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https://akash.network
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10 September 2026 at 12:16 UTC
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Akash Network - Decentralized Compute Marketplace 
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 --> T h e O p e n C l o u d f o r A I ' s N e x t F r o n t i e r 
 Tap into global GPU power at a fraction of the cost.
 Deploy Now 
Read Razer Case Study
 Get Started
 AI Inference on AkashML
 Access leading open-source models instantly via drop-in, OpenAI-compatible APIs. Experience sub-second latency and drastically lower costs than traditional cloud providers without managing the underlying infrastructure.
 Launch AkashML 
 Deploy on Akash Console
 Migrate your Docker containers to an independent cloud network. Use pre-built templates or supply an SDL configuration file to spin up raw compute directly on sovereign infrastructure.
 Deploy Now 
 Become a Compute Provider
 Monetize your idle server capacity. Run our provider software to list your GPU and CPU hardware on the global network and automatically earn revenue from enterprise deployments.
 Become a Provider 
 Get Started
 AI Inference on AkashML
 Access leading open-source models instantly via drop-in, OpenAI-compatible APIs. Experience sub-second latency and drastically lower costs than traditional cloud providers without managing the underlying infrastructure.
 Launch AkashML 
 Deploy on Akash Console
 Become a Compute Provider
 The Efficiency Gap 
 Market-driven pricing vs. legacy markups. 
 View Pricing Page 
Choose a GPU Model
1
 H200 H100 A100 
1h
 H200 H100 A100 
 1 
 1h 
Akash
Save %
 Deploy Now 
AWS
Google Cloud
Coreweave
 View Pricing Page 
 Why the gap? Legacy providers set static rates to protect corporate margins. Akash prices are determined by a global reverse auction to maximize hardware utilization. You pay for the silicon, not the provider's overhead.
 How It Works
 Go from configuration to an active workload in seconds.
 1
 Configure your deployment
 Select a template or supply your own container image. Specify required resources like GPUs, region, and maximum price to send your request out to the network.
 Llama 3.1 70B
 AI
 H200
 H100
 A100
 Image
 Model
 GPU
 CPU
 Memory
 Max price
 Deploy 
 2
 Automated bidding
 Independent infrastructure providers meeting your exact requirements automatically submit competitive bids in real time. You see who is offering the hardware and the precise rate.
 3
 Authorize and execute
 Accept the optimal bid to open the lease. The network handles the backend routing instantly, initializing your container and spinning up a live endpoint for your workloads.
 How It Works
 Go from configuration to an active workload in seconds.
 1
 Configure your deployment
 Select a template or supply your own container image. Specify required resources like GPUs, region, and maximum price to send your request out to the network.
 2
 Automated bidding
 3
 Authorize and execute
 Deploy Now 
 Llama 3.1 70B
 AI
 H200
 H100
 A100
 Image
 Model
 GPU
 CPU
 Memory
 Max price
 Deploy 
 Supercloud for AI
 Stop overpaying for gated compute. Deploy on a global marketplace of high-density GPUs to maximize your engineering runway.
 Docker Native
 No refactoring. If it runs in a container, it runs on Akash. Migrate your stack from legacy providers with zero changes to your application code.
 Train 3x Longer
 H100s for $1.33/hr vs AWS at $3.93/hr. Get nearly 3 hours of compute for the price of 1. Transparent pricing, no hidden fees.
 1-Click Templates
 Launch pre-configured environments for Llama 3, DeepSeek, and Stable Diffusion in seconds. Move from configuration to active container in less than 60 seconds.
 Global Silicon Supply
 Access enterprise-grade H100s and A100s alongside high-performance consumer RTX 5090s. Scale from single-node inference to massive interconnected training clusters on demand.
 Ray Distributed Clusters
 Scale your machine learning workloads instantly. Provision multi-node Ray clusters to train and fine-tune large-scale models natively, eliminating complex manual cluster orchestration.
 Operational Autonomy
 Retain absolute control over your network routing and data residency. Moving away from closed, proprietary ecosystems protects your application stack from single-provider lock-in and vendor dependencies.
Razer Powers Viral AI Inference on Akash
To scale its global AVA Mini campaign, Razer integrated its open-source AIKit platform with the Akash independent compute network. By pooling distributed high-performance consumer GPUs behind a single managed endpoint, the engineering team achieved reliable elastic scaling with zero manual infrastructure intervention.
 $0.01
 per generated image
 3.24s
 avg. end-to-end response time
 15x
 lower inference costs than centralized APIs
Read Case Study
 " T h e f u t u r e o f A I i s n ' t j u s t b e t t e r m o d e l s – i t ' s e f f i c i e n t i n f r a s t r u c t u r e . W i t h R a z e r A I K i t , m a n y u s e c a s e s a l r e a d y r u n l o c a l l y . W i t h A k a s h N e t w o r k , w e e x t e n d t h a t i n t o a d e c e n t r a l i s e d c l o u d t o s c a l e e f f i c i e n t l y . " QUYEN QUACH
 Vice President of Software, Razer
 Global Grid. No Off Switch.
 Access a global network engineered for high availability. While centralized clouds rely on single points of failure, Akash uses a distributed protocol to keep your workloads independent and resilient against system-wide failure.
 View All Providers Become a Provider 
 65
 Active Providers
 15k
 vCPUs
 460
 GPUs
 92 TB
 Memory
 779 TB
 Storage
 View All Providers 
Start Building
Launch containerized AI workloads via our self-serve console, or coordinate custom enterprise infrastructure configs with our team.
 Deploy Now 
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