A100
80GB HBM2e per GPU
View GPU All GPUsTesla V100
Volta architecture32GB HBM2 per GPU
GPU Catalog / NVIDIA
Tesla V100
GPU infrastructure.
A Volta data-center GPU for established deep-learning and scientific-computing applications.
- Architecture
- Volta
- GPU memory
- 32GB HBM2 per GPU
- Published from
- $0.16 / hr
Published pricing
Available configurations.
Current Geodd hourly rates. GPU memory totals reflect the accelerator count in each published configuration.
Hardware profile
Where Tesla V100 fits.
The listed Tesla V100 configuration provides 32GB of HBM2 memory. It remains relevant for software stacks and scientific workloads built around the Volta generation, including deep-learning and double-precision HPC applications.
Choose V100 when compatibility with an established Volta workload matters more than moving the project to a newer GPU generation.
NVIDIA product information- 01
Established deep-learning stacks
Run training and inference pipelines already validated for the Volta generation.
- 02
Scientific computing
Use V100 for high-performance computing workloads that require double-precision GPU calculation.
- 03
Compatibility-focused work
Maintain older CUDA-era environments on the hardware generation they were designed and tested around.
Deployment sizing
Size before you provision.
Hardware fit depends on the model, precision, batch size, software stack, and total working set. Published use cases are not performance guarantees.
- 01 / Memory
Confirm the working set
Include weights, caches, activations, batches, and framework overhead.
- 02 / Software
Validate the stack
Check CUDA, driver, framework, precision, and container requirements.
- 03 / Capacity
Confirm provisioning
Published pricing does not guarantee immediate capacity in every configuration.