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Tashi: The Edge Consensus Network
Last updated
Tashi: The Edge Consensus Network
Last updated
Game developers today face an existential dilemma: centralized cloud providers demand upfront spend, creating a race between player base growth and financial runway, will the game scale fast enough to survive its own server bill? Meanwhile, decentralized cloud alternatives promise cost relief but fail to deliver the low latency and high performance real-time games demand. With infrastructure costs rising 16% annually and multiplayer games alone burning over $45B a year on servers, the status quo is unsustainable. Capital that should go toward new features, content, or community is instead spent keeping servers online. Even great games are shut down, not from lack of demand, but from an inability to sustain the cost model. It's time for a better way.
Tashi introduces a revolutionary solution: the world's first Edge Consensus Network, eliminating the need for centralized servers entirely, while delivering superior performance and security, reducing costs by up to 90% compared to traditional cloud services and existing DePIN solutions. This translates to over $20B in annual savings within the multiplayer gaming market, as just one notable example.
Unlike previous attempts at decentralized infrastructure that forced tradeoffs between performance and trustlessness, Tashi achieves both through its innovative leaderless mesh architecture powered by an advanced Directed Acyclic Graph (DAG). While traditional blockchains and even newer Distributed Ledger Technologies (DLTs) struggle with the trilemma of balancing security, decentralization, and scalability, Tashi's architecture transcends these limitations. By implementing a tunable consensus mechanism that eliminates the need for computationally expensive mining or leader selection, and an embedded network services layer, the system can be adapted for near-instant finality or ultra-high throughput to coordinate millions of concurrent sessions with infinite scalability, even surpassing centralized hyperscalers on performance in many cases.
Tashi merges edge computing, next-generation ledger technologies, and purpose-built services into a resilient solution, tackling the challenges facing latency-sensitive applications and games. Tashi’s DePIN creates a sustainable ecosystem where both developers and node operators thrive; simplifying integration, lowering costs, and out-performing the one-size-fits-all raw compute and storage of existing centralized and decentralized cloud.
Join us in pioneering the future of computing, where decentralization meets performance, and innovation is no longer held hostage by infrastructure costs.
Welcome to the Edge Consensus Network. Welcome to Tashi.
The global gaming infrastructure market, valued at $45B annually, underpins a rapidly expanding gaming industry projected to reach $300B by 2027. However, current infrastructure presents significant technical and economic challenges for developers and users alike.
Insurmountable Expenses: High operational costs limit scalability and sustainability, leading to hundreds of game shutdowns and loss of player assets annually.
Enhanced Security: Centralized points of failure result in vulnerabilities to downtime, cyber-attacks, and unfair latency advantages.
Cheating and Fairness Issues: Exploitation of centralized server vulnerabilities allows cheating, such as local state mutation and lag switching.
Limitations of On-Chain Gaming: Fully on-chain solutions are currently too slow for real-time gaming, causing numerous failures and shutdowns.
Tashi addresses these critical issues by leveraging an innovative model called a PlayerMesh, a network of distributed nodes powering specialized services, to significantly enhance efficiency and reduce costs. At the heart of every PlayerMesh is Tashi Consensus, the core synchronization mechanism that enables peer devices to communicate and stay in sync without relying on any external servers, networks, or infrastructure. This peer-to-peer model ensures ultra-low latency and fault tolerance, making it ideal for real-time gameplay and other latency-sensitive applications.
Cost Efficiency: Tashi completely eliminates traditional server expenses, replacing an average monthly cost of $2,000 per developer plus $0.09 per concurrent user with a substantially lower fee of $0.05 per concurrent user. This reduction saves developers up to 90% compared to centralized solutions.
Enhanced Security and Fair Play: Decentralization mitigates single points of failure and centralized vulnerabilities, substantially reducing cheating and susceptibility to cyber-attacks.
Scalability and Performance: Tashi's architecture effortlessly scales to support millions of concurrent users without performance degradation, using PlayerMesh to distribute game logic via Tashi Consensus rather than expensive centralized relays.
Optimized Resource Usage: Tashi nodes handle real-time workloads efficiently, reducing CPU and memory dependencies and maintaining high availability even during network volatility.
Reduced Data Costs: Tashi utilizes DAG ancestry for efficient data transmission, significantly cutting egress costs and enhancing network performance.
Tashi provides robust developer tools, including the PlayerMesh SDK for Unity integration and strong community support via GitHub and Discord. Integration with major gaming engines (Unity, Unreal, Godot, Bevy) streamlines onboarding and adoption.
Already partnered with over 30 game studios, numerous blockchain protocols, DePINs, and Web3 partners, Tashi is positioned to redefine gaming infrastructure, enabling developers to focus purely on creating exceptional gaming experiences.
Tashi’s network consists of the following primary components:
A core consensus engine, called the Tashi Consensus.
A comprehensive suite of embedded network services available to developers.
An ecosystem of node operators, comprised of globally distributed edge devices.
Tashi’s network architecture design supports the execution of a trustless, performant and scalable leaderless voting algorithm in a peer-to-peer environment. At the core of the Tashi Network is the Tashi Consensus, a Rust-based client.
Directed Acyclic Graph (DAG) Formation: Tashi Consensus utilizes Directed Acyclic Graph (DAG) technology to maintain a logical structure that represents events and their interrelationships. This DAG-enforced structure ensures that it records all events in a clear, unambiguous manner, maintaining the integrity of the event chain.
Voting Mechanics: The consensus algorithm employs a novel voting mechanism whereby each node locally votes on the order of events derived from the DAG. This design minimizes redundant processing and allows for swift and decentralized decision-making on event ordering.
Fair Ordering: Tashi Consensus enforces a democratic ordering of events, where no single node can manipulate the sequence of transactions. Unlike traditional systems that rely on a leader to dictate order, Tashi Consensus requires that an event be seen by at least two-thirds of the peers before its position in history can be determined. This consensus-driven approach ensures that ordering emerges from broad network agreement, not centralized authority, making it one of the fairest and most tamper-resistant mechanisms for sequencing events.
Application Specific Tunability: Tashi Consensus can be adapted to prioritize near-instant finality (20k TPS @ 28-50ms latency) or ultra-high throughput (1M TPS @ 890ms latency) with infinite scalability via sharding.
Fair Timestamps: Tashi Consensus assigns a verifiable and deterministic timestamp to every action in the network after ordering, guaranteeing that events occur in a provably fair sequence. This mechanism provides an extra layer of trust by making every action's chronological order transparent and verifiable.
Mathematical Finality: Tashi Consensus ensures that every recorded action is cryptographically final, making rollback exploits impossible, thus securing the network’s history and data for all participating nodes through single phase consensus.
Gasless Transactions: Tashi Consensus natively supports gasless transactions by shifting the cost of validation away from end users and onto the participating peers in the network. Rather than requiring users to pay fees, each peer contributes compute resources to validate and reach consensus on transactions. In this model, "gas" is effectively internalized by the network through peer coordination, not externalized via token fees. This design dramatically lowers the barrier to entry for users, enabling broader adoption and frictionless integration into consumer-grade applications while consuming just 0.02 Wh (watt-hour) per transaction.
The combination of DAG technology, fair and robust gossip, and voting mechanisms ensures that every transaction is processed fairly, quickly, and securely. This design particularly benefits applications requiring seamless, high-speed interactions (e.g., real-time gaming, financial transactions), while also ensuring wide-scale accessibility and environmental sustainability.
Game Developers leveraging the Tashi Network benefit from comprehensive network services specifically optimized to enhance the gaming experience:
Fair Play: Tashi's PlayerMeshes ensure impartial control over game events, effectively preventing cheating and manipulation by eliminating authoritative centralized control points.
PlayerMesh: Shifts real-time game logic execution from centralized blockchains or costly relays directly onto the player’s game logic using Tashi Consensus, significantly cutting down latency and operational costs.
Relay Services: Enhances network connectivity by allowing nodes unable to communicate directly within the PlayerMesh to leverage intermediary nodes that securely relay messages or data packets, ensuring continuous interaction even under challenging network conditions.
Persistence and Failover: Nodes dynamically assume responsibilities for tasks during unforeseen disruptions, offering seamless and resilient continuity of services, thereby preventing downtime and loss of data or game state.
Game Lobby Management: Tashi integrates specialized services tailored to optimize matchmaking, lobby maintenance, and player communications, fostering efficient coordination and interaction between players.
Peer-to-Peer Matchmaking: Leveraging decentralized architecture to enhance matchmaking efficiency, this service significantly reduces latency and improves user experience by minimizing physical distance between players and game servers.
Beyond gaming-specific use cases, Tashi provides a robust suite of general-purpose services applicable across various industries and verticals:
Proxy Services: Offers decentralized proxy functionality, enhancing security, privacy, and reliability for web browsing, data scraping, and secure communications.
Real-time Analytics: Provides decentralized and ultra-responsive analytics capabilities for monitoring and reacting to dynamic datasets in real-time, suitable for industries such as financial services, e-commerce, and IoT applications.
Decentralized Messaging (FoxMQ): A powerful messaging solution leveraging Tashi's consensus protocol to deliver reliable, low-latency, and fair message ordering, ideal for applications ranging from IoT device communication to mission-critical distributed database management.
As adoption and user demand increase, Tashi will continue to expand its service offerings, enabling developers across sectors to easily integrate highly performant, decentralized infrastructure into their products and services.
The Tashi Consensus interfaces with devices connected to the network, employing two types of network nodes with unique capabilities: Orchestration Nodes and Resource Nodes. Tashi is designed to scale to millions of nodes, uniquely enabling a variety of new service offerings on the network.
Tashi Nodes are made possible by MeshNet, the underlying communication layer of the Tashi Network, responsible for packet transport, discovery of network peers, handshaking and internal routing. More simply, MeshNet acts as the peer-to-peer fabric by which network participants communicate with one another, reducing reliance on outside systems to transmit information within the network.
Orchestration Nodes provide the internal management and audit system of the Tashi Network, performing services such as matching resource nodes with jobs, monitoring job completion and resource node performance, managing the job queue, and maintaining a network ledger, providing a bridge between end-users and the edge-compute (resource nodes) who perform the requested services.
Resource Nodes work to fulfill job assignments distributed by orchestration nodes such as Matchmaking, Web Scraping, Proxy and Failover. In general, resource nodes are selected for jobs based on their past network performance and their fitness to complete the requested task, accounting for the nodes hardware, latency and regional proximity. The Tashi team plans to scale to 2.5M resource nodes by 2029 to fully support a wide range of service offerings and use cases at network maturity, leveraging excess node supply to enable new services and onboard new consumer types.
Both Resource Nodes and Orchestrator Nodes are compensated for successful completion of services completed in both Reward Points, backed 1:1 with network revenue as well as $TASHI token emissions, native to the Solana blockchain.
The Tashi team is currently providing a closed alpha testing environment to select game developers interested in leveraging Tashi in future development.
During Tashi Alphanet, prospective infrastructure providers will be invited to onboard nodes and familiarize themselves with installation, maintenance and monitoring of network devices. During this phase, Tashi will debut the initial public launch of Tashi Consensus, and begin compatibility expansion to additional programming languages and frameworks.
Once Alphanet maintains a consistent uptime of 60 days, Tashi will open its Incentivized Testnet, in which 5% of the total $TASHI token supply will be distributed to testnet participants for their contributions leading into Mainnet launch. This phase will also be used to implement AI driven anti-gaming mechanisms.
At Mainnet launch, the Tashi network will move to a production-ready state, marking the genesis of paid services and token emissions in the Tashi ecosystem. Node operators post mainnet will be required to stake $TASHI to onboard their device to the network, and earn their share of token emissions and protocol revenue.
Amar is responsible for business development, partnerships, and fundraising. He drives go-to-market strategy and works with game studios and AI companies to integrate Tashi’s technology. Amar joins Tashi with 15+ years of experience scaling startups and tech ventures, previous leadership roles at firms like Grab & Uber, and a track record in managing revenue streams exceeding $100M.
Ken leads the technical architecture and consensus development for Tashi. He designed and implemented PlayerMesh Consensus (ABFT) for decentralized multiplayer gaming and oversees the Service Mesh DePIN infrastructure for real-time AI, messaging, and gaming applications. Ken’s background is extensive with previous experiences at firms such as Hedera Hashgraph (Lead Developer Advocate), and co-founding experience at LaunchBadge.
Jay leads capital markets strategy and institutional fundraising for Tashi’s DePIN infrastructure, responsible for tokenomics, network incentives, and corporate partnerships. Jay brings 30+ years of capital markets and venture investing experience paired with entrepreneurial experience co-founding both SparkLabs and Equilibrium to the Tashi team.
Austin joins Tashi with 15+ years of full-stack engineering experience, helping to accelerate Tashi’s development cycles and simplify user experiences network-wide.
Tashi aims to redefine the edge-compute landscape by introducing a decentralized, fair, and cost-effective distributed infrastructure. Our goal is to create an open and trustless ecosystem that empowers both users and developers.
Gaming is just the beginning. By solving the challenging requirements of real-time multiplayer games, Tashi is building infrastructure that can extend to telecom, AI, IoT, and beyond—creating a sustainable economic ecosystem where developers, users, and node operators all benefit.
As the network launch approaches, participation opportunities will emerge through:
Early node operator programs
Incentivized testnet participation
Community engagement on Discord, X, and GitHub
Join the revolution in edge computing and be part of the infrastructure powering the future of multiplayer gaming, AI, and beyond.
