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Tính toán phi tập trung đang lặng lẽ trở thành hạ tầng cốt lõi của Web3.
Fluence $FLT nổi bật nhờ khả năng cho phép tính toán ngang hàng không cần phụ thuộc vào các nhà cung cấp đám mây tập trung. Khi DePIN phát triển, hạ tầng lớp thực thi như thế này cảm giác ít thử nghiệm hơn và cần thiết hơn.
Akash Network $AKT tiếp tục chứng minh rằng các thị trường đám mây phi tập trung có thể cạnh tranh về chi phí và tính linh hoạt, đặc biệt cho AI và các khối lượng công việc hiệu suất cao.
Filecoin $FIL cho thấy cách lưu trữ phi tập trung trở nên có giá trị hơn khi được kết hợp với tính toán thực và khả năng sẵn có của dữ liệu, hình thành một lớp hạ tầng Web3 đầy đủ.
Akash Network $AKT tiếp tục chứng minh rằng các thị trường đám mây phi tập trung có thể cạnh tranh về chi phí và tính linh hoạt, đặc biệt cho AI và các khối lượng công việc hiệu suất cao.
Filecoin $FIL cho thấy cách lưu trữ phi tập trung trở nên có giá trị hơn khi được kết hợp với tính toán thực và khả năng sẵn có của dữ liệu, hình thành một lớp hạ tầng Web3 đầy đủ.
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Tính Toán Phi Tập Trung Đang Âm Thầm Trở Thành Hạ Tầng Cốt Lõi.
Tính toán phi tập trung đang âm thầm trở thành một trong những nguyên tắc cơ bản mạnh mẽ nhất của Web3 khi AI và các khối lượng công việc thực tế yêu cầu hạ tầng linh hoạt.
Fluence ($FLT)
Fluence tập trung vào đám mây phi tập trung và tính toán cho các ứng dụng thực tế, từ máy chủ vật lý đến máy chủ ảo và GPU. Nó phù hợp tự nhiên vào câu chuyện DePIN bằng cách biến đổi tính toán toàn cầu không sử dụng thành hạ tầng có thể xác minh, trên chuỗi.
Akash $AKT
Akash giải quyết các chợ đám mây không cần quyền hạn, cho thấy cách các nhà cung cấp phi tập trung có thể cạnh tranh với các nhà cung cấp truyền thống về chi phí và tính minh bạch.
Fluence ($FLT)
Fluence tập trung vào đám mây phi tập trung và tính toán cho các ứng dụng thực tế, từ máy chủ vật lý đến máy chủ ảo và GPU. Nó phù hợp tự nhiên vào câu chuyện DePIN bằng cách biến đổi tính toán toàn cầu không sử dụng thành hạ tầng có thể xác minh, trên chuỗi.
Akash $AKT
Akash giải quyết các chợ đám mây không cần quyền hạn, cho thấy cách các nhà cung cấp phi tập trung có thể cạnh tranh với các nhà cung cấp truyền thống về chi phí và tính minh bạch.
Dịch
Why Web3 Is Quietly Shifting Toward Cloudless Infrastructure?
Lately, it feels like the Web3 narrative is quietly shifting from apps back to infrastructure.
AI, DePIN, and real onchain workloads are scaling fast ,but they still depend heavily on centralized cloud providers. That dependency is becoming the weakest link.
Projects like $FLT (Fluence) stand out here. Cloudless, decentralized compute isn’t just a philosophy, it’s becoming a necessity as AI inference, GPU access, and uptime guarantees turn into bottlenecks. Verifiable execution and censorship-resistant compute will matter more as real demand comes onchain.
You can see similar infrastructure momentum across the ecosystem:
$PEAQ focusing on machine economies and DePIN coordination$RNDR addressing GPU supply for AI workloads$FIL continuing to anchor decentralized storage at scale
What’s interesting is how these pieces complement each other rather than compete. Storage, compute, coordination, and hardware access are all converging into a more resilient Web3 stack.
The next phase won’t be driven by hype cycles, it’ll be driven by whether infrastructure can actually handle real usage, real users, and real revenue. That’s where the long-term signal is starting to show.
#DePIN #Web3Infrastructure #DecentralizedCompute #AI #FLT
AI, DePIN, and real onchain workloads are scaling fast ,but they still depend heavily on centralized cloud providers. That dependency is becoming the weakest link.
Projects like $FLT (Fluence) stand out here. Cloudless, decentralized compute isn’t just a philosophy, it’s becoming a necessity as AI inference, GPU access, and uptime guarantees turn into bottlenecks. Verifiable execution and censorship-resistant compute will matter more as real demand comes onchain.
You can see similar infrastructure momentum across the ecosystem:
$PEAQ focusing on machine economies and DePIN coordination$RNDR addressing GPU supply for AI workloads$FIL continuing to anchor decentralized storage at scale
What’s interesting is how these pieces complement each other rather than compete. Storage, compute, coordination, and hardware access are all converging into a more resilient Web3 stack.
The next phase won’t be driven by hype cycles, it’ll be driven by whether infrastructure can actually handle real usage, real users, and real revenue. That’s where the long-term signal is starting to show.
#DePIN #Web3Infrastructure #DecentralizedCompute #AI #FLT
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Fluence so với Đống Tính Toán Phi Tập Trung:
Tại sao Tính Toán Không Máy Chủ, P2P Là Bước Nhảy Tiếp Theo
Fluence cho phép tính toán hoàn toàn không máy chủ, kháng kiểm duyệt, peer-to-peer, không có đám mây tập trung, không trung gian, không bị khóa chặt.
Được xây dựng cho các nhà phát triển muốn sở hữu thực sự, thực thi xác định và thị trường tính toán mở, không xin phép.
Cách mà nó so sánh
1️⃣ Render (RNDR)– Kết xuất GPU Tuyệt vời cho kết xuất 3D/AI, nhưng rất chuyên biệt.
➡️ Fluence mở rộng hơn, tính toán đa mục đích, không giới hạn ở GPU.
2️⃣ Akash (AKT)– Thị trường đám mây phi tập trung
AKT cung cấp máy chủ phi tập trung nhưng vẫn dựa vào các mô hình VM giống như đám mây.
➡️ Fluence nhẹ hơn & mô-đun, sử dụng dịch vụ WASM mà không có máy chủ nào — thực thi hoàn toàn peer-to-peer.
3️⃣ Fetch.ai (FET)– Đại lý AI
Mạnh mẽ cho tự động hóa dựa trên đại lý.
➡️ Fluence bổ sung cho AI bằng cách cung cấp cho các đại lý một lớp thực thi không tin cậy mà không dựa vào tính toán tập trung.
Tại sao Fluence nổi bật
✔ Thực sự không máy chủ, không có container, không có VM
✔ Thực thi có thể xác minh thông qua các bằng chứng mật mã
✔ Thị trường mở cho tính toán, hoàn toàn không xin phép
✔ Tối ưu hóa cho AI, DePIN và các ứng dụng nặng về dữ liệu
✔ Kháng kiểm duyệt theo thiết kế
Fluence không chỉ là một dự án tính toán phi tập trung khác, nó đang xây dựng nền tảng cho thế hệ tiếp theo của AI, DePIN & các ứng dụng web mở.
$AKT $FET $RENDER
#BinanceHODLerAT #BTCRebound90kNext? #BTCRebound90kNext? #WriteToEarnUpgrade
Tại sao Tính Toán Không Máy Chủ, P2P Là Bước Nhảy Tiếp Theo
Fluence cho phép tính toán hoàn toàn không máy chủ, kháng kiểm duyệt, peer-to-peer, không có đám mây tập trung, không trung gian, không bị khóa chặt.
Được xây dựng cho các nhà phát triển muốn sở hữu thực sự, thực thi xác định và thị trường tính toán mở, không xin phép.
Cách mà nó so sánh
1️⃣ Render (RNDR)– Kết xuất GPU Tuyệt vời cho kết xuất 3D/AI, nhưng rất chuyên biệt.
➡️ Fluence mở rộng hơn, tính toán đa mục đích, không giới hạn ở GPU.
2️⃣ Akash (AKT)– Thị trường đám mây phi tập trung
AKT cung cấp máy chủ phi tập trung nhưng vẫn dựa vào các mô hình VM giống như đám mây.
➡️ Fluence nhẹ hơn & mô-đun, sử dụng dịch vụ WASM mà không có máy chủ nào — thực thi hoàn toàn peer-to-peer.
3️⃣ Fetch.ai (FET)– Đại lý AI
Mạnh mẽ cho tự động hóa dựa trên đại lý.
➡️ Fluence bổ sung cho AI bằng cách cung cấp cho các đại lý một lớp thực thi không tin cậy mà không dựa vào tính toán tập trung.
Tại sao Fluence nổi bật
✔ Thực sự không máy chủ, không có container, không có VM
✔ Thực thi có thể xác minh thông qua các bằng chứng mật mã
✔ Thị trường mở cho tính toán, hoàn toàn không xin phép
✔ Tối ưu hóa cho AI, DePIN và các ứng dụng nặng về dữ liệu
✔ Kháng kiểm duyệt theo thiết kế
Fluence không chỉ là một dự án tính toán phi tập trung khác, nó đang xây dựng nền tảng cho thế hệ tiếp theo của AI, DePIN & các ứng dụng web mở.
$AKT $FET $RENDER
#BinanceHODLerAT #BTCRebound90kNext? #BTCRebound90kNext? #WriteToEarnUpgrade
Dịch
When Infrastructure Becomes the Real Alpha
Web3 isn’t just tokens anymore, it’s turning into a full stack of open infrastructure.Each protocol is taking on one layer of the internet.Here’s how four key players $FLT, $TAO , $RNDR,$FIL , are quietly redefining how the web thinks, stores, and computes.
$FLT (Fluence) The Cloudless Compute Layer
Think of Fluence as the AWS of Web3 without the Amazon.
It runs compute workloads (AI, dApps, analytics) across decentralized providers, at predictable costs, with zero intermediaries.
$FLT powers staking for providers, a stablecoin for predictable billing, and tokenized capacity,making compute both verifiable and accessible.Fluence is where AI and DePIN actually run.
2. $TAO (Bittensor) The Decentralized Brain
If Fluence is the compute engine, TAO is the intelligence running on top.
It creates a marketplace for AI models , where the best outputs earn rewards and the network learns collectively.
Together with Fluence, its mind meets machine, TAO supplies the logic, Fluence supplies the power.
3. $RNDR (Render) The GPU Economy
Render was the first to prove that GPU power can be decentralized.
It connects artists and 3D creators with idle GPU nodes.
Fluence extends that model , from rendering to AI inference, data processing, and backend compute, scaling GPU accessibility beyond visuals into all compute-heavy workloads.
4. $FIL (Filecoin) The Data Backbone
Fliecoin is where decentralized data lives.
But stored data needs compute to become useful and that’s where Fluence completes the circuit.
Together, FIL+ $FLT form the decentralized “storage + compute” combo the open web needs.
The Bigger Picture
If Web2 had AWS, Google Cloud, and Azure,
Web3’s foundation looks like this:
TAO→ Intelligenc
RENDER→ GPU Power
FIL→ Storage
$FLT → Compute + Coordination
One provides thought, one provides memory, one provides muscle , and Fluence brings them together into a self-running, decentralized internet stack
Web3 isn’t just tokens anymore, it’s turning into a full stack of open infrastructure.Each protocol is taking on one layer of the internet.Here’s how four key players $FLT, $TAO , $RNDR,$FIL , are quietly redefining how the web thinks, stores, and computes.
$FLT (Fluence) The Cloudless Compute Layer
Think of Fluence as the AWS of Web3 without the Amazon.
It runs compute workloads (AI, dApps, analytics) across decentralized providers, at predictable costs, with zero intermediaries.
$FLT powers staking for providers, a stablecoin for predictable billing, and tokenized capacity,making compute both verifiable and accessible.Fluence is where AI and DePIN actually run.
2. $TAO (Bittensor) The Decentralized Brain
If Fluence is the compute engine, TAO is the intelligence running on top.
It creates a marketplace for AI models , where the best outputs earn rewards and the network learns collectively.
Together with Fluence, its mind meets machine, TAO supplies the logic, Fluence supplies the power.
3. $RNDR (Render) The GPU Economy
Render was the first to prove that GPU power can be decentralized.
It connects artists and 3D creators with idle GPU nodes.
Fluence extends that model , from rendering to AI inference, data processing, and backend compute, scaling GPU accessibility beyond visuals into all compute-heavy workloads.
4. $FIL (Filecoin) The Data Backbone
Fliecoin is where decentralized data lives.
But stored data needs compute to become useful and that’s where Fluence completes the circuit.
Together, FIL+ $FLT form the decentralized “storage + compute” combo the open web needs.
The Bigger Picture
If Web2 had AWS, Google Cloud, and Azure,
Web3’s foundation looks like this:
TAO→ Intelligenc
RENDER→ GPU Power
FIL→ Storage
$FLT → Compute + Coordination
One provides thought, one provides memory, one provides muscle , and Fluence brings them together into a self-running, decentralized internet stack
Dịch
Fluence (FLT) The Next-Gen Decentralized Compute Layeru
Fluence enables fully serverless, censorship-resistant, peer-to-peer compute ,no centralized cloud, no intermediaries, no lock-in.
Built for developers who want real ownership, deterministic execution, and open, permissionless compute markets.
How it compares 👇
1️⃣ Render (RNDR)– GPU renderingGreat for 3D/AI rendering, but highly specialized.
➡️ Fluence goes broader ,general-purpose compute, not limited to GPUs.
2️⃣ Akash (AKT)– Decentralized cloud marketplace
AKT offers decentralized servers but still relies on cloud-like VM models.
➡️ Fluence is more lightweight & modular, using WASM services with no servers at all — pure peer-to-peer execution.
3️⃣ Fetch.ai (FET)– AI agents
Strong for agent-based automation.
➡️ Fluence complements AI by giving agents a trustless execution layer that doesn’t rely on centralized compute.
Why Fluence Stands Out
✔ Truly serverless , no containers, no VMs
✔ Verifiable execution through cryptographic proofs
✔ Open marketplace for compute, fully permissionless
✔ Optimized for AI, DePIN, and data-heavy apps
✔ Censorship-resistant by design
Fluence isn’t just another decentralized compute project ,it’s building the backbone for the next generation of AI, DePIN & open web apps.
$AKT $FET $RNDR
#BinanceHODLerAT #BTCRebound90kNext? #BTCRebound90kNext? #WriteToEarnUpgrade
Built for developers who want real ownership, deterministic execution, and open, permissionless compute markets.
How it compares 👇
1️⃣ Render (RNDR)– GPU renderingGreat for 3D/AI rendering, but highly specialized.
➡️ Fluence goes broader ,general-purpose compute, not limited to GPUs.
2️⃣ Akash (AKT)– Decentralized cloud marketplace
AKT offers decentralized servers but still relies on cloud-like VM models.
➡️ Fluence is more lightweight & modular, using WASM services with no servers at all — pure peer-to-peer execution.
3️⃣ Fetch.ai (FET)– AI agents
Strong for agent-based automation.
➡️ Fluence complements AI by giving agents a trustless execution layer that doesn’t rely on centralized compute.
Why Fluence Stands Out
✔ Truly serverless , no containers, no VMs
✔ Verifiable execution through cryptographic proofs
✔ Open marketplace for compute, fully permissionless
✔ Optimized for AI, DePIN, and data-heavy apps
✔ Censorship-resistant by design
Fluence isn’t just another decentralized compute project ,it’s building the backbone for the next generation of AI, DePIN & open web apps.
$AKT $FET $RNDR
#BinanceHODLerAT #BTCRebound90kNext? #BTCRebound90kNext? #WriteToEarnUpgrade
Dịch
When Infrastructure Becomes Real Alpha.
Web3 isn’t just tokens anymore, it’s turning into a full stack of open infrastructure.Each protocol is taking on one layer of the internet.Here’s how four key players $FLT, $TAO , $RNDR, $FIL , are quietly redefining how the web thinks, stores, and computes.
1. $FLT (Fluence) The Cloudless Compute Layer
Think of Fluence as the AWS of Web3 without the Amazon.
It runs compute workloads (AI, dApps, analytics) across decentralized providers, at predictable costs, with zero intermediaries.
$FLT powers staking for providers, a stablecoin for predictable billing, and tokenized capacity,making compute both verifiable and accessible.Fluence is where AI and DePIN actually run.
2. $TAO (Bittensor) The Decentralized Brain
If Fluence is the compute engine, TAO is the intelligence running on top.
It creates a marketplace for AI models , where the best outputs earn rewards and the network learns collectively.
Together with Fluence, its mind meets machine, TAO supplies the logic, Fluence supplies the power.
3. $RNDR (Render) The GPU Economy
$RNDR was the first to prove that GPU power can be decentralized.
It connects artists and 3D creators with idle GPU nodes.
Fluence extends that model , from rendering to AI inference, data processing, and backend compute, scaling GPU accessibility beyond visuals into all compute-heavy workloads.
4. $FIL (Filecoin) The Data Backbone
$FIL is where decentralized data lives.
But stored data needs compute to become useful and that’s where Fluence completes the circuit.
Together, $FIL + $FLT form the decentralized “storage + compute” combo the open web needs.
The Bigger Picture
If Web2 had AWS, Google Cloud, and Azure,
Web3’s foundation looks like this:
$TAO → Intelligence
$RNDR → GPU Power
$FIL → Storage
$FLT → Compute + Coordination
One provides thought, one provides memory, one provides muscle , and Fluence brings them together into a self-running, decentralized internet stack.
1. $FLT (Fluence) The Cloudless Compute Layer
Think of Fluence as the AWS of Web3 without the Amazon.
It runs compute workloads (AI, dApps, analytics) across decentralized providers, at predictable costs, with zero intermediaries.
$FLT powers staking for providers, a stablecoin for predictable billing, and tokenized capacity,making compute both verifiable and accessible.Fluence is where AI and DePIN actually run.
2. $TAO (Bittensor) The Decentralized Brain
If Fluence is the compute engine, TAO is the intelligence running on top.
It creates a marketplace for AI models , where the best outputs earn rewards and the network learns collectively.
Together with Fluence, its mind meets machine, TAO supplies the logic, Fluence supplies the power.
3. $RNDR (Render) The GPU Economy
$RNDR was the first to prove that GPU power can be decentralized.
It connects artists and 3D creators with idle GPU nodes.
Fluence extends that model , from rendering to AI inference, data processing, and backend compute, scaling GPU accessibility beyond visuals into all compute-heavy workloads.
4. $FIL (Filecoin) The Data Backbone
$FIL is where decentralized data lives.
But stored data needs compute to become useful and that’s where Fluence completes the circuit.
Together, $FIL + $FLT form the decentralized “storage + compute” combo the open web needs.
The Bigger Picture
If Web2 had AWS, Google Cloud, and Azure,
Web3’s foundation looks like this:
$TAO → Intelligence
$RNDR → GPU Power
$FIL → Storage
$FLT → Compute + Coordination
One provides thought, one provides memory, one provides muscle , and Fluence brings them together into a self-running, decentralized internet stack.
Dịch
The New Cloud Wars: Who Wins the Decentralized Compute Race?
The future of AI and Web3 depends on one thing, Compute.And today, four projects are shaping that decentralized future.
Fluence $FLT
Fluence is redefining compute as a public good, not a corporate service
It’s a fully decentralized network where anyone can deploy workloads on nodes across the world, no middlemen, no gatekeepers.
Built for developers who want open, verifiable, and censorship resistant compute.Targets both AI and Web3 apps with modular execution and WASM-based containers.Professional providers + transparent pricing = true scalability.
Fluence is what AWS would’ve been if it were community-owned.
Akash Network $AKT
Akash acts as the “Airbnb of compute.”
It lets anyone rent unused GPU or CPU power at market-driven prices ,perfect for AI inference and DePIN workloads.
Open marketplace for compute resourcesFocused on GPU demand surgeGreat for cost-effective deployments
Cysic $CYS
Cysic powers ComputeFi ,where computation itself becomes a tradeable asset.
It’s bridging hardware and zero-knowledge computation with GPU-accelerated proving.
Hardware-anchored economy for ZK and AI workloadsDecentralized GPU layer for proof verificationFueling the next generation of privacy-focused compute
Golem $GLM
The pioneer of decentralized compute.
Golem lets anyone share their idle power for rendering, AI, or data processing tasks.
One of the earliest distributed compute networksGreat example of grassroots infrastructureFocused on individual participation
Why Fluence Stands Apart:
While others focus on renting compute, Fluence focuses on running it.
Its architecture enables real execution, coordination, and verifiable performance ,the missing link between decentralized storage, data, and AI
The result?
An open, efficient, censorship resistant alternative to the cloud ,owned by its users, powered by open protocols.
Fluence $FLT
Fluence is redefining compute as a public good, not a corporate service
It’s a fully decentralized network where anyone can deploy workloads on nodes across the world, no middlemen, no gatekeepers.
Built for developers who want open, verifiable, and censorship resistant compute.Targets both AI and Web3 apps with modular execution and WASM-based containers.Professional providers + transparent pricing = true scalability.
Fluence is what AWS would’ve been if it were community-owned.
Akash Network $AKT
Akash acts as the “Airbnb of compute.”
It lets anyone rent unused GPU or CPU power at market-driven prices ,perfect for AI inference and DePIN workloads.
Open marketplace for compute resourcesFocused on GPU demand surgeGreat for cost-effective deployments
Cysic $CYS
Cysic powers ComputeFi ,where computation itself becomes a tradeable asset.
It’s bridging hardware and zero-knowledge computation with GPU-accelerated proving.
Hardware-anchored economy for ZK and AI workloadsDecentralized GPU layer for proof verificationFueling the next generation of privacy-focused compute
Golem $GLM
The pioneer of decentralized compute.
Golem lets anyone share their idle power for rendering, AI, or data processing tasks.
One of the earliest distributed compute networksGreat example of grassroots infrastructureFocused on individual participation
Why Fluence Stands Apart:
While others focus on renting compute, Fluence focuses on running it.
Its architecture enables real execution, coordination, and verifiable performance ,the missing link between decentralized storage, data, and AI
The result?
An open, efficient, censorship resistant alternative to the cloud ,owned by its users, powered by open protocols.
Dịch
Compute Infrastructure Showdown: $FLT vs $AKT vs $CYS vs $GLM
The decentralized compute era is gaining serious force , here’s how four major Web3 projects shape the infrastructure stack:
$FLT (Fluence)
Fluence is building a cloudless compute engine for AI, DePIN, and decentralized apps. It enables:
GPU & CPU workloads across decentralized nodesPredictable billing via tokenized capacity and stakingProgrammable compute that’s verifiable & resilient.
In short: Fluence sets the execution layer for open-infrastructure.
$AKT (Akash Network)
Akash is a decentralized cloud marketplace.
Rent compute resources peer-to-peer (e.g. containers / VMs)Open alternative to AWS or Google CloudGreat for devs wanting flexible deployments without central vendor lock-in.
$CYS (Cysic)ComputeFi in motion: Cysic turns hardware, GPUs & ASICs into tokenized, tradable assets. It’s carving out the future of verifiable compute where the compute work itself becomes an economic primitive.$GLM (Golem Network Token)Golem’s network enables users to share or rent idle compute resources.• Providers earn GLM for contributing power to the network .• Requestors pay GLM to run tasks like rendering, AI or scientific workloads It’s one of the longer-running decentralized compute marketplaces.
Why This Comparison Matters
$AKT opens the compute marketplace$CYS tokenizes compute at the hardware + proof layer$GLM is a realized peer-to-peer compute marketplace$FLT (Fluence) powers the workloads that need reliability, scalability, and programmable billing — turning the vision of ComputeFi into infrastructure you can build on today.
$FLT (Fluence)
Fluence is building a cloudless compute engine for AI, DePIN, and decentralized apps. It enables:
GPU & CPU workloads across decentralized nodesPredictable billing via tokenized capacity and stakingProgrammable compute that’s verifiable & resilient.
In short: Fluence sets the execution layer for open-infrastructure.
$AKT (Akash Network)
Akash is a decentralized cloud marketplace.
Rent compute resources peer-to-peer (e.g. containers / VMs)Open alternative to AWS or Google CloudGreat for devs wanting flexible deployments without central vendor lock-in.
$CYS (Cysic)ComputeFi in motion: Cysic turns hardware, GPUs & ASICs into tokenized, tradable assets. It’s carving out the future of verifiable compute where the compute work itself becomes an economic primitive.$GLM (Golem Network Token)Golem’s network enables users to share or rent idle compute resources.• Providers earn GLM for contributing power to the network .• Requestors pay GLM to run tasks like rendering, AI or scientific workloads It’s one of the longer-running decentralized compute marketplaces.
Why This Comparison Matters
$AKT opens the compute marketplace$CYS tokenizes compute at the hardware + proof layer$GLM is a realized peer-to-peer compute marketplace$FLT (Fluence) powers the workloads that need reliability, scalability, and programmable billing — turning the vision of ComputeFi into infrastructure you can build on today.
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Tính toán được cấu thành Sự trỗi dậy của $FLT, $AKT, $CYS & $RLC.
Cơ sở hạ tầng phi tập trung đang được định nghĩa lại, không chỉ bởi tính toán không cần đám mây, mà còn bởi việc thực thi ưu tiên quyền riêng tư và phần cứng có thể lập trình. Hãy so sánh cách mà bốn dự án lớn giải quyết từng phần của ngăn xếp mới này:
$FLT (Fluence) Động cơ thực thi.
Fluence cung cấp tính toán như một mạng lưới không cần giấy phép, có thể xác minh. Nó cho phép AI, DePIN và khối lượng công việc dApp hoạt động trên cơ sở hạ tầng phi tập trung, không có trung gian giống như AWS. Token FLT của nó bảo vệ tài nguyên, ổn định thanh toán và giúp các nhà phát triển triển khai khối lượng công việc với sự tin cậy và hiệu quả chi phí.
$FLT (Fluence) Động cơ thực thi.
Fluence cung cấp tính toán như một mạng lưới không cần giấy phép, có thể xác minh. Nó cho phép AI, DePIN và khối lượng công việc dApp hoạt động trên cơ sở hạ tầng phi tập trung, không có trung gian giống như AWS. Token FLT của nó bảo vệ tài nguyên, ổn định thanh toán và giúp các nhà phát triển triển khai khối lượng công việc với sự tin cậy và hiệu quả chi phí.
Dịch
When Infrastructure Becomes the Real Alpha
Web3 isn’t just tokens anymore, it’s turning into a full stack of open infrastructure.Each protocol is taking on one layer of the internet.Here’s how four key players $FLT, $TAO, $RNDR, $FIL , are quietly redefining how the web thinks, stores, and computes.
$FLT (Fluence) The Cloudless Compute Layer
Think of Fluence as the AWS of Web3 without the Amazon.
It runs compute workloads (AI, dApps, analytics) across decentralized providers, at predictable costs, with zero intermediaries.
$FLT powers staking for providers, a stablecoin for predictable billing, and tokenized capacity,making compute both verifiable and accessible.Fluence is where AI and DePIN actually run.
2. $TAO (Bittensor) The Decentralized Brain
If Fluence is the compute engine, TAO is the intelligence running on top.
It creates a marketplace for AI models , where the best outputs earn rewards and the network learns collectively.
Together with Fluence, its mind meets machine, TAO supplies the logic, Fluence supplies the power.
3. $RNDR (Render) The GPU Economy
$RNDR was the first to prove that GPU power can be decentralized.
It connects artists and 3D creators with idle GPU nodes.
Fluence extends that model , from rendering to AI inference, data processing, and backend compute, scaling GPU accessibility beyond visuals into all compute-heavy workloads.
4. $FIL (Filecoin) The Data Backbone
$FIL is where decentralized data lives.
But stored data needs compute to become useful and that’s where Fluence completes the circuit.
Together, $FIL + $FLT form the decentralized “storage + compute” combo the open web needs.
The Bigger Picture
If Web2 had AWS, Google Cloud, and Azure,
Web3’s foundation looks like this:
$TAO → Intelligence$RNDR → GPU Power$FIL → Storage$FLT → Compute + CoordinationOne provides thought, one provides memory, one provides muscle , and Fluence brings them together into a self-running, decentralized internet stack.
$FLT (Fluence) The Cloudless Compute Layer
Think of Fluence as the AWS of Web3 without the Amazon.
It runs compute workloads (AI, dApps, analytics) across decentralized providers, at predictable costs, with zero intermediaries.
$FLT powers staking for providers, a stablecoin for predictable billing, and tokenized capacity,making compute both verifiable and accessible.Fluence is where AI and DePIN actually run.
2. $TAO (Bittensor) The Decentralized Brain
If Fluence is the compute engine, TAO is the intelligence running on top.
It creates a marketplace for AI models , where the best outputs earn rewards and the network learns collectively.
Together with Fluence, its mind meets machine, TAO supplies the logic, Fluence supplies the power.
3. $RNDR (Render) The GPU Economy
$RNDR was the first to prove that GPU power can be decentralized.
It connects artists and 3D creators with idle GPU nodes.
Fluence extends that model , from rendering to AI inference, data processing, and backend compute, scaling GPU accessibility beyond visuals into all compute-heavy workloads.
4. $FIL (Filecoin) The Data Backbone
$FIL is where decentralized data lives.
But stored data needs compute to become useful and that’s where Fluence completes the circuit.
Together, $FIL + $FLT form the decentralized “storage + compute” combo the open web needs.
The Bigger Picture
If Web2 had AWS, Google Cloud, and Azure,
Web3’s foundation looks like this:
$TAO → Intelligence$RNDR → GPU Power$FIL → Storage$FLT → Compute + CoordinationOne provides thought, one provides memory, one provides muscle , and Fluence brings them together into a self-running, decentralized internet stack.
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