They're a broker. We're a marketplace.
Bid directly on global supply instead of renting from the middle.
The Core Economics
RunPod sells GPU time from a catalog, split between partner data centers and community hosts. The rate on the page is the rate you pay, and the broker's margin is inside it.
Akash puts you in front of the supply directly. You describe the workload and the maximum you'll pay, and providers compete for it. The price is whatever the market clears at that moment. Zero egress fees.
Here's what that costs you: nothing you can look up on a rate card. Prices move as providers compete and as more capacity joins the network. See what the market is charging right now on the GPU pricing page.
| RunPod | Akash | |
|---|---|---|
| Price | Published rate card | Set by competitive bids, per deployment |
| Who you rent from | RunPod, as intermediary | The provider, directly |
| Egress | Billed separately | Zero |
| Storage | Volume disks billed separately | Requested in the same bid |
Architectural Distinctions
No inventory to be out of
RunPod allocates from inventory it controls, so a busy region returns nothing and you wait. On Akash there is no central inventory. Every provider publishes what it has, and any provider that matches your spec can bid. You aren't asking for a limit increase. You're publishing a job and seeing who wants it.
You pick the provider, not a scheduler
Every bid names the provider, the price, the region, and the hardware. You choose. That means filtering to Verified Enterprise data centers for work that has to stay up, pinning a region for data residency, or taking the cheapest Community Independent bid for a batch job that restarts cleanly. Those are your calls, not a scheduler's.
Service Parity Index
If it runs in Docker, it runs on Akash. PyTorch, vLLM, and CUDA images pull and run unmodified.
| Compute requirement | RunPod | On Akash | How it works |
|---|---|---|---|
| GPU execution | On-demand pods, templates | Standard containers | Your image runs on provider hardware. No repackaging, no proprietary runtime. |
| Multi-service apps | Multiple pods | One SDL, many services | A single file describes every service, its resources, and its ports. |
| Data persistence | Network volumes | Persistent volumes on the lease | Requested in the deployment file, attached to the container. |
| Configuration | Console forms, REST API | SDL, CLI, REST API, MCP | One portable YAML file, deployable from a terminal, a script, or an AI coding agent. |
| Confidential compute | Not offered | One line in your SDL | tee: cpu or tee: cpu-gpu runs your workload in an AMD SEV-SNP or Intel TDX enclave. |
What We Are. What We Aren't.
Akash doesn't have a centralized SLA, because we aren't a centralized provider. We're a marketplace.
You choose your level of reliability by choosing your provider. The marketplace sorts them into tiers: Verified Enterprise data centers with redundant power and networking, and Community Independent operators optimized for price. You don't need to vet every provider yourself — filter by tier and deploy.
For development, training, batch processing, and inference where cost matters more than a contractual uptime guarantee, that trade is worth making. Where you need one vendor on the hook with a signed SLA, it isn't. We'd rather say that here than have you find out later.
FAQs
With the right setup, yes. Deploy on Verified Enterprise providers, run more than one lease, and load-balance across them. Venice.ai and Prime Intellect serve production inference this way. A single lease with no redundancy behaves like a single instance with no redundancy — the same is true anywhere, just without an SLA attached here.
No. Deploy in dollars. Akash Console takes a credit card and bills in USD, the same as any other SaaS tool, and the Console API authenticates with a standard API key. Sign up with GitHub or email, add a card, and ship. No wallet, no seed phrase, no token.
Console Air is the self-custody path: connect your own wallet and sign every transaction yourself. The network also supports USDC and AKT for teams that want on-chain sovereignty — that's an upgrade, not an entry requirement. Protocol-powered, not crypto-complicated.
The lease ends and the workload stops. Akash doesn't migrate a running container to another provider automatically — recovery is a redeploy through the CLI or API. Persistent volumes live with the provider, so checkpoint anything you can't lose to external storage.
Start Building
Describe the workload, read the bids, and pay the market's clearing price for the hardware you asked for.