Vast ai Alternative 2026

Google AI Studio is a platform designed to help developers quickly start building with Gemini, Google's next-generation family of multimodal generative AI models. It provides access to powerful AI capabilities through an API key, allowing integration into various applications. The platform offers a generous free tier and flexible pay-as-you-go plans, enabling users to experience Gemini models that understand text, code, images, audio, and video. It also boasts breakthrough capabilities like a 2M token context window, context caching, and search grounding for deeper comprehension and accurate responses.

Weights & Biases is the leading AI developer platform to train and fine-tune models, manage models from experimentation to production, and track and evaluate GenAI applications powered by LLMs. W&B Prompts is a suite of LLMops tools to dramatically improve prompt engineering workflows and unlock deeper understanding of your LLMs. W&B Weave helps build agentic AI applications.

Browser Cloud by TestMu AI is scalable browser infrastructure purpose-built for the way AI agents use the web — to scrape, test, and automate without infrastructure headaches. It gives your agents real, full-featured Chrome sessions on demand, so they read the fully rendered, post-JavaScript DOM the way a real user would, not empty HTTP responses. Key capabilities: - Stealth Mode, built in — best-effort fingerprint masking, CAPTCHA solving, and ad blocking help agents move through the live web with fewer blocks. - Instant scale — sub-second starts and sessions up to 24 hours. Spin up hundreds of headless browsers on demand, from one agent to thousands, with no queues and no capacity planning. - Session persistence — cookies, local storage, and login state travel with every session, so agents resume exactly where they left off with no re-auth and no lost context. - 180+ geolocations — every request looks like it came from a local user. No VPN juggling, no IP rotation scripts. - Framework-agnostic — works with Playwright, Puppeteer, Selenium, or your own AI agents via SDK. Plug in and run with no rewrites. - Full observability — live view, video replay, network logs, and console output captured automatically for every session, so you debug in minutes. - Built-in TestMu AI Tunnel — reach localhost, internal apps, and VPN-gated services from any cloud session, with zero setup. Most browser clouds only reach public URLs. Common use cases: QA automation against thousands of real browsers, real-time structured data extraction from JS-heavy SPAs, AI agent execution on the live web, multi-step workflow automation (auth, cookies, CSRF tokens handled automatically), competitive intelligence and price monitoring, and collecting fully-rendered web content for model training. Ready-to-run cookbook starters are available for OpenAI Computer Use, Claude Computer Use, Gemini, Playwright, and Puppeteer. Browser Cloud runs on the same battle-tested infrastructure trusted by 3M+ users and 18,000+ enterprises across 132 countries, including Microsoft, OpenAI, and NVIDIA, and meets enterprise compliance standards including SOC 2, GDPR, and HIPAA.

Jam is a bug reporting tool designed to streamline the process of identifying, reporting, and fixing bugs. It allows users to report bugs in seconds by taking a screenshot or recording a video, automatically capturing all the necessary information engineers need to debug, such as device and browser details, console logs, network logs, and repro steps. Jam integrates with various tools like Notion, GitHub, Jira, and Slack, making it easy to share bug reports with the team. It also offers features like AI debugging and backend logging to further enhance the bug-fixing process.

SaladCloud is a distributed GPU cloud platform that allows users to save up to 90% on cloud costs compared to hyperscalers. It provides access to over 60,000 daily active GPUs, starting from $0.02/hour, making it ideal for AI inference, batch processing, molecular dynamics, and more. SaladCloud harnesses the world’s unused compute resources, activating latent GPUs to power a fully people-powered cloud.