Model fine-tuning
Budget 80 GB across weights, training state and working buffers.
Ampere in the SXM form factor for training, inference and scientific computing.
Budget 80 GB across weights, training state and working buffers.
Measure the context length and concurrency your runtime can support.
Run reproducible compute experiments on Ampere with HBM2e.
Provide your model, software environment and rental period. We will confirm the rate, availability and connection method before the rental starts.
The GPU has 80 GB of HBM2e. Include runtime memory and working buffers in the total.
Start with one if the workload fits and its runtime is acceptable. Four GPUs support distributed or independent jobs, but the application must explicitly use multiple devices.
This configuration is open for rental requests. Share your workload, preferred dates and duration. Hardware availability, pricing and access dates are confirmed individually; a request does not create a confirmed booking.