NVIDIA RTX 6000 Ada
18,176
CUDA Cores
48GB
VRAM
960
GB/s
Technical Specifications
18,176
CUDA Cores
915
Base MHz
2505
Boost MHz
48GB GDDR6
384-bit bus
Performance
91.1
FP32 TFLOPS
182.2
FP16 TFLOPS
300W
TDP
Cloud Availability
5
Available Instances
$0.76/hr
Starting Price
Detailed Specifications
| Architecture | Ada Lovelace (Unknown) |
| Release Date | 2024-01-15 |
| Launch Price | $6,800.00 |
| Process | 4nm |
| Transistors | 76.3B |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Dimensions
10.5in
Length
4.4in
Width
2-slot
Height
About RTX 6000 Ada GPU
The NVIDIA RTX 6000 Ada is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 48GB of VRAM and 18,176 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2024, the RTX 6000 Ada features Ada Lovelace 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 RTX 6000 Ada, pricing starts at $0.76/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 960 GB/s enabling fast data transfer for large datasets.
The RTX 6000 Ada features CUDA compute capability 8.9 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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