LLMs with larger memory budgets
Evaluate 180 GB HBM3e for weights, context and single-GPU working buffers.
Data center Blackwell with 180 GB HBM3e for memory-intensive workloads.
Choosing B200 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 180 GB HBM3e for weights, context and single-GPU working buffers.
Validate your runtime and model format on data center Blackwell.
Budget activations and optimizer state before starting a long training run.
Provide your model, software environment and rental period. We will confirm the rate, availability and connection method before the rental starts.
The GPU has 180 GB of HBM3e. Include runtime memory and working buffers in the total.
No. This configuration contains one GPU: 180 GB HBM3e refers to that B200. If you need a multi-GPU server, specify the GPU count and interconnect requirements separately.
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.