
Creative AI workflows can get pretty complex.

Let's say your project requires image and video generation with 3D modeling and animation, plus you want to include a voiceover track and music in the background. Or maybe you're fine-tuning a custom language model and immediately testing it through an API while generating supporting visuals in [ComfyUI](https://vast.ai/article/getting-started-with-comfy-UI).

Normally, projects like these require juggling multiple GPU instances for different AI workflows, which can get complicated and expensive fast.

Vast.ai's [All-in-One App Studio](https://cloud.vast.ai/template/readme/1d77da4218e4f86b1d2d0fe755d9b953) offers a unified solution that's elegantly simple: you get a complete creative AI studio with eight powerful applications, a GPU-accelerated remote desktop with KDE Plasma, and Blender, all in a single container.

## Everything You Need in One GPU Instance

The All-in-One App Studio template lets you spin up a single GPU instance to generate images and videos, create music, synthesize voices, transcribe audio, train LoRAs, fine-tune and serve LLMs, and work inside a full desktop environment with 3D rendering abilities.

The template includes:

- ComfyUI for node-based image and video workflows.
- SD Forge for Stable Diffusion-based image generation.
- Wan2GP for advanced video generation accessible even to lower-VRAM machines.
- ACE Step 1.5 for commercial-grade AI music generation with optional vocals.
- Voicebox for text-to-speech generation, voice cloning, and audio editing.
- Whisper WebUI for transcribing audio and video files and generating subtitles.
- Ostris AI Toolkit for LoRAs and model training.
- Unsloth Studio for fine-tuning and serving LLMs.
- A full KDE Plasma remote desktop environment with Blender support.

## Built for Multimodal AI Workflows

With the All-in-One App Studio template, everything works together seamlessly. You can make the most of your creative pipelines without constantly spinning up and shutting down separate environments.

ComfyUI and [SD Forge](https://cloud.vast.ai/template/readme/94b6e3bbbc8a968fef0bae6ced1e39f2) share the same model directories, so you can download a checkpoint once and use it in both tools. After you train a LoRA in the AI Toolkit, immediately test it in ComfyUI or Forge through a shared model library.

Fine-tune a language model in Unsloth Studio and then instantly interact with it through the chat interface, or connect tools like Open WebUI and SillyTavern via the built-in OpenAI-compatible API. There's no separate deployment step required.

The desktop service provides a full KDE Plasma remote desktop streamed to your browser. Blender comes fully configured with GPU-accelerated Cycles rendering, so you can create and render 3D scenes on powerful cloud hardware. You also get Google Chrome, LibreOffice, VLC media player, and a complete desktop environment for GUI-based workflows.

Having all of these tools in a single container significantly reduces setup headaches and makes experimentation so much easier.

## Flexible Workloads Without Wasting VRAM

Start what you need, stop what you don't. That's how All-in-One App Studio handles GPU resources. Nothing auto-starts.

Instead, the template's Instance Portal has a Supervisor tab where you click "Start" next to the applications you want to use at any given time. If you want to work in ComfyUI, start it up with a click. Need the desktop for Blender? Start that, too. Done with video generation? Stop Wan2GP and free up VRAM for another task.

If you want more automation, you can set specific services to auto-start on boot or run your own provisioning script to configure your workspace with custom models or software.

The template is adaptable to your budget, as well. Lower-VRAM GPUs with 8-12 GB can comfortably handle lighter workloads like transcription or voice synthesis, while 24-48 GB instances are better suited for FLUX image generation, LLM fine-tuning, training, and video workflows.

## Getting Started with All-in-One App Studio

It only takes a few minutes to get up and running with the [All-in-One App Studio template](https://cloud.vast.ai/template/readme/1d77da4218e4f86b1d2d0fe755d9b953). [Launch an instance](https://cloud.vast.ai/?ref_id=62897&creator_id=62897&name=All-in-One%20App%20Studio) with the VRAM you need via the Vast.ai console: 24 GB or more for most workflows, or 48 GB or more if you're planning to run multiple applications simultaneously.

Then open the Instance Portal, navigate to the Supervisor tab, and start up the apps you want to use. It's that easy.

One instance. Eight creative AI tools. A full desktop with Blender. Endless possibilities.

Try All-in-One App Studio on Vast.ai today.


Launch eight creative AI tools, a GPU-accelerated KDE desktop, and Blender in one Vast.ai container with the All-in-One App Studio template.

All-in-One App Studio: Your Complete Creative AI Toolkit in a Single Container


This month's updates bring new templates and guides, major upgrades to two-factor authentication, a benchmarking tool to help you pick the right GPU for your workload, and a complete creative AI studio that runs in a single container.

## NVIDIA Cloud GPU Updates

We've introduced several platform-level improvements this month. Two-factor authentication (2FA) now supports authenticator apps like Google Authenticator and 1Password instead of relying solely on SMS. Additional upgrades include CLI 2FA support, automatic backup codes for account recovery, multiple authentication methods per account, and 2FA for team roles and API key permission groups.

> **Note:** Action is required if you use legacy SMS 2FA. Simply log in normally, go to the Settings page, and click "Regenerate" on the backup codes section to migrate to the new 2FA in less than a minute.

For developers, the Vast [pip package](https://pypi.org/project/vastai/) has been upgraded, and the SDK and CLI repositories are now merged into a single, easy-to-grab repo. We've also introduced an agent skill for coding assistants like Claude and Codex to drive our CLI more effectively.

## Highlighted Feature: Benchmark Before You Deploy

Choosing the right production GPU is now faster and easier, without any guesswork involved. Vast's [benchmarking CLI](https://docs.vast.ai/guides/serverless/choosing-gpus) will take your workload and test it on H100s, A100s, 5090s, 4090s, or any selection you define to compare performance and cost efficiency across GPU classes.

The CLI rents one instance of each GPU type you specify, or a default set for a reasonable starting point if you don't specify any, and then runs the template's built-in benchmark workload, reports performance per dollar, and tears down each rental automatically when finished. Multiple GPU types can be tested in parallel, making it much faster to evaluate your options before committing to longer rentals or production traffic.

Because each run uses real instances and consumes account credit, you get measured performance and cost per hour on actual hardware, not estimates. This benchmarking tool is built for the moment you're staring at a pricing page, wondering whether an H100 is actually worth 4x the cost of a 5090. Sometimes it is, and sometimes it isn't. Now you can find out before you deploy.

## New Templates and Guides

We've rolled out another batch of templates and guides to support creative workflows, fine-tuning, experimentation, and multimodal reasoning.

The standout addition this month is the **All-in-One App Studio** template. It packs eight creative AI applications and a GPU-accelerated remote desktop with KDE Plasma and Blender into a single container, giving you a complete AI production environment without having to manage separate instances.

### New Templates

- [All-in-One Creative AI Studio](https://cloud.vast.ai/template/readme/1d77da4218e4f86b1d2d0fe755d9b953) - One GPU instance: image generation, video, music, voice, transcription, LoRA training, LLM fine-tuning, and KDE desktop with Blender, each activated only when you need it.
- [Unsloth Studio](https://cloud.vast.ai/template/readme/6444356291eabeb423440bb946ccc197) - No-code UI for running and fine-tuning 500+ open-source models with 70% less VRAM.
- [Kimi K2.6](https://vast.ai/model/kimi-k2.6) - 1T-parameter MoE, 32B active, multimodal agentic model with 256K context.
- [Qwen3.5 27B](https://vast.ai/model/qwen35-27b) and [Qwen 3.5B-A3B](https://vast.ai/model/qwen36-35b-a3b) - MoE vision-language models with unified multimodal reasoning and 256K context.
- [Gemma 4 26B-A4B](https://vast.ai/model/gemma-4-26b-a4b-it) and [Gemma 31B IT](https://vast.ai/model/gemma-4-31b-it) - Google's vision-language models with thinking mode and 256K context.
- [Autoresearch](https://docs.vast.ai/examples/ai-agents/autoresearch) - Let Claude Code run ML experiments for you, now in a [template](https://cloud.vast.ai/?ref_id=146798&creator_id=146798&name=Autoresearcher%20%28Claude%20Code%29).

### New Guides

- [Unsloth Studio Guide](https://docs.vast.ai/examples/ai-ml-frameworks/unsloth-studio)
- [CLI Hello World](https://docs.vast.ai/cli/hello-world)
- [SDK Hello World](https://docs.vast.ai/sdk/python/quickstart)

## Other Improvements

This update also brings fleet-wide mitigations for the recently disclosed CopyFail exploit. No action is required from users, and running workloads remain unaffected.

## Our Commitment

As other clouds are out of GPU capacity or charging a premium for what's left, we remain focused on making high-performance AI infrastructure available, affordable, and easy to deploy at scale.

Need help? Contact us anytime at [support@vast.ai](mailto:support@vast.ai) or join our [Discord](https://discord.gg/vast) server for tips, community support, and platform updates in real time.

## Change Log

### New Features

- [Benchmarking CLI](https://docs.vast.ai/guides/serverless/choosing-gpus) for GPU performance and cost comparison.
- [All-in-One App Studio](https://cloud.vast.ai/template/readme/1d77da4218e4f86b1d2d0fe755d9b953): eight creative AI tools in one GPU instance.
- Authenticator app support: use any TOTP app, including Google Authenticator, 1Password, and Microsoft Authenticator, instead of SMS.
- CLI 2FA: 2FA now works through the Vast CLI.
- Backup codes: automatically generate one-time recovery codes so you're never locked out.
- Multiple authentication methods: register more than one per account.
- 2FA for team roles and API key permission groups.

Set up and enable 2FA in [Settings](https://cloud.vast.ai/settings/) -> [Full setup guide](https://docs.vast.ai/guides/reference/account-settings#two-factor-authentication).

### Issues Resolved

- CopyFail exploit: fleet-wide mitigations rolled out with no impact on running workloads and no user action required.
- SSH key input validation, error message, and link fixes.
- Cloud copy fixes.
- Mobile UI fixes.
- Notifications fixes.
- General proactive security fixes.

### API Changes

- The Vast [pip package](https://pypi.org/project/vastai/) has been upgraded, and the SDK and CLI repos have been merged into a single, easy-to-grab repo. Use: `pip install vastai`.
- Install our agent skill to help Claude, Codex, etc., drive our CLI: `npx skills add vast-ai/vast-cli`.

### Updated Templates

- Wan2GP - migrated from provisioning installer to Docker.
- Whisper UI - migrated from provisioning to Docker image.
- FluxGym - Dockerized to prevent provisioning failures.
- vLLM - updated build actions for new CU130 image tag.

### New Blog Posts

- [Deploy LLM Inference Using Vast.ai Serverless](https://vast.ai/article/deploy-llm-inference-using-vast-ai-serverless)
- [Mistral Small 4 Just Dropped - Run It on Affordable H200s with Vast.ai](https://vast.ai/article/mistral-small-4-just-dropped-run-it-on-affordable-h200s-with-vast-ai)
- [Unsloth Studio Is Now Available on Vast.ai](https://vast.ai/article/unsloth-studio-now-available-on-vast-ai)


Vast.ai's May 2026 product update includes authenticator app support for 2FA, a benchmarking CLI for GPU selection, new creative AI templates, and platform security improvements.

May 2026 Product Update


It's been a busy few months at Vast.ai, with updates spanning performance and reliability improvements, new templates and guides, and a major step forward for serverless deployment workflows.

## NVIDIA Cloud GPU Updates

Managing large numbers of rented instances is now faster and more responsive, thanks to pagination and performance improvements when fetching instance data. Monitoring serverless workloads is easier as well, with improved serverless metric visualization so you can track usage and performance at a glance.

We've also updated the Host Setup page with clearer instructions for new hosts, and extended two-factor authentication via SMS to support additional countries.

## Highlighted Feature: Deploy Serverless GPU Endpoints from Python

You can now create, configure, and manage serverless GPU endpoints directly from code, without relying on the dashboard.

With the open beta of the Vast SDK deployment workflow, you can define Docker images, apt packages, autoscaling settings, and more entirely in Python. The goal is simple: one install, one deployment flow, and a much faster path from local code to a live serverless endpoint.

Where this gets especially powerful is the `@remote` programming model. Instead of building HTTP wrappers and managing infrastructure by hand, you can decorate a Python function and call it like local code while Vast handles the serverless execution layer underneath.

This is the fastest way to spin up serverless GPUs at Vast's price-performance point, and it's available now to all users as part of the open beta.

Everything you need is in the [deployment docs](https://docs.vast.ai/documentation/serverless/deployments) and [Python examples](https://docs.vast.ai/documentation/serverless/deployments/examples/square).

![Python serverless deployment example](/uploads/april-2026-serverless-sdk.png)

## New Templates and Guides

We also shipped a fresh round of templates, model pages, and deployment guides to help you get up and running faster across training, inference, multimodal workflows, and migrations.

### New Templates

- [Unsloth Studio](https://cloud.vast.ai/?ref_id=62897&template_id=2fba903698162c83cca06d926a016764) - LLM fine-tuning and inference environment.
- [GLM 5](https://vast.ai/model/glm-5) - 744B MoE model for agentic reasoning, coding, and tool use.
- [Kimi K2.5](https://vast.ai/model/kimi-k2.5) - Next-generation multimodal agentic model.
- [vLLM Omni](https://cloud.vast.ai/?ref_id=62897&template_id=10d5f684d6da7700379b16a7bcb74faa) - Multimodal inference engine.
- [Voicebox TTS](https://cloud.vast.ai/?ref_id=62897&template_id=c2325adb01ae87b2a3e8f6f68f88fabe) - Multi-model text-to-speech with voice cloning.
- [LTX 2.3 via ComfyUI](https://vast.ai/model/ltx-2-3) - Video generation workflow.

### New Guides

- [Budget-Friendly Alternative to Claude Code - Overnight Ralph Loop](https://docs.vast.ai/examples/ai-agents/overnight-ralph-loop)
- [OpenClaw AI Assistant with vLLM on Vast.ai](https://docs.vast.ai/examples/ai-agents/openclaw)
- [Autonomous AI Research with Autoresearch on Vast.ai](https://docs.vast.ai/examples/ai-agents/autoresearch)
- [Migrate from Runpod to Vast.ai](https://docs.vast.ai/examples/migrations/runpod-to-vast)

## Other Improvements

This update also brings a number of platform-level changes, including BitPay support for crypto payments, serverless OpenAI-compatible endpoints, pagination for large rented-instance result sets, and a long list of quality-of-life and reliability fixes.

## Our Commitment

As we continue to improve platform performance and expand support for deployment workflows, our focus remains on making AI infrastructure easier to use at scale.

Need assistance? Reach out anytime at [support@vast.ai](mailto:support@vast.ai) or join our [Discord](https://discord.gg/vast) server for tips, discussion, and the latest updates as they happen.

## Change Log

### New Features

- BitPay payment gateway for crypto payments, including Lightning Network support, flat fees, and refunds across hundreds of wallets including Coinbase.
- Serverless OpenAI API-compatible endpoints released.
- Serverless metric visualization improvements.
- 2FA SMS support expanded to many additional countries.
- Pagination and performance improvements when fetching large numbers of rented instances.
- Host Setup page updated with improved instructions for new hosts.

### Issues Resolved

- Local volume deletion issue resolved.
- Copy error visibility improved.
- Copy progress bar issue resolved.
- Disk quota issues resolved.
- Machines missing geolocation resolved.
- Open button token persistence after instance recreation improved.
- Missing DLPerf on the instance page resolved.
- Various security improvements.
- Various quality-of-life improvements.
- Various serverless edge-case scaling improvements.
- Host CLI schedule maintenance command issue resolved.

### Feature Changes

- Coinbase is sunsetting Coinbase Commerce on March 31, so payment support is moving accordingly.

### API Changes

- Upcoming breaking change: `get instances` will soon return paginated results, with responses limited to a maximum of 25 instances per request. Update API, CLI, and SDK integrations to handle pagination.
- Deprecated: `disable_bundling` for `search offers` will be removed from the API, CLI, and SDK.
- Serverless SDK updated for enhanced security.

### Updated Templates

- PyTorch
- Open WebUI
- Ollama
- Ostris Toolkit
- ComfyUI
- Llama.cpp (ssl)
- SGLang (onstart script fixed)
- Pinokio (v6.x)

### New GPUs

- RTX PRO 5000

### New Blog Posts

- [Affordable Claude Code Alternative: Run Autonomous Coding Agents on Vast.ai](https://vast.ai/article/affordable-claude-code-alternative-ralph-loop)
- [Vast.ai Named Among Fastest Growing Vendors by Ramp and Brex](https://vast.ai/article/ramp-brex-fastest-growing-vendor)
- [Liquid AI's LFM2 Just Dropped - Here's How to Run It on Vast.ai](https://vast.ai/article/liquid-ai-lfm2-run-on-vast-ai)
- [Running Qwen 3.5 Medium Models on Vast.ai](https://vast.ai/article/running-qwen-3-5-medium-models-on-vast-ai)
- [Vast.ai GPUs Can Now Be Rented Through SkyPilot](https://vast.ai/article/vast-ai-gpus-can-now-be-rentend-through-skypilot)
- [7 Popular Model Templates for AI Workloads on Vast.ai Right Now](https://vast.ai/article/popular-templates-for-ai-workloads-on-vast-ai)
- [Running Nemotron-Cascade-2 on Vast.ai](https://vast.ai/article/running-nemotron-cascade-2-on-vast.ai)


Vast.ai's April 2026 product update includes Python-based serverless deployments in open beta, new templates and guides, payment updates, and platform reliability improvements.

April 2026 Product Update


[Unsloth Studio](https://unsloth.ai/docs/new/studio) is an open-source, no-code web UI for running and fine-tuning more than 500 open-source AI models across text, vision, audio, and embeddings. It delivers 2x faster training with 70% less VRAM than standard approaches, which makes it possible to fine-tune larger models on more affordable hardware.

Vast.ai now offers a pre-configured [Unsloth Studio template](https://cloud.vast.ai/?ref_id=62897&creator_id=62897&name=Unsloth%20Studio). Rent a GPU, click Open, select Unsloth Studio, and start running or training models without CLI setup or manual Docker configuration.

## What You Can Do

- **Run models** — Search and download any of 500+ models from Hugging Face. Chat with built-in tool calling, code execution, and web search.
- **Compare models** — Use Model Arena to evaluate two models side by side on the same prompt.
- **Fine-tune** — Train with QLoRA, LoRA, or full fine-tuning. Upload datasets or build them from raw documents using Data Recipes. Monitor training with real-time loss curves and GPU stats.
- **Export** — Save fine-tuned models as merged safetensors, LoRA adapters, or GGUF files. Upload directly to Hugging Face Hub.

## Get Started

Read the full guide: **[Run and Fine-Tune AI Models with Unsloth Studio on Vast.ai](https://docs.vast.ai/examples/ai-ml-frameworks/unsloth-studio)**

Or launch the template directly: **[Open Unsloth Studio Template](https://cloud.vast.ai/?ref_id=62897&creator_id=62897&name=Unsloth%20Studio)**

## Resources

- [Unsloth Studio Documentation](https://unsloth.ai/docs/new/studio)
- [Unsloth GitHub](https://github.com/unslothai/unsloth)
- [Vast.ai Instance Guide](https://docs.vast.ai/documentation/instances/overview)


Run and fine-tune 500+ open-source AI models with the Unsloth Studio template on Vast.ai.

Unsloth Studio Is Now Available on Vast.ai


When you're getting started with an AI project, choosing the right model is only half the battle. You also need to configure environments and install dependencies while connecting the tools that make your workflows run smoothly. Setting things up can quickly become a bottleneck.

Prebuilt templates simplify the process – and **Vast.ai** gives you plenty to choose from!

Our [Model Library](https://vast.ai/model-library) offers a model-first way to deploy AI, with templates that launch ready-to-run environments for some of the most-used AI tools today. Vast.ai also offers [lower-level templates](https://cloud.vast.ai/templates) for frameworks and inference engines like PyTorch and vLLM for more customizable setups.

Each pre-configured template is organized by modality and use case so you can quickly find what you need – and you retain full custom control over the underlying runtime, parameters, and infrastructure.

### Popular Templates in the Vast.ai Model Library

From image, text, and audio-video generation to multimodal AI workflows, the following are a few of the most popular templates being deployed on Vast.ai right now.

#### 1. Flux.2-Dev – Rectified Flow Image Generation

[**FLUX.2-Dev**](https://vast.ai/model/flux.2-dev) is a 32-billion parameter rectified flow transformer built for advanced text-to-image generation and editing. The model processes text prompts alongside optional reference images, so you can modify existing images or combine multiple visual references without additional fine-tuning.

Its ability to maintain consistent characters, objects, and styles across generations makes it ideal for character design, visual storytelling with scene continuity, digital art with precise style control, and design prototyping.

#### 2. LTX-2 – Native Audio-Video Generation in a Single Workflow

[**LTX-2**](https://vast.ai/model/ltx-2) is a 19-billion parameter Diffusion Transformer (DiT) model that generates audio and video together in a single pass. It creates synchronized audiovisual output from text prompts, images, and other inputs – keeping dialogue, motion, and ambient sound aligned throughout the clip.

One of LTX-2's biggest advantages is its light and iterative workflow. Since the model generates video in a compressed latent space before converting it to full resolution, it supports faster iteration and more efficient memory usage than many traditional video models.

#### 3. WAN 2.2 – Efficient Text-to-Video and Image-to-Video Generation

[**WAN 2.2**](https://vast.ai/article/wan-2-2-explained-new-approach-ai-video-generation) is a video generation model that produces short cinematic clips from either text prompts or static images. What sets it apart is its Mixture-of-Experts (MoE) architecture. The model switches between specialized experts that handle early scene structure and later visual refinement. This results in smoother motion and higher visual fidelity along with more efficient use of compute.

Available on Vast.ai in both text-to-video ([T2V](https://vast.ai/model/wan-2.2-t2v-a14b)) and image-to-video ([I2V](https://vast.ai/model/wan-2.2-i2v-a14b)) variants – with the latter offering optional guidance via text prompts – WAN 2.2 gives you fine control over motion, lighting, and scene composition. Popular use cases include rapid prototyping of video concepts based on text descriptions and product animations generated from still images.

> Not sure whether **WAN 2.2** or **LTX-2** fits your workflow best? Our detailed [comparison post](https://vast.ai/article/wan-2-2-vs-ltx-2-which-ai-video-model-should-you-use) explores the strengths of each model and which one to choose for your specific needs!

#### 4. ACE-Step V1 – Fast Text-to-Music Generation

[**ACE-Step V1**](https://vast.ai/model/ace-step-v1-3.5b) is an open-source music generation model that creates full musical compositions from text prompts in **17 languages**. Thanks to its diffusion-based architecture and efficient audio compression pipeline, it generates music about **15x faster** than comparable alternatives.

Musical quality is high, with controllable duration (up to five minutes works best) and coherent output across melody, harmony, and rhythm. You can even edit lyrics and manipulate vocals. Overall, ACE-Step V1 is a practical tool for fast experimentation with musical ideas, as well as voice cloning applications and music remixing and style transfer.

#### 5. Dia 1.6B – Realistic Dialogue Generation from Text

[**Dia 1.6B**](https://vast.ai/model/dia-1.6b) is a text-to-speech model that produces highly realistic dialogue in English from given transcripts. Using [S1] and [S2] speaker tags, it creates multi-speaker conversations that can also include nonverbal expressions like laughter, coughing, and gasps.

Audio conditioning enables precise control over emotion and tone, and the model even supports voice cloning functionality. Dia 1.6B's applications include conversational audio content, accessibility tools, and voice synthesis applications that require consistent, natural-sounding speech.

#### 6. DeepSeek V3.2 Exp – Long-Context Sparse Attention LLM

[**DeepSeek V3.2 Exp**](https://vast.ai/model/deepseek-v3.2-exp) is an open-source experimental large language model designed for long-context reasoning and advanced text generation. It introduces DeepSeek Sparse Attention, a novel mechanism that enables efficient processing of extended documents and conversations without sacrificing output quality.

The model is well suited for long-form document analysis and generation, research that requires extended reasoning, code generation and debugging, and even customer support with context-aware responses. Notably, it has a license that offers full commercial use permissions.

#### 7. Qwen3.5 397B A17B – Multimodal Reasoning and Agentic Workflows

[**Qwen3.5 397B A17B**](https://vast.ai/model/qwen35-397b-a17b) is the open-weight of the first model in the new Qwen3.5 series. It's a frontier-level native vision-language model with outstanding results across numerous benchmarks.

Built with a sparse mixture-of-experts (MoE) architecture and hybrid attention mechanisms, Qwen3.5 397B A17B supports highly complex tasks in areas like mathematical reasoning and problem solving, multi-turn agentic workflows, code generation and debugging, document analysis, video understanding, visual question answering, and multilingual interaction across **200+** languages and dialects.

### Launch Templates in Minutes on Vast.ai

Today's AI workloads span an incredibly wide range of modalities. The templates above represent just a small snapshot of what developers are building with on Vast.ai right now.

With the **Vast.ai** [Model Library](https://vast.ai/model-library), getting started on your own AI projects is easy. Simply browse templates by use case, select the recommended GPU hardware, and launch a production-ready environment in minutes!


Discover the most popular prebuilt templates on Vast.ai for image, video, audio, and text AI workloads — from Flux.2-Dev to Qwen3.5.

7 Popular Model Templates for AI Workloads on Vast.ai Right Now


As 2025 comes to a close, we're looking back at the milestones and updates that shaped the past year for us here at Vast.ai.

What a year it's been! From new hardware to major security achievements and product launches, here are our top moments of 2025.

## Expanding Our Global GPU Fleet

The past year saw some of the biggest hardware expansions in Vast.ai's history.

In 2025, we added NVIDIA's latest RTX 5000-series GPUs – including the RTX 5090 – followed by high-performance machines like the RTX PRO 6000 WS and the H200 and B200. These additions supported higher-throughput workloads and more efficient AI inference across a [wide range](https://cloud.vast.ai/) of hardware profiles.

Another highlight: our RTX 5090 inventory surpassed 1,000 machines this year!

## Security and Compliance Milestones

This year, Vast.ai achieved both **SOC 2 Type I** and **Type II** certification. These independent audits validated that the security infrastructure we've built over 6+ years of trusted service continues to meet rigorous compliance standards.

We take this responsibility seriously. Data privacy and integrity remain core priorities in everything we build. As we continue to advance our [security and compliance](https://vast.ai/compliance) roadmap, we're committed to upholding the trust you place in us.

## New Templates and Tools

We introduced a number of ready-to-use templates this year, to help you move from idea to execution quickly and seamlessly. Some notable ones included:

- [Langflow + Ollama](https://docs.vast.ai/langflow-ollama) for visual AI workflow design
- [Ostris AI Toolkit](https://cloud.vast.ai/?ref_id=62897&template_id=81e6e9dd266d9bdbcbb0fd48b9afe357) for custom Stable Diffusion and LoRA training
- [Open-Sora](https://cloud.vast.ai/?ref_id=62897&creator_id=62897&name=Open-Sora) and [LTX Video](https://cloud.vast.ai/?ref_id=62897&creator_id=62897&name=ComfyUI%2520%252B%2520LTX%2520Video) (ComfyUI) for video generation workflows
- [ComfyUI ACE Step](https://cloud.vast.ai/?ref_id=62897&creator_id=62897&name=ACE%2520Step%2520Music%2520Generation) for AI-assisted music creation
- [InvokeAI](https://cloud.vast.ai/?ref_id=62897&template_id=c309df384010cf9d3dc9abb9e0a5a6fd) for image generation in a professional web interface
- [Dia 1.6b TTS](https://cloud.vast.ai/?ref_id=62897&template_id=6ba071acb5f590913c5eaf6c2dc3d0db) for lifelike text-to-speech

But the biggest update of the year was still ahead...

## Introducing Vast.ai Serverless

The headline story of 2025 was the [recent launch](https://vast.ai/article/vast-ai-serverless-automated-gpu-scaling) of **Vast.ai Serverless** – a fully automated GPU compute layer designed for AI inference at scale.

With our Serverless offering, you can easily run workloads without managing instances on your own or overpaying for capacity. You simply send inference requests and the platform automatically selects the right hardware, routes workloads across regions as needed, and predictively scales up and down based on usage.

In short, Vast.ai Serverless gives you access to a diverse, globally distributed GPU fleet with a serverless model that applies predictive optimization and flexible scaling – with none of the overhead. We're thrilled to finally make truly serverless AI inference a reality on Vast.ai!

## Looking Ahead

To all of our users and the wider Vast.ai community, thank you for being part of our journey this year. It's been an incredible year of growth, and we're grateful to everyone building and innovating with us.

Here's to an even stronger year ahead!


As 2025 comes to a close, we're looking back at the milestones and updates that shaped the past year for us here at Vast.ai.

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