NVIDIA B200

NVIDIA192GB HBM3eSXMBlackwell

Data updated 2026-11-04 15:09 UTC · refreshed every 5 min

Current Price

$11.31/hr

From $10.95/hr · lowest live offer

14 GPU · Good availability

Current Price

$11.31

-14.3% (24h)

Available Now

14 GPU

Good availability

Total in Network

168 GPU

Live data

Utilization

91.7%

High

Market history

Price Tracking

USD/hour (minimum · median)

Available GPUs

Ready to rent

Total in Network

Infrastructure Growth

Which LLMs run on one NVIDIA B200

Open VRAM calculator with B200

Estimated with our VRAM calculator for a single card: 8K context, 4 concurrent users, vLLM-style serving.

Largest that fitsINT4 / AWQ

DeepSeek-V4-Flash

284B MoE · 13B active

146.3 of 192 GB76%

~154 tok/s per stream

Details

Where the memory goes

  • Model weights143.59 GB
  • KV cache0.24 GB
  • Activations0.03 GB
  • CUDA & framework2.49 GB
Precision
INT4 / AWQ
Serving preset
8K context × 4 users
Users at this context
752
Spare context in leftover VRAM
3.6M
Fit score
66/100 · High
Open in VRAM calculator
BalancedFP8

Qwen3.5-122B-A10B

122B MoE · 10B active

144.6 of 192 GB75%

~108 tok/s per stream

Details

Where the memory goes

  • Model weights142.05 GB
  • KV cache0.81 GB
  • Activations0.04 GB
  • CUDA & framework1.66 GB
Precision
FP8
Serving preset
8K context × 4 users
Users at this context
239
Spare context in leftover VRAM
1.2M
Fit score
67/100 · High
Open in VRAM calculator
CompactFP16

Qwen3.6 35B A3B

35B MoE · 3B active

82.4 of 192 GB43%

~149 tok/s per stream

Details

Where the memory goes

  • Model weights80.50 GB
  • KV cache0.67 GB
  • Activations0.05 GB
  • CUDA & framework1.19 GB
Precision
FP16
Serving preset
8K context × 4 users
Users at this context
657
Spare context in leftover VRAM
4.4M
Fit score
89/100 · Moderate
Open in VRAM calculator

Estimates, not benchmarks: real usage depends on the runtime, context and batch settings.

Technical Specifications

Memory

192GB HBM3e

FP32 Performance

180 TFLOPS

Tensor Performance

9000 TFLOPS

Memory Bandwidth

8.0 TB/s

Architecture

Blackwell

TDP

1000W

FP64 Performance

90 TFLOPS

CUDA Cores

18432

Tensor Cores

576

Ideal Use Cases

Large Language ModelsAI TrainingHPCScientific ComputingDeep Learning

About NVIDIA B200

The NVIDIA B200 is the next-generation Blackwell data center accelerator with 192GB HBM3e memory, delivering massive AI training and inference performance.

The NVIDIA B200 features 192GB of HBM3e memory with 8.0 TB/s bandwidth, making it excellent for large language models, ai training, hpc. With 9000 TFLOPS tensor performance and 180 TFLOPS FP32 compute, this NVIDIA Blackwell GPU delivers exceptional performance for demanding workloads.

Currently, 168 GPU B200 GPUs are available in the GPUniq network with 91.7% utilization. The average rental price is $11.31 per hour, with 14 GPU ready for immediate deployment.

Frequently Asked Questions

How much does it cost to rent NVIDIA B200?

The current rental price for NVIDIA B200 is $11.31 per hour on GPUniq. Prices may vary based on demand and availability.

What is NVIDIA B200 best used for?

NVIDIA B200 is ideal for Large Language Models, AI Training, HPC, Scientific Computing, Deep Learning. With 192GB of HBM3e memory and 9000 TFLOPS tensor performance, it excels at demanding AI and compute workloads.

How many NVIDIA B200 GPUs are available for rent?

Currently, there are 14 GPU available for immediate rental out of 168 GPU total in the GPUniq network. The current utilization is 91.7%.

Which LLMs can run on NVIDIA B200?

On a single NVIDIA B200, our VRAM calculator fits DeepSeek-V4-Flash (INT4 / AWQ, 146.3 of 192 GB); Qwen3.5-122B-A10B (FP8, 144.6 of 192 GB); Qwen3.6 35B A3B (FP16, 82.4 of 192 GB) — estimated at 8K context with 4 concurrent users.

What are the specifications of NVIDIA B200?

NVIDIA B200 features 192GB HBM3e memory, 180 TFLOPS FP32 performance, 9000 TFLOPS tensor performance, 8.0 TB/s memory bandwidth, and 1000W TDP. It uses the Blackwell architecture.

GPU rental guides

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$11.31/hr

B200 · 14 GPU

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