Inference with 48 GB of memory
Calculate total memory use for model weights, context and working data.
Professional RTX with ECC memory for AI, 3D and visualization.
Choosing RTX 6000 Ada 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.
Calculate total memory use for model weights, context and working data.
Use the memory budget for geometry, textures and rendering buffers.
Test interactive scenes and compute stages in your professional software.
Provide your model, software environment and rental period. We will confirm the rate, availability and connection method before the rental starts.
The GPU has 48 GB of GDDR6. Include runtime memory and working buffers in the total.
RTX 6000 Ada uses Ada Lovelace and 48 GB GDDR6. RTX PRO 6000 Blackwell uses Blackwell and 96 GB GDDR7. They are different generations; choose based on memory needs and software support.
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.