Akash Console Free GPU Credits ($100)
Source: https://console.akash.network/
Description
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+ 1 Akash Network is a decentralized GPU cloud marketplace (think "Airbnb for GPUs") with two free-credit programs:
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+ 3 • AkashML — managed inference for popular open-source LLMs (Llama, DeepSeek, Qwen): $100 in token credits at signup, OpenAI-compatible API, no payment method required.
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+ 4 • Akash Console — general decentralized compute for deploying your own containers/models on third-party GPU providers: $10 free trial credit, no card required, then top-up via credit card (Stripe) or AKT/USDC crypto.
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+ 6 If you just want to call hosted Llama 3.3 70B / DeepSeek V3 / Qwen3 via an OpenAI-compatible endpoint, AkashML is the $100 path that matches this entry's title. If you want to ship your own Docker image to a permissionless GPU provider, that's Akash Console's $10 starter trial.
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+ 14 1. Go to akashml.com and click "Start free" (or visit playground.akashml.com)
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+ 15 2. Sign up with email or Google — no credit card, no crypto wallet required
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+ 16 3. Verify your email
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+ 17 4. $100 in AI token credits are auto-credited to your account
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+ 18 5. From the dashboard, generate an API key (Settings → API Keys)
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+ 19 6. Try a model in the Playground UI, or call the OpenAI-compatible endpoint:
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+ 21 POST https://chat.akashml.com/v1/chat/completions
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+ 22 Authorization: Bearer <YOUR_API_KEY>
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+ 24 The base URL and exact model IDs are shown next to each model in the dashboard.
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+ 25 7. Done — burn through $100 of tokens across Llama, DeepSeek, Qwen, Kimi, MiniMax
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+ 28
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+ 29 1. Go to console.akash.network and click "Sign in"
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+ 30 2. Sign in with email, Google, or connect a Keplr/Leap wallet (no wallet needed for the free trial)
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+ 31 3. $10 in free trial credit is added automatically — no credit card on file
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+ 32 4. Browse One-click templates (Llama, Stable Diffusion, Jupyter, Postgres, etc.) or write your own SDL (Akash's manifest format)
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+ 33 5. Click Deploy — your bid is broadcast to providers, you accept one (cheapest by default), the workload starts on a third-party GPU/CPU provider
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+ 34 6. To continue past $10, top up via credit card (Stripe) in-console or send AKT/USDC to your account address
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+ 35
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+ 36 Important:
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+ 37 • AkashML's $100 is token credits — usable only on managed inference, not on raw GPU compute.
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+ 38 • Akash Console's $10 trial is deployment credit — usable for any container deploy (CPU or GPU).
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• The two are separate accounts at separate URLs (akashml.com vs console.akash.network). Signing up to one does not give credits on the other.
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+ 40 • Akash Console deployments run on third-party providers — performance, uptime, and locations vary. Pin a specific provider attribute in your SDL if you need consistency.
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+ 41 • Console transitioned to a USD-pegged credit (ACT) with the Mainnet 17 / BME upgrade (March 2026). Practically: prices and credits are denominated in dollars; AKT is burned in the background.
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+ 47 All models below are accessible from the $100 credit pool with one OpenAI-compatible API key:
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+ 49 ModelInput ($/1M tok)Output ($/1M tok)Notes
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+ 50 Llama 3.3 70B$0.13$0.40General-purpose, large context
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+ 51 DeepSeek V3~$0.20~$0.30Strong on code/reasoning
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+ 52 Qwen3-30B-A3B$0.23$1.80MoE, multilingual
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+ 53 Kimi K2variesvariesLong-context
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+ 54 MiniMax M2variesvariesMultimodal
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+ 55
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+ 56 The model library is updated frequently (new entries land via user requests on Slack). Always check the live list at akashml.com/models for current pricing and any new additions.
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+ 60 Akash Console lets you deploy any container to a third-party GPU provider — common templates include:
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+ 61 • Llama / DeepSeek / Qwen via vLLM, Ollama, or text-generation-inference
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+ 62 • Stable Diffusion (Automatic1111, ComfyUI)
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+ 63 • Jupyter notebooks with PyTorch/TensorFlow
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+ 64 • Custom Docker images via SDL manifest
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+ 65
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+ 66 GPU SKUs available on the marketplace include H100, A100 80GB, A6000, L40, RTX 4090, RTX 3090 at marketplace-driven (often 70–85% below hyperscaler) pricing.
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+ 72 • AkashML $100 is a one-time grant. Once exhausted, you pay per-token at posted rates (still cheaper than most managed-LLM providers). No auto-charge — you must add a payment method explicitly.
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+ 73 • Akash Console $10 trial is intentionally small — enough to test a deploy, not run production for a month. After it's gone, top up via card or crypto to continue.
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+ 74 • Decentralized = variable. Provider quality on the open marketplace varies. For production, audit-pin a specific provider in your SDL or use AkashML (which is fully managed by the Akash team across vetted providers).
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+ 75 • Crypto exposure (Console only): under the hood, deployments use ACT (a USD-pegged credit minted by burning AKT). For card-paying users this is invisible, but in extreme market events the conversion can lag. Day-to-day, treat it as USD.
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+ 76 • No SLA on free tier for either product. AkashML offers Slack support; deeper SLAs require paid commitments.
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+ 82 Drop-in replace your OpenAI base URL:
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+ 85 from openai import OpenAI
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+ 86 client = OpenAI(
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base_url="https://chat.akashml.com/v1",
base_url="https://chat.akashml.com/v1", No comments on this line yet.
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api_key="<YOUR_AKASHML_KEY>",
api_key="<YOUR_AKASHML_KEY>", No comments on this line yet.
+ 89 )
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+ 90 resp = client.chat.completions.create(
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model="llama-3-3-70b", # see dashboard for exact ID
model="llama-3-3-70b", # see dashboard for exact ID No comments on this line yet.
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messages=[{"role": "user", "content": "Hello"}],
messages=[{"role": "user", "content": "Hello"}], No comments on this line yet.
+ 93 )
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No SDK rewrite needed if you already use the openai Python/Node clients.
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+ 102 • Stack the credits: sign up to both AkashML (for inference) and Akash Console (for self-hosted deploys). Different accounts, different credit pools, no cross-restriction.
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+ 103 • Prime Intellect bonus: Prime Intellect has historically given an extra $100 in Akash GPU credits to users who route through their meta-cloud — worth checking if you're already using Prime Intellect.
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+ 104 • AkashML launched November 2025 — the $100 credit offer has been the standing welcome bonus since launch and is still active as of May 2026.
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+ 105 • Region/geography: AkashML routes inference globally across 65+ datacenters; you can't pin a specific region on the free tier. For data-residency-sensitive workloads, use Akash Console with a provider attribute filter.
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+ 106 • Compare with: DeepInfra ($5 + $5/mo recurring), Together AI ($1 signup), OpenRouter free models, Cerebras (1M tokens/day) — Akash's $100 is one of the larger one-shot grants if you actually want to test the listed flagship open models at scale.
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+ 109
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+ 110 Sources:
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+ 111 • AkashML — Managed Inference Homepage
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+ 112 • AkashML Models & Pricing
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+ 113 • AkashML Launch Announcement (Nov 22, 2025)
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+ 114 • Akash Console
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+ 115 • Akash Console Login / Signup
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+ 116 • Credit Card Payments in Akash Console
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+ 117 • Akash Network — Getting Started
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+ 118 • Akash GPU Pricing Page
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