datacenter
Nvidia GB300 mieten.
Blackwell
288GB VRAM
2700W
Where to rent it
All providers carrying this GPU.
No fresh prices yet.
FAQ
Frequently asked.
How much does it cost to rent the Nvidia GB300?
No provider has listed a Nvidia GB300 in the last 24 hours, so there is no current price. Listings for older or less common cards come and go; the price history below shows when it was last available.
What AI models can the Nvidia GB300 run?
With 288 GB it holds a 70B model at INT8/FP8 (about 70 GB of weights) on one card, or at 4-bit with plenty of room for long contexts and many concurrent requests. It can QLoRA fine-tune 70B models. FP16 70B (about 140 GB) needs two cards.
Which models are recommended for the Nvidia GB300?
13 models in our catalog have a recommended configuration for this card, with the quantization that fits its 288 GB — see the AI models tab.
Why does the Nvidia GB300 cost different amounts on different providers?
Marketplaces such as Vast.ai and Clore.ai list machines from independent hosts who set their own prices, so competition pushes rates down but reliability varies by host. Operator clouds such as Lambda and the hyperscalers charge more for consistent hardware, support and networking. Prices here are per GPU, so they compare directly.
How is the Nvidia GB300 price calculated?
We collect listings from each provider's public API or price page — every 5–10 minutes for marketplaces, up to daily for operator clouds — and show the median hourly price per provider from the last 24 hours, so one unusually cheap listing doesn't set the headline. Details are on the methodology page.
AI models
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP16
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
FP8
INT4
INT4
INT4
INT4
INT4
INT4
Models that run on this GPU.
GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the Nvidia GB300.
Command R+
by Cohere
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
104B
Context
128K tokens
GLM-4.5-Air
by Zhipu AI
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
106B (12B active)
Context
128K tokens
Z.ai: GLM 4.6V
by Zhipu AI
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
108B
Context
131K tokens
Meta: Llama 4 Scout
by Meta AI
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
109B
Context
10M tokens
MiniMax: MiniMax M2.7
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
230B
Context
205K tokens
MiniMax: MiniMax M2.5
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
230B
Context
205K tokens
MiniMax: MiniMax M2.1
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
230B
Context
205K tokens
MiniMax-Text-01
by MiniMax
Required GPUs
4× Nvidia GB300
Total VRAM
1152 GB
Parameters
456B (46B active)
Context
4M tokens
MiniMax: MiniMax M2
by MiniMax
Required GPUs
4× Nvidia GB300
Total VRAM
1152 GB
Parameters
456B
Context
205K tokens
Baidu: ERNIE 4.5 VL 424B A47B
by Baidu
Required GPUs
4× Nvidia GB300
Total VRAM
1152 GB
Parameters
424B
Context
131K tokens
MiniMax: MiniMax M1
by MiniMax
Required GPUs
4× Nvidia GB300
Total VRAM
1152 GB
Parameters
456B
Context
1M tokens
MiniMax: MiniMax-01
by MiniMax
Required GPUs
4× Nvidia GB300
Total VRAM
1152 GB
Parameters
457B
Context
1M tokens
MiniMax M2.7
by MiniMax
Required GPUs
4× Nvidia GB300
Total VRAM
1152 GB
Parameters
456B
Context
197K tokens
MiniMax: MiniMax M2.7
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
230B
Context
205K tokens
MiniMax: MiniMax M2.5
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
230B
Context
205K tokens
MiniMax: MiniMax M2.1
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
230B
Context
205K tokens
MiniMax-Text-01
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
456B (46B active)
Context
4M tokens
MiniMax: MiniMax M2
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
456B
Context
205K tokens
Baidu: ERNIE 4.5 VL 424B A47B
by Baidu
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
424B
Context
131K tokens
MiniMax: MiniMax M1
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
456B
Context
1M tokens
MiniMax: MiniMax-01
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
457B
Context
1M tokens
MiniMax M2.7
by MiniMax
Required GPUs
2× Nvidia GB300
Total VRAM
576 GB
Parameters
456B
Context
197K tokens
MiniMax-Text-01
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
456B (46B active)
Context
4M tokens
MiniMax: MiniMax M2
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
456B
Context
205K tokens
Baidu: ERNIE 4.5 VL 424B A47B
by Baidu
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
424B
Context
131K tokens
MiniMax: MiniMax M1
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
456B
Context
1M tokens
MiniMax: MiniMax-01
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
457B
Context
1M tokens
MiniMax M2.7
by MiniMax
Required GPUs
1× Nvidia GB300
Total VRAM
288 GB
Parameters
456B
Context
197K tokens
Renting for inference?
Pair these models with the cheapest provider on the rental table.
See rental rates on the Overview tab →
FAQ
AI models on this GPU.
How much does it cost to rent the Nvidia GB300?
No provider has listed a Nvidia GB300 in the last 24 hours, so there is no current price. Listings for older or less common cards come and go; the price history below shows when it was last available.
What AI models can the Nvidia GB300 run?
With 288 GB it holds a 70B model at INT8/FP8 (about 70 GB of weights) on one card, or at 4-bit with plenty of room for long contexts and many concurrent requests. It can QLoRA fine-tune 70B models. FP16 70B (about 140 GB) needs two cards.
Which models are recommended for the Nvidia GB300?
13 models in our catalog have a recommended configuration for this card, with the quantization that fits its 288 GB — see the AI models tab.
Why does the Nvidia GB300 cost different amounts on different providers?
Marketplaces such as Vast.ai and Clore.ai list machines from independent hosts who set their own prices, so competition pushes rates down but reliability varies by host. Operator clouds such as Lambda and the hyperscalers charge more for consistent hardware, support and networking. Prices here are per GPU, so they compare directly.
How is the Nvidia GB300 price calculated?
We collect listings from each provider's public API or price page — every 5–10 minutes for marketplaces, up to daily for operator clouds — and show the median hourly price per provider from the last 24 hours, so one unusually cheap listing doesn't set the headline. Details are on the methodology page.