NVIDIA DGX B200
147,456
CUDA Cores
1440GB
VRAM
64000
GB/s
Technical Specifications
147,456
CUDA Cores
1300
Base MHz
2100
Boost MHz
1440GB HBM3
40960-bit bus
Performance
400
FP32 TFLOPS
12000
FP16 TFLOPS
8000W
TDP
Cloud Availability
1
Available Instances
$2.00/hr
Starting Price
Detailed Specifications
| Architecture | Blackwell (Unknown) |
| Release Date | 2024-03-18 |
| Launch Price | $250,000.00 |
| Process | 4nm |
| Transistors | 800B |
AI Features
Gen 5
Tensor Cores
Enabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Dimensions
20in
Length
10in
Width
8U
Height
About DGX B200 GPU
The NVIDIA DGX B200 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 1440GB of VRAM and 147,456 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2024, the DGX B200 features Blackwell architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.
When considering cloud rental options for the DGX B200, pricing starts at $2.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 64000 GB/s enabling fast data transfer for large datasets.
The DGX B200 features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 4nm manufacturing process ensures efficient power consumption relative to performance output.
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External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Top GPUs for Training and Inference
| Category | Rank 1 | Rank 2 | Rank 3 |
|---|---|---|---|
| Best for Training | NVIDIA H200 | NVIDIA H100 | NVIDIA B200 |
| Best for Inference | NVIDIA A40 | NVIDIA A100 | NVIDIA A10 |
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