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15 workload categories with hardware requirements, ranked GPU recommendations, and live pricing across 28 marketplace partners. Each hub analyzes which GPUs fit best for the workload's VRAM, compute, and form-factor needs.
Training, inference, fine-tuning, embeddings, and generative AI workloads.
Training and fine-tuning large language models from 7B to 70B+ parameters.
Serving large language models for chat, completion, and agentic workloads.
Generating images with Stable Diffusion, FLUX, SDXL, and other diffusion models.
Object detection, segmentation, classification, and visual model training.
Speech recognition, music generation, voice cloning, and audio synthesis models.
Adapting pre-trained large language models to specific domains via LoRA, QLoRA, or full fine-tuning.
Computing vector embeddings for RAG, semantic search, and recommendation systems.
Transcribing audio to text using ASR models like Whisper for production transcription pipelines.
Generating video clips from text or image prompts using diffusion-based video models.
3D rendering, video transcoding, gaming, and visualization workloads.
GPU-accelerated rendering with Blender Cycles, OctaneRender, V-Ray, and Redshift.
Hardware-accelerated video encoding and decoding for streaming and post-production.
Game streaming, cloud gaming services, and remote graphics workloads.
Scientific simulation, molecular dynamics, and HPC workloads.
Proof-of-work cryptocurrency mining workloads.