Generative AI & LLMs
Fine-tuning, prompt-serving, model evaluation, retrieval-augmented generation, embedding generation, and production inference for language and multimodal systems.
Recommended: H100 / H200AI SOLUTIONS
Infrastructure for the full AI workload spectrum.
TREXVEX GPU infrastructure is designed for compute-intensive teams that need predictable accelerator capacity, high memory availability, fast local storage, and scalable network throughput across development and production environments.
Inference Platforms
Run persistent model-serving workloads, APIs, batch inference, vector search pipelines, and latency-sensitive AI services on dedicated accelerator resources.
Recommended: A100 / H100Computer Vision
Image classification, detection, segmentation, generative vision, video analysis, rendering, and GPU-accelerated media processing.
Recommended: A100 Twin / H100Research & HPC
Simulation, scientific computing, quantitative analysis, CUDA workloads, data science, and memory-intensive research requiring sustained GPU access.
Recommended: H100 / H200Private AI Environments
Dedicated infrastructure for organizations that prefer predictable resource ownership, isolated compute capacity, and controlled deployment environments.
Dedicated node modelMulti-GPU Training
Scale larger model experiments and distributed workloads with four- and eight-GPU systems designed for higher aggregate memory and throughput.
Recommended: H100 Cluster / H200 Fabric