GPU servers for inference and fine-tuning: ASUS Ascent GX10, RTX, A100 and H100. Compare memory and hourly rates. All configurations are on request, subject to confirmed availability.
ASUS GX10 with 128 GB of unified memory
128 GB of unified memory for model weights, context and LLM experiments.
LLMs · code · images · video · finance
Explore this configurationTwo-node ASUS GX10 cluster
Run two workloads in parallel or distribute one model across both nodes.
LLMs · code · images · video · finance
Explore this configurationAmpere GeForce with 24 GB of memory for CUDA workloads and GPU rendering.
Blackwell GeForce with 32 GB of memory for models and graphics workloads.
Ampere in the SXM form factor with 40 GB HBM2 for AI and scientific computing.
Ampere in the SXM form factor for training, inference and scientific computing.
141 GB on one GPU for model weights, KV cache and working buffers.
Eight GPUs with 80 GB each for distributed training and inference.
Run compatible open models with Ollama. Choose quantization and context length within the 128 GB shared CPU and GPU memory budget.
Check software compatibility# Example commands
~ $ nvidia-smi
~ $ ollama run qwen3:32b
Request one ASUS GX10 or a two-node cluster.
Provide your model, software environment, dates and rental duration.
Before the rental starts, we will confirm the rate, availability, configuration and connection method.
Payment can be arranged in RUB, USD, EUR or KZT, by an international card or cryptocurrency. We will confirm the method and currency before the rental starts.
Rent two ASUS Ascent GX10 nodes with 256 GB of memory in total to run generative models. Dolphin 3.0 8B is preinstalled for chat; image and video generation software is agreed separately.
Rent an ASUS Ascent GX10 cluster to run compatible LLMs on your web application code, configuration and scanner reports. Two 128 GB nodes support parallel analysis; your team prepares and verifies the review results.
Rent two ASUS GX10 nodes to run LLMs and process large tax document collections. Use models to find relationships and inconsistencies in returns, invoices and source records; an analyst verifies the findings.
Rent two ASUS GX10 nodes to run compatible LLMs, analyze code and run parallel research workloads. Test strategies on historical data with fees and slippage included; evaluate results through backtesting and paper trading.
Compare memory requirements, compatibility and the cost of a test to choose hardware for your LLM inference workload.
Account for the hourly rate, setup time and storage, then compare configurations by the cost of the result.
How fine-tuning memory differs from inference, and which settings to validate before renting a GPU.
ASUS Ascent GX10 is a compact computer built on NVIDIA GB10 Grace Blackwell. Each node has 128 GB of memory shared by the CPU and GPU, and an ARM64 processor. Check that your containers and libraries support this architecture before renting.
Yes. Request one node or a pair. Both configurations use the same pool of two devices, so their availability is linked.
The catalog marks Qwen3-235B, Qwen3.5-397B and Llama 3.1 405B for the two-system ASUS GX10 cluster. Model cards list quantizations and weight sizes.
The catalog lists hourly rates. The ASUS GX10 starting rate applies to rentals of 169 hours or more; shorter rentals use a different rate. Availability and access dates are confirmed on request. The current form is a demo: it does not submit or store your information.
Yes. Submit a request on the GPU owners page with your hardware model, location and available hours. Rental terms and connectivity are arranged individually.