CUDA Cores
VRAM
GB/s
0
CUDA Cores
2500
Base MHz
2800
Boost MHz
288GB HBM3e
8192-bit bus
40
FP32 TFLOPS
80
FP16 TFLOPS
1200W
TDP
1
Available Instances
$0.00/hr
Starting Price
| Architecture | Blackwell (Unknown) |
| Release Date | 2025-12-01 |
| Launch Price | $50,000.00 |
| Process | 4nm |
| Transistors | 100+ Billion |
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
module
Form Factor
The NVIDIA GB300 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 288GB of VRAM and 0 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2025, the GB300 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 GB300, pricing starts at $0.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 5000 GB/s enabling fast data transfer for large datasets.
The GB300 supports the latest CUDA compute capabilities 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.
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
| 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 |
Compare GPU specifications and cloud instances to find the best GPU for your workload.