Termi vs Models Zoo

Termi is an iPhone app for remote server management, built for developers, sysadmins, SREs, and self-hosting users. It combines SSH client, terminal, shell access, server monitoring, multi-host management, and Docker workflows in one mobile tool. Whether you manage Linux servers, VPS instances, cloud hosts, homelab machines, or self-hosted services, Termi helps you stay in control from iPhone. With Termi, you can organize multiple servers in one place, save hosts, tags, and login details, monitor CPU, memory, disk, and network status, and jump straight into SSH when something needs attention. Instead of being just another terminal app, Termi is designed around a practical mobile ops workflow: check server health first, then connect and act fast. Key features: - SSH client and terminal for remote Linux access and shell commands - Multi-host management with saved servers, tags, credentials, and connection details - Server monitor for CPU, memory, disk, and network overview - Batch commands for deploy, restart, logs, version checks, and routine admin tasks - Docker workspace for container-related server monitoring and management - Secure login with password or SSH key plus host key verification Built for real-world mobile workflows: - Check server status while commuting, traveling, or away from your desk - Open SSH immediately when alerts, downtime, or resource spikes appear - Run deploy, restart, log, and diagnostic commands on one server or many - Manage VPS, cloud servers, homelab machines, NAS setups, and self-hosted services If you want an iPhone app that blends SSH terminal, server monitor, remote shell access, and mobile admin workflows in a clear and efficient way, Termi is built for that job. - Terms of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ - Privacy Policy: https://my.feishu.cn/wiki/ZZKYwbgj3iDlzNkhzFncODfFnHd

Core ML Models is a curated, on-device AI playground. Download any model from the built-in catalog and try it out instantly — no server, no account, nothing leaves your device. Every model is an open-source release converted from PyTorch to Apple's Core ML format and tuned to run efficiently on the Neural Engine, GPU, or CPU. WHAT YOU CAN DO • Chat with small language models (Gemma, etc.) including multimodal vision+text • Generate images from text with Hyper-SD • Remove backgrounds, matte video subjects, and colorize old photos • Estimate depth and reconstruct 3D faces from a single photo • Detect and classify with YOLO, SigLIP, and zero-shot open-vocabulary models • Separate music stems with Demucs and transcribe audio to MIDI with Basic Pitch • Clone voices and synthesize speech with Kokoro and OpenVoice • Super-resolve images with SinSR and RealESRGAN. DEVELOPER TOOLS, NOT JUST A DEMO • Inspect — see every .mlpackage's input/output tensor shapes, data types, compute-unit setting, on-disk size, and Core ML metadata at a glance. • Benchmark — run warmup + timed iterations on your own device and get average / median / min / max latency plus memory delta. Switch compute units (All, CPU+GPU, CPU+ANE, CPU only) to find the fastest config for your hardware. • Swift Code — export a ready-to-paste Core ML loading + inference snippet wired to the model's actual input/output names, so integration into your own app is copy-paste fast. DESIGNED FOR THE NEURAL ENGINE Each model ships with compute-unit settings tuned per-architecture (Neural Engine, GPU, CPU) so you get the best inference speed Apple Silicon can deliver. OPEN AND TRANSPARENT Every model in the catalog links back to its original paper, repository, and license. Conversion scripts are public on GitHub so you can see exactly how the .mlpackage files were produced. PRIVACY FIRST All inference runs locally on your device. The app only fetches model files from public storage over HTTPS — there are no analytics, no ads, and no account to create. REQUIREMENTS • iPhone or iPad with Apple Silicon recommended for best performance • Some large models require several GB of free storage and ≥ 6 GB RAM