Google TPU v7 Ironwood
0
CUDA Cores
192GB
VRAM
7370
GB/s
Technical Specifications
0
CUDA Cores
0
Base MHz
0
Boost MHz
192GB HBM3e
24576-bit bus
Performance
2307
FP32 TFLOPS
4614
FP16 TFLOPS
400W
TDP
Cloud Availability
0
Available Instances
$0.00/hr
Starting Price
Detailed Specifications
| Architecture | TPU v7 (Unknown) |
| Release Date | 2024-01-15 |
| Launch Price | $2,000.00 |
| Process | 3nm |
| Transistors | Unknown |
AI Features
v7
Tensor Cores
Disabled
Transformer Engine
Supported
Flash Attention
Physical Specifications
Additional Specifications
liquid
Cooling
About TPU v7 Ironwood GPU
The Google TPU v7 Ironwood is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 192GB of VRAM and 0 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2024, the TPU v7 Ironwood features TPU v7 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 TPU v7 Ironwood, 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 7370 GB/s enabling fast data transfer for large datasets.
The TPU v7 Ironwood features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 3nm manufacturing process ensures efficient power consumption relative to performance output.
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 |
Compare GPU specifications and cloud instances to find the best GPU for your workload.