Applications & Workloads
Full spectrum AI and HPC workloads, purpose-built for performance.
Our SI Capabilities
Comprehensive system integration services covering every layer of GPU cloud infrastructure.
| Category | Description | Example Use Cases |
|---|---|---|
| LLM Training & Fine-Tuning | Distributed training with multi-node GPU clusters | GPT training, LoRA fine-tuning, RLHF |
| AI Inference & Serving | Low-latency model serving with auto-scaling | vLLM, TGI, TensorRT-LLM |
| Image & Video Generation | GPU-accelerated creative AI workloads | Stable Diffusion, SDXL, Flux, ComfyUI |
| Computer Vision | Visual recognition, detection, segmentation | YOLO, image segmentation, medical imaging |
| AI Agents & RAG | Retrieval-augmented generation pipelines | LangChain, LlamaIndex, vector databases |
| Audio & Speech | Speech-to-text, text-to-speech workloads | Whisper, TTS, voice cloning |
| 3D Rendering & VFX | High-throughput GPU rendering | Blender, Unreal Engine, V-Ray GPU |
| Scientific Computing | HPC simulations, molecular modeling | CUDA simulations, genomics, drug discovery |
| Batch Data Processing | Large-scale data transformation | Spark on GPU, RAPIDS cuDF |
Deployment Models
Comprehensive system integration services covering every layer of GPU cloud infrastructure.
Dedicated GPU Pods
Full GPU instances, 1-8 GPUs per node, with SSH/Jupyter/VS Code access. Ideal for training and development workloads requiring consistent, dedicated resources.
Serverless GPU Endpoints
Auto-scaling with zero idle cost and sub-200ms cold starts. Perfect for inference APIs and variable traffic patterns.
Instant Clusters
Multi-node clusters with InfiniBand interconnect. Slurm/PyTorch/Ray pre-configured for distributed training at scale.