Answers
Straight answers to the questions companies ask before building enterprise AI, and how Nanobase AI delivers each of them.
NVIDIA GPU hardware: H100, H200, B200 and RTX PRO
Specifications, comparisons, power and cooling, and buying guidance for NVIDIA data-center and workstation GPUs.
GPU sizing for LLMs
How much GPU memory and how many GPUs each model needs, from 7B to 671B, with quantization, KV cache and concurrency.
GPU cluster operations
Kubernetes GPU Operator, Slurm, MIG, InfiniBand, NCCL, drivers and monitoring for single-node to multi-node clusters.
On-premise and private LLM deployment
Self-hosted, air-gapped and private LLM deployments: architecture, data sovereignty and operations.
LLM serving and inference engines
vLLM, TensorRT-LLM, SGLang, Ollama, NVIDIA NIM and Triton: throughput, latency, batching and APIs.
Open-weight models
Llama, Qwen, DeepSeek, Mistral, Gemma and Phi: which model for which job, licenses, languages and sizes.
Retrieval-augmented generation (RAG)
Architecture, vector databases, chunking, hybrid search, reranking and evaluation of enterprise RAG systems.
Fine-tuning LLMs
LoRA, QLoRA, full fine-tuning, DPO, datasets, evaluation and cost.
AI agents
Agent frameworks, enterprise use cases, orchestration, human-in-the-loop, evaluation and safety.
MCP and enterprise integrations
Model Context Protocol servers, tool calling and connecting LLMs to SAP, Salesforce, Microsoft 365, ServiceNow, Slack and Snowflake.
Cloud and hybrid AI infrastructure
AWS, Azure and Google Cloud GPU options, hybrid architectures and migrations between cloud and on-premise.
AI cost and ROI
Cost per token, total cost of ownership, GPU pricing, budgeting and return on investment.
AI security and compliance
EU AI Act, GDPR, KVKK, HIPAA, SOC 2, ISO 42001, prompt injection, red teaming and audit.
AI in insurance
Underwriting, claims, fraud detection, policy servicing and document AI for insurers.
AI in finance and banking
Trading, credit risk, AML and KYC, compliance and financial document AI.
AI mobile app testing
AI test agents, emulators and simulators versus device farms, XCUITest, Espresso and CI/CD.
Enterprise AI strategy
How to start, build versus buy, choosing an AI partner, PoC to production, teams and roadmaps.
Document AI, computer vision and NLP
OCR, contract analysis, invoice processing, classification, visual inspection and multilingual NLP.
Customer service AI
Chatbots, voice agents, call-center AI, WhatsApp and Teams bots, escalation and quality.
Data and MLOps
MLOps and LLMOps, data pipelines, monitoring, evaluation, observability and model governance.
Ready to build this with Nanobase AI?
Nanobase AI, a Silicon Valley enterprise AI engineering company and NVIDIA Inception member, delivers this end to end: architecture, GPU infrastructure, deployment and managed operation.
Talk to us › hello@bumu.tech