First LLM experiments
Compare smaller models and quantization formats within a 24 GB memory budget.
Ampere GeForce with 24 GB of memory for CUDA workloads and GPU rendering.
Compare smaller models and quantization formats within a 24 GB memory budget.
Validate your pipeline at the target resolution before increasing the batch size.
Test CUDA or OptiX rendering with a scene that fits in the card’s memory.
Provide your model, software environment and rental period. We will confirm the rate, availability and connection method before the rental starts.
The GPU has 24 GB of GDDR6X. Include runtime memory and working buffers in the total.
Both have 24 GB GDDR6X, but use different architectures: Ampere and Ada Lovelace. Compare your workload on the same software stack; memory capacity alone does not determine speed.
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.