ASUS Ascent GX10
0
CUDA Cores
128GB
VRAM
2048
GB/s
Technical Specifications
0
CUDA Cores
2500
Base MHz
2500
Boost MHz
128GB LPDDR5x Unified
4096-bit bus
Performance
40
FP32 TFLOPS
80
FP16 TFLOPS
180W
TDP
Cloud Availability
0
Available Instances
$0.00/hr
Starting Price
Detailed Specifications
| Architecture | Blackwell (Unknown) |
| Release Date | 2025-06-01 |
| Launch Price | $3,999.00 |
| Process | 4nm |
| Transistors | Unknown |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Additional Specifications
dual-fan vapor chamber
Cooling
About Ascent GX10 GPU
The ASUS Ascent GX10 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 128GB of VRAM and 0 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2025, the Ascent GX10 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 Ascent GX10, 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 2048 GB/s enabling fast data transfer for large datasets.
The Ascent GX10 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.
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.