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NVIDIA B300

288 GB VRAM2,500 FP16 TFLOPS1,400 W TDP5 providers15 offerings6 regions

The NVIDIA B300 is an enterprise-class GPU built on the Blackwell architecture, featuring 288 GB of memory with 8,000 GB/s of memory bandwidth and a 1,400 W TDP. It delivers 75 TFLOPS of FP32 performance and 2,500 TFLOPS of FP16 tensor performance. Currently available from 5 providers starting at $5.63/GPU/hour, with a market median of $7.89/GPU/hour across 15 configurations.

Cheapest
$5.630/hr
Vast.ai
Median
$7.890/hr
across 15 offerings
Most expensive
$12.510/hr
Vast.ai
90-day trend
-2.4%
median rate

Hardware specifications

Same across all providers

Memory
288 GB
HBM3
What LLMs fit? ↓
FP16 performance
2,500 TFLOPS
peak
TDP
1400 W
Memory bandwidth
8,000 GB/s
Architecture
Blackwell
FP32 performance
75 TFLOPS
Brand
NVIDIA
Series
B300
Market price history

Median price across all providers

Prices updated 1 hour ago

7 offerings from 5 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.
×128188 GB
IcelandUnited StatesNetherlands
$7.890$7.89Launch
Vast.ai logoVast.aiReferral linkTrendingCheapest
×482837 GB
TaiwanCanada
From$5.630
+42.9% 30d
From$22.52
Launch
×8
Canada
$6.900
$55.20
×82241.88 TB
Canada
$7.400
$59.20
Launch
×130255 GB--
$7.500
From$7.50
Launch
Runpod logoRunpodReferral linkTrending
Up to$500credit
×128188 GB
IcelandUnited StatesNetherlands
$7.890
0.0% 30d
$7.89
Launch
Sesterce Cloud logoSesterce CloudReferral link
×41201,020 GB--
From$8.588
0.0% 30d
From$34.35
×82243.75 TB
France
From$8.734
+1.5% 30d
From$69.87
Launch

LLMs that fit on the NVIDIA B300

Estimated VRAM for popular open-weight LLMs at 16-bit (FP16/BF16), 8-bit (FP8/INT8) and 4-bit (INT4/MXFP4) precision, against 288 GB per GPU. Showing the 12 largest that fit.

ModelParameters16-bit8-bit4-bit
Kimi K3
Moonshot AI
2.8T
104B active
Not released
Not released
1,873 GB
8× · 431 GB free
DeepSeek V4 Pro
DeepSeek
1.6T
49B active
Not released
Not released
1,038 GB
4× · 114 GB free
Kimi K2.5
Moonshot AI
1T
32B active
Not released
Not released
714 GB
4× · 438 GB free
GLM-5.2
Z.ai
753B
1,808 GB
8× · 496 GB free
994 GB
4× · 158 GB free
579 GB
4× · 573 GB free
or 2× · 19% spare
DeepSeek R1
DeepSeek
671B
37B active
Not released
826 GB
4× · 326 GB free
481 GB
2× · 95 GB free
DeepSeek V4 Flash
DeepSeek
284B
Not released
Not released
192 GB
1× · 96 GB free
Solar Open2 250B
Upstage
250B
15B active
601 GB
4× · 551 GB free
or 2× · 15% spare
330 GB
2× · 246 GB free
or 1× · 4% spare
192 GB
1× · 96 GB free
Qwen3 235B-A22B
Alibaba
235B
22B active
564 GB
2× · 12 GB free
310 GB
2× · 266 GB free
or 1× · 11% spare
181 GB
1× · 107 GB free
Laguna-S 2.1
Poolside
118B
8B active
282 GB
1× · 5.8 GB free
155 GB
1× · 133 GB free
90 GB
1× · 198 GB free
gpt-oss-120b
OpenAI
117B
5.1B active
Not released
Not released
78 GB
1× · 210 GB free
Qwen3.6 35B-A3B
Alibaba
35B
3B active
86 GB
1× · 202 GB free
47 GB
1× · 241 GB free
28 GB
1× · 260 GB free
Qwen3 32B
Alibaba
32.8B
79 GB
1× · 209 GB free
43 GB
1× · 245 GB free
25 GB
1× · 263 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 B300 cost per hour?
The B300 starts at $5.63 per GPU-hour, with a median of $7.89 across 15 available configurations. Actual pricing depends on the provider, region, and whether you rent on-demand, spot or reserved.
Which cloud providers offer the B300?
7 providers currently list the B300: Sesterce Cloud, Hyperstack, Scaleway, Vast.ai, Verda, Runpod and 1 more. Compare their hourly pricing, regions and machine specs in the table above.
How much VRAM does the B300 have?
The B300 comes with 288 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 B300?
With 288 GB of VRAM, a single B300 can serve models such as DeepSeek V4 Flash, Solar Open2 250B, Qwen3 235B-A22B, Laguna-S 2.1. 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 B300 GPUs?
The largest models we track that fit across several B300 cards are Kimi K3 on 8 GPUs at 4-bit, DeepSeek V4 Pro on 4 GPUs at 4-bit, Kimi K2.5 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 B300 cheapest?
The lowest on-demand price we currently track for the B300 is $5.63 per GPU-hour at Vast.ai. Because providers update pricing and availability frequently, check the live table above before you launch.