A larger model on one GPU
Evaluate whether weights and KV cache fit within 96 GB without splitting the model.
96 GB of ECC memory on one GPU for AI and professional graphics.
Choosing RTX PRO 6000 to run a language model? Compare your workload with ASUS Ascent GX10 rental: NVIDIA GB10 and 128 GB of unified CPU and GPU memory on one node.
Request one ASUS system for inference and RAG, or a pair for parallel workloads. Compare model and context memory, ARM64 support and the time needed for a trial run. GX10 unified memory and dedicated VRAM have different trade-offs.
Match ASUS GX10 to your model128 GB unified memory · NVIDIA GB10 · one system or a pair. Availability and software are agreed for your workload.
Evaluate whether weights and KV cache fit within 96 GB without splitting the model.
Test a combined pipeline for generation, processing and visualization.
Tune rendering settings around geometry, textures and intermediate buffers.
Provide your model, software environment and rental period. We will confirm the rate, availability and connection method before the rental starts.
The GPU has 96 GB of GDDR7. Include runtime memory and working buffers in the total.
Yes. RTX PRO 6000 Blackwell specifies 96 GB GDDR7 with ECC on the GPU. Unlike ASUS Ascent GX10’s unified system memory, this is dedicated GPU memory; the runtime still uses part of it.
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.