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This guide walks you through quickly deploying DeepSeek series models on the Tencent Cloud TI platform, covering model selection, resource planning, step‑by‑step service creation, free online trial, API testing via built‑in tools or curl, and managing inference services for both large and compact models.
Deploy DeepSeek‑R1 models on Tencent Cloud HAI in just three minutes by logging in, creating an application, and accessing the model via ChatbotUI or JupyterLab, without purchasing GPUs or configuring environments, while also leveraging integrated services like Cloud Studio and Object Storage for enterprise AI solutions.
Tencent Cloud AI Code Assistant has evolved from token‑level IDE completions to LLM‑driven multi‑modal coding and chat features, employing a dual‑loop R&D system, Hunyuan‑based code models, and sophisticated trigger, prompt, stop, and display strategies to deliver context‑aware, secure, and efficient code generation within IDE and review environments.
Tencent has open‑sourced its 389‑billion‑parameter Hunyuan Large Mixture‑of‑Experts model—featuring 52 B active parameters, 256 K token context, novel routing, KV‑cache compression, and advanced training optimizations that beat leading open‑source models—and its first text‑to‑3D/image‑to‑3D Hunyuan 3D Generation model, both downloadable via GitHub, Hugging Face, and Tencent Cloud.
Redis, an open-source in-memory NoSQL database, is explored in depth covering its high-performance features, typical use cases, evolution, architecture, data types and commands, followed by an overview of Tencent Cloud Redis services and a brief advertisement for a DevOps certification program.
Tencent Cloud TDMQ for Apache Pulsar achieves multi‑AZ high availability by containerizing ZooKeeper, BookKeeper and Brokers, using managed ZK, persistent cloud disks and elastic NICs, enforcing quorum and rack‑aware replicas, and planning cross‑region bidirectional replication to ensure seamless disaster recovery and continuous messaging.
On April 8, a Tencent Cloud API outage caused console login failures for nearly 2,000 customers, affecting several dependent services for 87 minutes, and the detailed root‑cause analysis and subsequent improvement actions are presented to enhance system resilience and change management.
On April 8, Tencent Cloud experienced a major service outage caused by a cloud API failure that prevented console login and disrupted several public cloud services for 87 minutes, prompting a detailed post‑mortem that outlines the root cause, impact, and a series of operational and change‑management improvements.
The article details Tencent's Public Gateway (TGW) architecture, its forwarding and control planes, and presents two real‑world extreme failure cases— a NIC batch bug and a special IPv6 packet causing core dumps—along with the multi‑level disaster‑recovery design and mitigation strategies employed to ensure high availability.
Japanese game developer KMS migrated from Azure to Tencent Cloud, adopting a cloud‑native architecture with Tencent’s Elastic Microservice platform that provides timed and metric‑based scaling, CI/CD pipelines, and batch upgrades, resulting in roughly 50% cost savings, 15% performance gains and 50% latency reduction.
Tencent Cloud’s Cloud Studio team migrated its fragmented monorepo workflow to a self‑hosted, Kubernetes‑based cloud development environment, unifying code in a trunk‑based repository, delivering pre‑warmed IDE images, fast Git and startup performance, robust security, and laying groundwork for containerized debugging, vGPU AI training, and seamless cloud‑native development.
This article explains what vectors and vector databases are, how they differ from traditional databases, their core technologies, their relationship with large language models, market trends, and details of Tencent Cloud VectorDB’s capabilities, architecture, real‑world applications, and future competitive challenges.
This article introduces FACE-UI, a front‑back separated web application that implements facial login by capturing a photo via the browser, sending it to a Spring Boot backend, and using Tencent Cloud's face comparison API for authentication, with full setup instructions and code examples.
Deploy Stable Diffusion on Tencent Cloud by building a Docker image, pushing it to TCR, creating a GPU‑enabled TKE cluster with CFS storage, configuring qGPU sharing, exposing the service via Cloud Native API Gateway, optimizing inference with TACO Kit, storing results in COS, and applying content moderation.
This tutorial explains how to set up phone‑number verification by installing the Tencent Cloud SMS SDK, configuring an application, applying for a signature and template, and writing a Python class that generates a six‑digit code and sends it via the cloud SMS service.
This tutorial explains how to integrate Tencent Cloud's facial recognition services with the ThinkPHP framework, covering SDK installation, API key setup, and sample code for face detection, comparison, and identification using PHP.
Tencent Cloud's new HCC high‑performance computing cluster triples previous generation performance with 3.2 TB/s server bandwidth, Xingsha servers and NVIDIA H800 GPUs delivering up to 1979 TFlops, while its Xingmai 3.2 T ETH RDMA network, TB‑level storage via COS + GooseFS, and multi‑form access (bare metal, cloud servers, containers, functions) enable efficient large‑model training.
Tencent Video slashed static image bandwidth costs by over 60% using AVIF compression and on‑the‑fly image sampling, which together cut average image size by more than half, reduced memory, latency and decode time, and saved tens of millions of yuan across billions of daily requests.
This article presents a detailed case study of Gaotu's migration of its on‑premises big‑data platform to Tencent Cloud, covering background challenges, a phased migration plan, implementation lessons, cost‑control measures, and future optimization strategies, with practical insights for similar enterprises.
Tencent Cloud helped the viral game 《羊了个羊》 scale from 5,000 QPS to support over 100 million daily active users in a week by using serverless Kubernetes auto‑scaling, real‑time logging, WAF/Anti‑DDoS protection, CDN, and read‑write separation with Redis, achieving high performance, availability, and scalability.