Awesome Free Compute 2026 
A curated, source-cited guide to free CPU, GPU, serverless, model-API, and LLM quotas in 2026 — and how to stack them for $0.
Last verified: June 2026. Free tiers change constantly — always confirm on the provider's official pricing page before relying on a number. Corrections via PR are very welcome.
This was compiled from a multi-model research sweep of official pricing/docs pages (not blog hearsay), with conflicts resolved against primary sources.
🌐 Now also a website: amitpandeytiktok.github.io/awesome-free-compute-2026 — the same guides, beautifully rendered, plus The Wire: a self-updating feed of free-AI / token news + open-source releases (keyless, refreshed every few hours, $0 to host). New to all this? Start with the AI & Tokens 101 primer.
[!TIP] 👉 Companion guides: - The Free Token-Maxxing Guide — maximum frontier-model usage for $0: free LLM APIs, free coding tools, the BYO-key trick, LiteLLM/OpenRouter orchestration, quota-stretching, and a full 🇨🇳 China section ("100M tokens for ~$1", cheap coding plans, free image/video generation). - The Free Audio Generation Guide 🎙️ — free music, voice (TTS + cloning), and transcription for creators, with a hard focus on commercial licensing (which "free" tools you can actually monetize). - The Free Media Post-Production Guide 🎬 — finish it for $0: 4K upscale, 60fps interpolation, stem separation, mastering/loudness, subtitles & dubbing — again filtered hard on commercial licensing. - The Free Ship-It Stack 🚀 — the backend to deploy an AI app for $0: databases, vector/RAG, embeddings, hosting, storage, auth — with the 2026 commercial-use traps flagged (Vercel Hobby, GitHub Pages, dead free tiers).
Contents
- TL;DR — the best $0 stack
- 1. Always-free CPU / VMs
- 2. Free GPU notebooks & sessions
- 3. Serverless GPU (Modal-class)
- 4. Hosted model APIs — image / video / utilities
- 5. Free LLM APIs
- 6. Trial credits & student / startup programs
- 7. Free fine-tuning & training
- Corrections & caveats
- Sources
- Contributing
- License
TL;DR — the best $0 stack
- Always-on backend: Oracle Cloud Always Free (4 OCPU / 24 GB ARM) + a tiny GCP e2-micro as backup.
- Recurring free GPU: Modal — $30/month, resets monthly (≈ 50 h T4 / 27 h A10 / 12 h A100 every month). The single best standing free-GPU allowance.
- Long unattended GPU jobs: Kaggle — 30 GPU-hrs/week, runs 12 h headless.
- Upscale / interpolate / animate (no GPU setup): Replicate — Real-ESRGAN, FILM, LTX-Video, Wan — pennies per run.
- Free image gen, daily: Cloudflare Workers AI FLUX (10k neurons/day).
- Free LLM (text): Google AI Studio / Gemini Flash; GitHub Models for no-card prototyping.
1. Always-free CPU / VMs
| Provider | Always-free? | What you get | Key gotchas |
|---|---|---|---|
| Oracle Cloud Always Free ⭐ | ✅ Forever | 4 OCPU / 24 GB RAM (Ampere A1) + 2× AMD micro VMs, 200 GB block storage, 20 GB object storage | "Out of host capacity" errors; home-region lock-in; idle VMs reclaimed after 7 days of <20% use |
Google Cloud e2-micro |
✅ Forever | 1 shared-vCPU / ~1 GB VM, 30 GB disk, 1 GB egress/mo — only in us-west1, us-central1, us-east1 |
Too small for AI; great for bots, monitors, webhooks |
| AWS Free Tier | ❌ | 2026 model: $100 credit + up to $100 earned, account closes after 6 months. Lambda stays free (1M req + 400k GB-s/mo) | No more "12-month free EC2"; treat any EC2 free as introductory |
| Azure Free Account | ❌ | $200 / 30 days + 750 h B1s for 12 months | B-series throttles when CPU credits run out |
| Alibaba Cloud | ❌ | $90 ECS credit / 3 months; some non-VM "always free" products | Asia-centric; ECS is limited_free, not always-free |
| Fly.io / Render / Railway / Koyeb | ❌ (mostly) | Render free web svc sleeps after 15 min idle; Railway $1/mo credit; Fly no new free tier; Koyeb now Pro-first | Not viable as a real always-on free server |
| Hetzner | ❌ | No free tier — but cheapest reliable paid VPS fallback | Billed until deleted, even when powered off |
2. Free GPU notebooks & sessions
| Platform | GPU / TPU | Free quota | Persistence | Best for |
|---|---|---|---|---|
| Kaggle ⭐ | T4 ×2 / P100 / TPU v3-8 | 30 GPU-hrs/wk + 20 TPU-hrs/wk, 12 h headless, 73 GB disk | Outputs persist (≤20 GB) | Long unattended renders / upscaling |
| Google Colab | T4 (16 GB) | ~10–15 h/wk (dynamic, throttled) | ❌ none (pipe to Drive) | Prototyping new repos fast |
| Lightning AI Studio | T4 (frac. A100) | 15 credits/mo (~15–22 h T4) | ✅ full env persists | Multi-day project workspace |
| Hugging Face ZeroGPU | Shared A100 | Short bursts (<120 s/call) | ephemeral | Demo UIs — not renders |
| Google TPU Research Cloud | TPU v2–v5 | Free ~30 days (apply w/ research note) | n/a | Training a model from scratch |
| SageMaker Studio Lab | T4 | 4 h/session, 8 h/day, 15 GB persistent | ✅ | Colab alternative if approved |
| Paperspace (DigitalOcean) | M4000/A4000 | ⚠️ Free machines ~never available; needs $8/mo Pro | ✅ | Skip unless paying |
3. Serverless GPU (Modal-class)
Conflict resolved: Modal's free tier is $30/month recurring (confirmed on
modal.com/pricing). Blog posts claiming "no recurring free tier" are outdated/wrong.
| Platform | Free tier | Cheapest GPU $/hr | Scale-to-zero | Notes |
|---|---|---|---|---|
| Modal ⭐ | $30/mo recurring | T4 $0.59 · A10 $1.10 · A100-80 $2.50 · H100 $3.95 | ✅ | Best Python DX; CPU $0.047/core-hr |
| Beam.cloud | 15 h (one-time) | RTX 4090 $0.69 · H100 $3.50 | ✅ | Closest Modal clone; cold starts not billed |
| Inferless | 10 h / $30, no card | frac-T4 $0.33 · T4 $0.66 | ✅ | Easiest instant trial (joining Baseten) |
| Cerebrium | signup credits | A10 $1.10 | ✅ (1–3 s) | Cold starts not billed |
| Baseten | signup credits | (per-min, JS-rendered) | ✅ | Production-grade serving (Truss) |
| RunPod | ❌ pay-go | A5000 $0.27 · L4 $0.39 · A100 $1.39 | ✅ (serverless) | Cheapest reliable paid overflow |
| Google Cloud Run | ✅ CPU/req only (no free GPU) | L4 (instance-billed) | ✅ (~5 s) | Use the free CPU tier for render jobs |
| Vast.ai | ❌ pay-go | spot market (cheapest anywhere) | n/a | Fault-tolerant batch / training |
What $30/mo on Modal buys (GPU-only): ≈ 50 h T4 · 37 h L4 · 27 h A10 · 14 h A100-40 · 12 h A100-80 · 7.6 h H100 — or ≈ 638 CPU-core-hours.
4. Hosted model APIs — image / video / utilities
| Service | Free | Models & example costs | Best use |
|---|---|---|---|
| Cloudflare Workers AI ⭐ | 10,000 neurons/day (recurring) | FLUX text-to-image | Free daily cover-art / image drafts |
| Replicate ⭐ | pay-per-run (no standing free) | Real-ESRGAN (upscale) · FILM ~$0.007/run · LTX-Video ~$0.014/run · Wan I2V $0.09–0.25/output-sec · FLUX/SDXL | Upscale → interpolate → animate utility shelf |
| fal.ai | small free credits | Wan I2V $0.20 (480p) / $0.40 (720p) per ~5 s clip · FLUX Schnell $0.003/MP | Fast hosted video gen |
| Hugging Face Inference | $0.10/mo (Free), $2/mo (PRO) | routed open models | Tiny monthly sandbox |
| Together AI | "start free" (credits) | FLUX Schnell $0.0027/MP · SDXL $0.0019/MP | Cheapest paid still images |
5. Free LLM APIs
| Provider | Free quota | Card? | Best for |
|---|---|---|---|
| Google AI Studio (Gemini) ⭐ | Broad free tier (Flash / Flash-Lite) | No | Best quality-free text ⚠️ free-tier inputs used to improve products |
| GitHub Models | 15 RPM / 150 RPD (low tier) | No | No-infra prototyping |
| Cloudflare Workers AI | 10,000 neurons/day | No | Open-model drafts; not trained on your content |
| Groq | fast free dev tier (check console) | No | Rapid iteration |
| Cerebras | free/trial (5–30 RPM, 1M tokens/day) | No | Ultra-fast brainstorming |
| Cohere | 1,000 calls/mo trial | No | Rewrites, translation |
| OpenRouter | :free model variants |
No | Model variety in one API |
| Mistral La Plateforme | experiment tier | Usually no | EU provider option |
6. Trial credits & student / startup programs
| Program | Amount | Validity / eligibility |
|---|---|---|
| Google Cloud Free Trial | $300 | 90 days |
| Oracle Cloud Free Trial | $300 | 30 days (Always Free continues after) |
| Azure Free Account | $200 | 30 days |
| AWS Free Tier (2026) | $100 + up to $100 | closes after 6 months |
| Alibaba Cloud ECS | $90 | 3 months |
| GitHub Student Pack | DigitalOcean $200/yr, Azure $100 (no card), Heroku credits, +more | verified students |
| Google for Startups | up to $200k ($350k for AI startups) | startup eligibility |
| AWS Activate | $5k–$100k | startup via Activate provider |
| Google TPU Research Cloud | free TPU v2–v5 | apply with a research note |
7. Free fine-tuning & training
You don't need a rented A100 to fine-tune. In 2026 the real $0 path is LoRA / QLoRA on free notebook GPUs — a 7–8B adapter or an SDXL LoRA trains fine on a free T4. Hosted "free fine-tune" offers have mostly dried up; the genuine free compute is the notebooks below.
Free training venues
| Venue | Hardware | Free quota | Trains |
|---|---|---|---|
| Kaggle Notebooks | T4×2 / P100 | ~30 GPU-h/week | 7–8B QLoRA, SDXL LoRA |
| Google Colab (free) | T4-class (not guaranteed) | variable, disconnects | 7–8B QLoRA, SDXL LoRA |
| Google TPU Research Cloud | Cloud TPU v2–v5 | free quota after rolling approval | bigger JAX/TPU jobs — the only "large free" path |
| HF Spaces ZeroGPU | shared big GPU | ~5 min/day | demos/inference, not training |
| Predibase trial | hosted serverless | $25 credits / 30 days | small hosted LoRA jobs |
Trainers (all run on a single free GPU)
- 🥇 Unsloth (Apache-2.0) — 2× faster, up to ~70% less VRAM; ships ready-made free Colab/Kaggle notebooks. Best beginner → 7–8B QLoRA path.
- Axolotl / LLaMA-Factory (Apache-2.0) — YAML/GUI SFT·DPO·GRPO across many models.
- HF PEFT + TRL (Apache-2.0) — the LoRA/QLoRA + SFT/DPO libraries everything builds on.
- Images: kohya_ss (SDXL LoRA/DreamBooth), ai-toolkit / SimpleTuner (FLUX/SDXL).
⚠️ The base-model license carries forward. A LoRA on a non-commercial base is still non-commercial. Safe commercial bases: Qwen3 · Mistral-7B · FLUX.1-schnell (Apache-2.0). Custom terms: Llama 3.x (Meta Community + AUP), Gemma (Google terms), SDXL (RAIL++ use restrictions). ❌ FLUX.1-dev is non-commercial.
Mostly gone: OpenAI fine-tuning is winding down (closed to new users); Cohere deprecated it (Sept 2025); Gemini API / AI Studio offers no tuning; Together/Fireworks are pay-as-you-go. Predibase's $25 / 30-day trial is the clearest remaining hosted credit.
Corrections & caveats
- AWS Free Tier was overhauled in 2026 — it's now a credit model (closes after 6 months), not the old 12-month free EC2.
- Replicate has no recurring free credit — it's pay-pennies-per-run (still excellent for upscale/interpolate jobs).
- Could not verify from official pages (client-rendered): Baseten & Cerebrium exact free-credit amounts; Cloud Run's exact L4 GPU rate. Confirm in-browser.
- Industry consolidation: Inferless → joining Baseten; Koyeb → joining Mistral AI. Terms may shift.
- All numbers are June 2026 snapshots. Verify before relying.
Sources
Primary official pages referenced (accessed June 2026):
- Oracle — https://docs.oracle.com/en-us/iaas/Content/FreeTier/freetier_topic-Always_Free_Resources.htm · https://www.oracle.com/cloud/free/faq/
- Google Cloud — https://cloud.google.com/free/docs/free-cloud-features · https://cloud.google.com/run/pricing · https://cloud.google.com/startup
- AWS — https://aws.amazon.com/free/ · https://aws.amazon.com/free/terms/ · https://aws.amazon.com/lambda/pricing/ · https://aws.amazon.com/startups/faq
- Azure — https://azure.microsoft.com/en-us/pricing/purchase-options/azure-account · https://azure.microsoft.com/en-us/free/students
- Alibaba Cloud — https://www.alibabacloud.com/en/free
- Modal — https://modal.com/pricing
- Beam — https://docs.beam.cloud/v2/resources/pricing-and-billing
- RunPod — https://www.runpod.io/pricing
- Replicate — https://replicate.com/pricing · model pages for Real-ESRGAN, FILM, LTX-Video, Wan
- fal.ai — https://fal.ai/pricing · https://fal.ai/models
- Inferless — https://www.inferless.com/pricing
- Cerebrium — https://www.cerebrium.ai/pricing
- Cloudflare Workers AI — https://developers.cloudflare.com/workers-ai/platform/pricing/
- Hugging Face — https://huggingface.co/docs/inference-providers/pricing
- Together AI — https://www.together.ai/pricing
- Google AI Studio (Gemini) — https://ai.google.dev/gemini-api/docs/pricing
- GitHub Models — https://docs.github.com/en/github-models
- Kaggle — https://www.kaggle.com/docs/efficient-gpu-usage
- Lightning AI — https://lightning.ai/pricing
- Hugging Face ZeroGPU — https://huggingface.co/docs
Community aggregators worth cross-checking:
- https://github.com/ripienaar/free-for-dev
- https://github.com/cloudcommunity/Cloud-Free-Tier-Comparison
Contributing
Quotas drift fast. If you spot an outdated number:
- Open an issue or PR with the official source URL and the date you checked it.
- Keep entries source-cited — no blog hearsay.
License
CC0-1.0 — public domain. Copy, adapt, and share freely.
📝 Spotted a stale quota or a license that changed? This guide is open source — edit it on GitHub.