Shop by Use Case
Find systems by what you are building — training, inference, RAG, computer vision, HPC and AI, and sovereign AI.
Systems for AI inference
Right-sized GPUs for high-throughput, low-latency serving.
View systems → 147Systems for LLM training
Multi-GPU and rack-scale systems for 7B–trillion-parameter training.
View systems → 119Systems for RAG & retrieval
Balanced GPU + fast-NVMe for retrieval-augmented generation.
View systems → 111Systems for HPC & AI
Converged HPC + AI clusters with high-bandwidth fabric.
View systems → 109Systems for model fine-tuning
LoRA, QLoRA and full-parameter fine-tuning — workstations, servers and rack-scale systems sized honestly for 7B to 405B, on your own hardware.
View systems → 108Systems for generative AI
Train and serve image, video and content models — NVLink, fast NVMe, liquid-ready.
View systems → 106Systems for agentic AI
Build and run autonomous AI agents — from edge AI PCs to GPU servers.
View systems → 104Systems for NLP & speech
GPU systems for language models, ASR/TTS and real-time translation.
View systems → 97Systems for computer vision
GPU systems to train and deploy vision models.
View systems → 94Systems for sovereign AI
AI factories on sovereign Indian infrastructure — DPDP, GeM.
View systems → 52Not sure which fits your workload?
Talk to our solution architects for multi-node fabric design, financing & GPU-as-a-Service — or configure a build and get an instant indicative price.