AI Infrastructure & MLOps

AI Infrastructure & MLOps

AI /  AI Infrastructure

Building an AI demo is easy. Running models at scale, with GPUs humming and endpoints up, is another story. Whether you're fine-tuning a custom model, running open-source LLMs, or just tired of burning cash on inefficient pipelines — we’ll help you build the infrastructure that lasts. We bring real MLOps, GPU orchestration, model lifecycle management, and cost-optimized deployment pipelines to your AI stack.

Scalable, secure, GPU-accelerated infrastructure for AI apps that actually run in production.

What We Build

  • MLOps Toolchains: CI/CD pipelines for training, testing, deploying, and monitoring models.

  • GPU Orchestration: On-demand and auto-scaling GPU clusters (NVIDIA, AMD, cloud-native or bare metal).

  • Model Serving Infrastructure: Real-time inference endpoints with load balancing, batching, and A/B testing.

  • LLM Hosting Platforms: Ollama, LM Studio, HuggingFace Accelerated Inference, vLLM, TGI — all supported.

  • Vector Databases & Embeddings: Pinecone, Weaviate, Qdrant, FAISS, or in-house setups.

  • Observability & Cost Controls: GPU usage tracking, autoscaling rules, monitoring, alerting, and logging.

  • Open-Source Model Optimization: Quantization, pruning, distillation, model packaging and rollout.

  • Custom AI DevOps Environments: Notebook infra, remote training clusters, secure sandboxed runtimes.

Use Cases We Support

  • Internal LLM deployments — on-prem, in VPC, or cross-cloud.
  • Scalable RAG apps with managed vector search and cost-efficient inference.
  • Training and fine-tuning jobs on multi-GPU or TPU environments.
  • Dev environments for research teams with notebooks and experiment tracking.
  • AI-enabled SaaS platforms that need infrastructure built to scale.

Supported Clouds, Platforms, & Frameworks

  • AWS SageMaker, Bedrock, ECS, EKS
  • GCP Vertex AI, GKE, TPUs
  • Azure ML
  • Kubernetes, Docker, Terraform
  • LangChain, PyTorch, TensorFlow, Ray, JAX
  • Weights & Biases, MLflow, Comet, DVC

Why Conflict™?

  • We’ve built AI infra that runs inside highly regulated industries — and on a single founder’s MacBook.
  • We balance velocity, security, cost, and performance — no hand-wavy abstractions.
  • We don’t treat MLOps as an afterthought. It’s built into our process.

Contact Us

Make It Real — And Make It Scale

Don’t let infra be your bottleneck. We’ll help you ship AI that doesn’t just work — it works under load.