Secure AI Factory
Pre-train from scratch on our secure advanced compute clusters.
Domain-Expert Guidance
Let our team of experts provide domain specific assistance with model pre-training, fine-tuning, reenforcement learning, etc.
Multi-Modal Mastery
Our expert team combines specialized knowledge in cross-modal architectures to navigate the unique technical challenges of training models that effectively learn from and integrate multiple data types like text, images, and audio.
End-to-End Methodology
01
Dataset Curation
Balance classes, mask PII, embed provenance.
02
Compute & Scheduling
Reserve elastic GPU swarms; choose DeepSpeed, FSDP, or Megatron-LM.
03
Distributed Training
Orchestrate thousands of nodes with zero-copy checkpoints.
04
Evaluation
Automated red-teaming, bias scans, and task-specific benchmarks.
05
Fine-Tuning
LoRA, QLoRA, or full-weight; hyper-opt with Ray Tune.
06
Optimization
Quantize, prune, or distill for latency and cost.
07
Deployment & Monitoring
Triton, vLLM, or KServe with real-time drift alerts.
08
Governance
Lineage, attestations, and reproducible recipes for audits.
Distributed Training
Our mesh-aware scheduler shreds epoch times: plug in H100/H200 clusters or Grace-Blackwell superchips and push teraflop-to-token efficiency that beats vanilla DDP by up to 40%.
Key Workloads
Vision Models
Regression · Classification · Semantic Segmentation · Edge-optimized variants
Image Generation
Diffusion · Autoregressive · ControlNet pipelines
Speech / Audio
ASR · Speaker ID · Acoustic regression & classification
Language Models
Pre-train BERT-scale to GPT-4o-class; RLHF ready
Multimodal Fusion
Any n-way modality combo, including 3-D meshes and time-series
Reinforcement Learning
Offline RL, inverse RL, or hybrid policy gradients
Infrastructure and trust
BUZZ HPC delivers 10 000+ GPUs, lossless NVLink/Fabric, and sovereign-cloud compliance.
