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.

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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

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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.

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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.

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hi@weareconflict.com

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+1 (305) 209-5818‬

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