Cloud Technology Blog - EaseCloud

Cost Optimization

Master AWS Cost Optimization for Startups

Master AWS cost optimization for startups with proven strategies for EC2, Lambda, S3, and RDS. Reduce cloud spending by 30-40% while maintaining performance and reliability.

AI Cloud

Select the Optimal OCI GPU Shape for LLMs

Select optimal OCI GPU shapes for LLM deployment. Compare A10, A100, H100 performance benchmarks, costs, and ROI. Data-driven recommendations for 7B to 175B models

Cloud Infrastructure

Reduce AWS Machine Learning Costs by 70%

Optimize AWS AI/ML costs with proven strategies for training and inference. Reduce machine learning expenses by 40-70% while maintaining performance and scalability.

AI Cloud

Connect LLMs to Oracle Database - LangChain and Vector Search Guide (2026)

Integrate Oracle Autonomous Database with LLM deployments for SQL-based inference, vector search, and RAG patterns. Reduce latency 40-60% with native integration.

DevOps CICD

Automating Cloud-Native Deployments with CI/CD

Learn how to automate cloud-native deployments with CI/CD, GitOps, and progressive delivery on Kubernetes—secure, scalable, and production-ready.

Cloud Infrastructure

Designing Cloud-Native Architectures

Explore cloud-native architecture patterns—microservices, event-driven design, Saga, CQRS, API Gateways, and Service Meshes—for resilient, scalable systems.

AI Cloud Featured

OCI vs AWS vs Azure - The Best Azure Alternative (2026)

Compare Oracle Cloud, AWS, and Azure on pricing, compute, storage, and free tier. Includes real cost examples and free tier comparison. Updated March 2026.

AI Cloud

Deploy Production LLMs on OKE Kubernetes

Deploy LLMs on Oracle Kubernetes Engine with GPU support. Complete guide covers OKE cluster setup, GPU nodes, vLLM deployments, auto-scaling, and monitoring patterns.

AI Cloud

Maintain 99.9% Uptime with GCP Monitoring

Monitor LLM deployments with Google Cloud Operations for reliability and performance. Track metrics, set up alerts, and debug production issues with unified observability across Vertex AI, GKE, and Cloud Run.

AI Cloud

Scale Llama 4 Across Multiple Cloud Regions

Deploy Llama 4 across AWS, Azure, and GCP for global reach. Multi-cloud architecture guide covering load balancing, failover, cost optimization, and auto-scaling.

AI Cloud

Deploy Mixtral 8x7B on Google Vertex AI

Deploy Mixtral 8x7B on Google Cloud Vertex AI for production inference. Leverage the mixture-of-experts architecture for cost-effective, scalable serving with 32K context windows.

AI Cloud

Auto-Scale GPU Workloads on GKE Clusters

Configure Google Kubernetes Engine GPU autoscaling for production LLM deployments. Set up dynamic scaling, optimize costs with spot VMs, and maintain performance through intelligent autoscaling policies.

AI Cloud

Cut Costs 85% with Open Source GPT Models

Deploy open-source GPT models across AWS, GCP, and Azure. Production guide covering GPT-J, GPT-NeoX, MPT-30B deployment, optimization, and cost savings up to 85%.

AI Cloud

Run GLM-4 for Chinese Enterprise Applications

Deploy GLM-4 for enterprise Chinese applications. Production guide covering cloud deployment, fine-tuning, enterprise integration, and cost optimization strategies.

AI Cloud

Serve Gemma Serverless on Google Cloud Run

Deploy Google's Gemma model on Cloud Run for serverless, auto-scaling LLM inference with pay-per-request pricing and zero idle costs.

AI Cloud

Run LLM Inference Directly from BigQuery

Integrate Vertex AI LLMs with BigQuery for SQL-based inference, enabling petabyte-scale text processing without data movement or complex pipelines.

AI Cloud

Google Cloud TPU v5p - Specs, Pricing and LLM Benchmarks (2026)

Optimize LLM deployments with Google Cloud TPUs for superior cost-performance. Configure TPU v5p for production inference with 2-3x better efficiency than equivalent GPU configurations.

AI Cloud

Deploy DeepSeek R1 for Math and Coding Tasks

Deploy DeepSeek R1 reasoning model for math, coding, and problem-solving. Production setup guide covering AWS, GCP, Azure deployment, optimization, and integration.

AI Cloud

Qwen vs DeepSeek vs GLM - Benchmark Comparison and Winner (2026)

Compare Qwen 2.5, DeepSeek V3, and GLM-4 on coding and reasoning. Includes license table (Apache vs MIT) and API pricing. Find the best Chinese open model.

AI Cloud

vLLM Throughput Guide - PagedAttention and Batching Tips (2026)

Get the highest tokens/sec from vLLM with continuous batching and PagedAttention. Benchmark results, best practices checklist, and tuning guide for 2026.

AI Cloud

TensorRT-LLM FP8 on A100 - Quantization Setup Guide (2026)

Boost LLM inference 20–40% with TensorRT-LLM. Learn model conversion, INT8/FP8 quantization, and production deployment for NVIDIA GPUs.

AI Cloud

Deploy LLMs Locally on Any Laptop with Ollama

Deploy LLMs locally with Ollama in under 60 seconds. Run 100+ models on laptops or GPUs, use OpenAI-compatible APIs, and keep data private.

AI Cloud Featured

Run 70B LLMs on Consumer GPU - VRAM and Quantization Guide (2026)

llamacpp enables efficient LLM inference on consumer hardware, letting you run Llama 2 70B on 24GB GPUs via Q4_K_M quantization and hybrid CPU/GPU offloading, achieving 70% model size reduction, fast CPU performance, and portable, production-ready deployments.

AI Cloud

Deploy Self-Hosted LLMs on Kubernetes Clusters

Deploy LLMs on on-premise Kubernetes with k3s or kubeadm, leveraging NVIDIA GPU Operator, auto-scaling, and optimized storage to achieve full control, data sovereignty, and cloud-competitive costs while efficiently running models from 7B to 70B parameters.

AI Cloud

GPU Guide for LLM Deployment - RTX 4090 to A100 Benchmarks (2026)

RTX 4090 token throughput benchmarks for Llama, DeepSeek, and Qwen. VRAM requirements, power consumption, and on-premises hardware guide. Updated 2026.