation
Market price history

Median price across all providers

Prices updated 3 hours ago

6 offerings from 6 providers

Sorted by price ascending. Compare configurations side-by-side.

ProviderCountvCPURAMRegionPer GPU hourTotal/hrAction
Runpod logoRunpodPromoted
Up to$500creditAffiliate promotion — we may earn a commission.
×11662 GB
United States
$0.840$0.84Launch
Vast.ai logoVast.aiReferral linkTrendingCheapest
×11263 GB
GermanyNetherlandsSouth Korea+1
From$0.630
+10.9% 30d
From$0.63
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×11662 GB
United States
$0.840
$0.84
Launch
×11280 GB
United States
$1.020
-6.4% 30d
From$1.02
Launch
×11060 GB--
$1.040
From$1.04
Launch
Sesterce Cloud logoSesterce CloudReferral link
×452320 GB
United States
From$1.067
-23.6% 30d
From$4.27
Launch
×11280 GB
United States
$1.070
0.0% 30d
From$1.07
Launch

LLMs that fit on the NVIDIA RTX 6000 Ada Generation

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. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-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

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Frequently asked questions

How much does the RTX 6000 Ada Generation cost per hour?
The RTX 6000 Ada Generation starts at $0.63 per GPU-hour, with a median of $0.93 across 22 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the RTX 6000 Ada Generation?
7 providers currently list the RTX 6000 Ada Generation: Sesterce Cloud, AceCloud, Omega Gradient, Runcrate, Vast.ai, Verda and 1 more. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the RTX 6000 Ada Generation have?
The RTX 6000 Ada Generation comes with 48 GB of VRAM, which determines the largest models and batch sizes it can hold in memory for training and inference.
Which LLMs can I run on the RTX 6000 Ada Generation?
With 48 GB of VRAM, a single RTX 6000 Ada Generation can serve models such as Qwen3.6 35B-A3B, Qwen3 32B, Gemma 4 31B, GLM-4.7 Flash. The table above lists the estimated VRAM for each model at 16-bit, 8-bit and 4-bit precision, including the multi-GPU configurations needed for larger models.
What's the biggest LLM I can run on multiple RTX 6000 Ada Generation GPUs?
The largest models we track that fit across several RTX 6000 Ada Generation cards are DeepSeek V4 Flash on 4 GPUs at 4-bit, Solar Open2 250B on 8 GPUs at 8-bit, Qwen3 235B-A22B on 4 GPUs at 4-bit. A multi-GPU configuration means you rent and pay for every card for the whole run, and splitting a model across cards costs throughput as well: the GPUs exchange activations on every token, so performance depends on how fast they are wired together. We do not track interconnect, so check the provider's node specification. The table above gives the smallest configuration for each model at 16-bit, 8-bit and 4-bit precision.
Where is the RTX 6000 Ada Generation cheapest?
The lowest on-demand price we currently track for the RTX 6000 Ada Generation is $0.63 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.