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Tongrun
349 Posts

Tongrun

Report
Block User
Joining the Movement & Ecosystem Building.
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153 Followers
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Tongrun
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When traditional data centers must be built near the Arctic Circle or deplete local freshwater resources to cope with cooling costs that consume 40% of their power, Filecoin demonstrates another possibility through its DePIN physical architecture.
When traditional data centers must be built near the Arctic Circle or deplete local freshwater resources to cope with cooling costs that consume 40% of their power, Filecoin demonstrates another possibility through its DePIN physical architecture.
Tongrun
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The best cooling system is one you don’t need at all. Filecoin’s distributed physical architecture naturally decouples cooling demand
According to McKinsey’s own estimate, 40% of a data center’s total electricity consumption goes solely to cooling, on top of the power consumed by the servers themselves.
Filecoin’s distributed storage has never been concentrated tightly enough at a single site to require that kind of cooling load.
Using 40% of electricity just to “blow or pump away the heat generated by servers” is undoubtedly a massive physical loss and waste in the AI era, when energy is extremely scarce.
1. The “Urban Heat Island Effect” and Cooling Trap of Centralized Data Centers
Why do traditional data centers require such enormous cooling loads?
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Verified
Filecoin is already running—no need to wait in line for new fabs to be built SK hynix has approved about $38.1 billion to build two new memory fabs. The funding is in place, but the chips are still a long way off: the earliest cleanroom at its Cheongju NAND fab is scheduled for December 2028, while its Yongin DRAM/HBM fab won’t be ready until June 2029. TrendForce still expects memory prices to keep rising through 2027. The new capacity addresses the extremely expensive memory sitting next to GPUs. But AI is piling up plenty of other stuff too: training datasets, checkpoints, logs, agent context—and not all of it needs to wait for a 2028 cleanroom. Filecoin is running today. Capacity is already deployed across a global storage network, with content that’s addressable and verifiable. While the new fabs are still on the drawing board and construction schedule, the network is ready to handle data that shouldn’t be held up by a chip shortage. That $38.1 billion is buying silicon for two or three years from now. Data that needs to be stored today can’t wait for that timeline.
Filecoin is already running—no need to wait in line for new fabs to be built

SK hynix has approved about $38.1 billion to build two new memory fabs. The funding is in place, but the chips are still a long way off: the earliest cleanroom at its Cheongju NAND fab is scheduled for December 2028, while its Yongin DRAM/HBM fab won’t be ready until June 2029. TrendForce still expects memory prices to keep rising through 2027.

The new capacity addresses the extremely expensive memory sitting next to GPUs. But AI is piling up plenty of other stuff too: training datasets, checkpoints, logs, agent context—and not all of it needs to wait for a 2028 cleanroom.

Filecoin is running today. Capacity is already deployed across a global storage network, with content that’s addressable and verifiable. While the new fabs are still on the drawing board and construction schedule, the network is ready to handle data that shouldn’t be held up by a chip shortage.

That $38.1 billion is buying silicon for two or three years from now. Data that needs to be stored today can’t wait for that timeline.
Tongrun
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Filecoin storage capacity is already deployed and available—no need to build new factories or wait years for capacity to ramp up
60% was Samsung’s demand fulfillment rate for overall industry memory demand in early 2026, while the rate for server memory was below 50%, according to remarks in the company’s own Q1 earnings report, as buyers were already bidding for 2027 supply.
Filecoin capacity is already deployed today; there’s no need to wait until 2027.
Relevant statements from Samsung’s Q1 2026 earnings report
During the Q1 2026 earnings call, Samsung’s head of memory business stated clearly:
Inventory is extremely tight, and available supply is far below customer demand.
“Our demand fulfillment rate is now at a historic low.”
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The Filecoin network’s storage capacity is already deployed and available, provided by existing hardware contributed by storage providers worldwide. There’s no need to wait for new factories to be built or for capacity to ramp up over several years.
The Filecoin network’s storage capacity is already deployed and available, provided by existing hardware contributed by storage providers worldwide. There’s no need to wait for new factories to be built or for capacity to ramp up over several years.
Tongrun
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Filecoin storage capacity is already deployed and available—no need to build new factories or wait years for capacity to ramp up
60% was Samsung’s demand fulfillment rate for overall industry memory demand in early 2026, while the rate for server memory was below 50%, according to remarks in the company’s own Q1 earnings report, as buyers were already bidding for 2027 supply.
Filecoin capacity is already deployed today; there’s no need to wait until 2027.
Relevant statements from Samsung’s Q1 2026 earnings report
During the Q1 2026 earnings call, Samsung’s head of memory business stated clearly:
Inventory is extremely tight, and available supply is far below customer demand.
“Our demand fulfillment rate is now at a historic low.”
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Partly True
Filecoin storage capacity is already deployed and available—no need to build new factories or wait years for capacity to ramp up60% was Samsung’s demand fulfillment rate for overall industry memory demand in early 2026, while the rate for server memory was below 50%, according to remarks in the company’s own Q1 earnings report, as buyers were already bidding for 2027 supply. Filecoin capacity is already deployed today; there’s no need to wait until 2027. Relevant statements from Samsung’s Q1 2026 earnings report During the Q1 2026 earnings call, Samsung’s head of memory business stated clearly: Inventory is extremely tight, and available supply is far below customer demand. “Our demand fulfillment rate is now at a historic low.”

Filecoin storage capacity is already deployed and available—no need to build new factories or wait years for capacity to ramp up

60% was Samsung’s demand fulfillment rate for overall industry memory demand in early 2026, while the rate for server memory was below 50%, according to remarks in the company’s own Q1 earnings report, as buyers were already bidding for 2027 supply.
Filecoin capacity is already deployed today; there’s no need to wait until 2027.
Relevant statements from Samsung’s Q1 2026 earnings report
During the Q1 2026 earnings call, Samsung’s head of memory business stated clearly:
Inventory is extremely tight, and available supply is far below customer demand.
“Our demand fulfillment rate is now at a historic low.”
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Filecoin keeps data in place while computation moves around it.
Filecoin keeps data in place while computation moves around it.
Tongrun
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Filecoin’s “data stays put, computation moves” narrative for AI workloads (petabyte-scale training data, multimodal datasets, etc.)
13.2 days is how long it takes to transfer 1 PB of data using a dedicated 10 Gbps pipe at 70% effective throughput, with the GPU idle the entire time. Filecoin keeps the data in place while computation moves around it.

Transfer time calculation
1 PB = 1,000 TB = 8,000,000 Gb (in decimal units)
Dedicated 10 Gbps pipe, with 70% effective throughput → actual speed = 7 Gbps
Time = 8,000,000 Gb ÷ 7 Gbps ≈ 1,142,857 seconds
1,142,857 ÷ 86,400 ≈ 13.23 days
About 13.2 days. During that time, the GPU sits completely idle, just waiting for the data to move.
Filecoin’s core thesis
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Filecoin’s “data stays put, computation moves” narrative for AI workloads (petabyte-scale training data, multimodal datasets, etc.)13.2 days is how long it takes to transfer 1 PB of data using a dedicated 10 Gbps pipe at 70% effective throughput, with the GPU idle the entire time. Filecoin keeps the data in place while computation moves around it. Transfer time calculation 1 PB = 1,000 TB = 8,000,000 Gb (in decimal units) Dedicated 10 Gbps pipe, with 70% effective throughput → actual speed = 7 Gbps Time = 8,000,000 Gb ÷ 7 Gbps ≈ 1,142,857 seconds 1,142,857 ÷ 86,400 ≈ 13.23 days About 13.2 days. During that time, the GPU sits completely idle, just waiting for the data to move. Filecoin’s core thesis

Filecoin’s “data stays put, computation moves” narrative for AI workloads (petabyte-scale training data, multimodal datasets, etc.)

13.2 days is how long it takes to transfer 1 PB of data using a dedicated 10 Gbps pipe at 70% effective throughput, with the GPU idle the entire time. Filecoin keeps the data in place while computation moves around it.
Transfer time calculation
1 PB = 1,000 TB = 8,000,000 Gb (in decimal units)
Dedicated 10 Gbps pipe, with 70% effective throughput → actual speed = 7 Gbps
Time = 8,000,000 Gb ÷ 7 Gbps ≈ 1,142,857 seconds
1,142,857 ÷ 86,400 ≈ 13.23 days
About 13.2 days. During that time, the GPU sits completely idle, just waiting for the data to move.
Filecoin’s core thesis
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Filecoin storage capacity had already been deployed on the network well before this wave of price increases began. Procurement cycles and spot market premiums do not affect storage capacity already in operation. Because its data is “content-addressed” and verifiable, it is unaffected by quarterly price fluctuations in DRAM and hard drives.
Filecoin storage capacity had already been deployed on the network well before this wave of price increases began.

Procurement cycles and spot market premiums do not affect storage capacity already in operation. Because its data is “content-addressed” and verifiable, it is unaffected by quarterly price fluctuations in DRAM and hard drives.
Tongrun
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Filecoin’s storage capacity was already in place before prices surged

According to a Dell’Oro report, global data center IT semiconductor and component revenue grew 182% year over year in the second quarter of 2026. This surge was driven not just by increased shipments: the price per bit for DRAM and storage drives more than doubled compared with the previous year. As AI infrastructure pushes up the cost of memory and hard drives, server demand is adding further pressure to prices.

Amid supply shortages, vendors are repricing new chips and storage drives. Storage costs are already climbing sharply—even before model-training workloads are complete.

Consider it from another angle:

Filecoin’s storage capacity was deployed on the network well before this wave of price increases began. Procurement cycles and spot-market premiums have no impact on storage capacity that is already in use. Because its data is content-addressed and verifiable, it is unaffected by quarterly price fluctuations in DRAM and hard drives.

The doubling of component revenue reflects the cost of procuring new hardware, while storage resources already running on the network follow a very different timeline.
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Verified
Filecoin’s storage capacity was already in place before prices surged According to a Dell’Oro report, global data center IT semiconductor and component revenue grew 182% year over year in the second quarter of 2026. This surge was driven not just by increased shipments: the price per bit for DRAM and storage drives more than doubled compared with the previous year. As AI infrastructure pushes up the cost of memory and hard drives, server demand is adding further pressure to prices. Amid supply shortages, vendors are repricing new chips and storage drives. Storage costs are already climbing sharply—even before model-training workloads are complete. Consider it from another angle: Filecoin’s storage capacity was deployed on the network well before this wave of price increases began. Procurement cycles and spot-market premiums have no impact on storage capacity that is already in use. Because its data is content-addressed and verifiable, it is unaffected by quarterly price fluctuations in DRAM and hard drives. The doubling of component revenue reflects the cost of procuring new hardware, while storage resources already running on the network follow a very different timeline.
Filecoin’s storage capacity was already in place before prices surged

According to a Dell’Oro report, global data center IT semiconductor and component revenue grew 182% year over year in the second quarter of 2026. This surge was driven not just by increased shipments: the price per bit for DRAM and storage drives more than doubled compared with the previous year. As AI infrastructure pushes up the cost of memory and hard drives, server demand is adding further pressure to prices.

Amid supply shortages, vendors are repricing new chips and storage drives. Storage costs are already climbing sharply—even before model-training workloads are complete.

Consider it from another angle:

Filecoin’s storage capacity was deployed on the network well before this wave of price increases began. Procurement cycles and spot-market premiums have no impact on storage capacity that is already in use. Because its data is content-addressed and verifiable, it is unaffected by quarterly price fluctuations in DRAM and hard drives.

The doubling of component revenue reflects the cost of procuring new hardware, while storage resources already running on the network follow a very different timeline.
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Filecoin’s approach: Data stays where it is, and compute moves to the data (Compute-over-Data / data-centric computing). Data is already stored in a verifiable way across globally distributed storage providers (SPs). With FVM, Warm Storage, Retrieval Markets, and other tools, compute tasks—especially AI inference and preprocessing and retrieval augmentation for training—can be scheduled directly where the data resides. This reduces or even eliminates large-scale data transfers. This is exactly the “move compute, not data” narrative Filecoin has been advancing recently, particularly for AI workloads (petabyte-scale training data, multimodal datasets, and so on).
Filecoin’s approach:
Data stays where it is, and compute moves to the data (Compute-over-Data / data-centric computing).
Data is already stored in a verifiable way across globally distributed storage providers (SPs).
With FVM, Warm Storage, Retrieval Markets, and other tools, compute tasks—especially AI inference and preprocessing and retrieval augmentation for training—can be scheduled directly where the data resides.
This reduces or even eliminates large-scale data transfers.
This is exactly the “move compute, not data” narrative Filecoin has been advancing recently, particularly for AI workloads (petabyte-scale training data, multimodal datasets, and so on).
Tongrun
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Filecoin’s “move compute, not data” narrative, aimed at AI workloads (petabyte-scale training data, multimodal datasets, etc.)

13.2 days is how long it actually takes to transfer 1 PB of data using a dedicated 10 Gbps pipeline at 70% effective throughput—with the GPU sitting idle the entire time. Filecoin keeps the data where it is and moves the compute to it.

Transfer Time Calculation

1 PB = 1,000 TB = 8,000,000 Gb (decimal)
Dedicated 10 Gbps pipeline, 70% effective throughput → actual speed = 7 Gbps
Time = 8,000,000 Gb ÷ 7 Gbps ≈ 1,142,857 seconds
1,142,857 ÷ 86,400 ≈ 13.23 days
About 13.2 days. Throughout that time, the GPU is completely idle, just waiting for the data to be moved.

Filecoin’s Core Argument

Traditional approach:
Move the data to the compute (cloud provider data centers, supercomputing centers)
→ Bandwidth becomes a bottleneck, driving up costs, latency, and energy consumption.

Filecoin’s approach:
Keep the data where it is and bring the compute to the data (Compute-over-Data / data-centric computing).
Data is already stored in a verifiable way across globally distributed storage providers (SPs).
Through FVM, Warm Storage, Retrieval Markets, and other tools, compute tasks—especially AI inference/training preprocessing and retrieval-augmented tasks—can be scheduled directly where the data resides.
Reduce or even eliminate large-scale data transfers.
This is the “move compute, not data” narrative Filecoin has been promoting recently, particularly for AI workloads (petabyte-scale training data, multimodal datasets, etc.).

Sources: official media and online news. Content is for reference, learning, and discussion only. Please strictly comply with the laws and regulations of your location. This article does not constitute investment advice.
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Filecoin’s “move compute, not data” narrative, aimed at AI workloads (petabyte-scale training data, multimodal datasets, etc.) 13.2 days is how long it actually takes to transfer 1 PB of data using a dedicated 10 Gbps pipeline at 70% effective throughput—with the GPU sitting idle the entire time. Filecoin keeps the data where it is and moves the compute to it. Transfer Time Calculation 1 PB = 1,000 TB = 8,000,000 Gb (decimal) Dedicated 10 Gbps pipeline, 70% effective throughput → actual speed = 7 Gbps Time = 8,000,000 Gb ÷ 7 Gbps ≈ 1,142,857 seconds 1,142,857 ÷ 86,400 ≈ 13.23 days About 13.2 days. Throughout that time, the GPU is completely idle, just waiting for the data to be moved. Filecoin’s Core Argument Traditional approach: Move the data to the compute (cloud provider data centers, supercomputing centers) → Bandwidth becomes a bottleneck, driving up costs, latency, and energy consumption. Filecoin’s approach: Keep the data where it is and bring the compute to the data (Compute-over-Data / data-centric computing). Data is already stored in a verifiable way across globally distributed storage providers (SPs). Through FVM, Warm Storage, Retrieval Markets, and other tools, compute tasks—especially AI inference/training preprocessing and retrieval-augmented tasks—can be scheduled directly where the data resides. Reduce or even eliminate large-scale data transfers. This is the “move compute, not data” narrative Filecoin has been promoting recently, particularly for AI workloads (petabyte-scale training data, multimodal datasets, etc.). Sources: official media and online news. Content is for reference, learning, and discussion only. Please strictly comply with the laws and regulations of your location. This article does not constitute investment advice.
Filecoin’s “move compute, not data” narrative, aimed at AI workloads (petabyte-scale training data, multimodal datasets, etc.)

13.2 days is how long it actually takes to transfer 1 PB of data using a dedicated 10 Gbps pipeline at 70% effective throughput—with the GPU sitting idle the entire time. Filecoin keeps the data where it is and moves the compute to it.

Transfer Time Calculation

1 PB = 1,000 TB = 8,000,000 Gb (decimal)
Dedicated 10 Gbps pipeline, 70% effective throughput → actual speed = 7 Gbps
Time = 8,000,000 Gb ÷ 7 Gbps ≈ 1,142,857 seconds
1,142,857 ÷ 86,400 ≈ 13.23 days
About 13.2 days. Throughout that time, the GPU is completely idle, just waiting for the data to be moved.

Filecoin’s Core Argument

Traditional approach:
Move the data to the compute (cloud provider data centers, supercomputing centers)
→ Bandwidth becomes a bottleneck, driving up costs, latency, and energy consumption.

Filecoin’s approach:
Keep the data where it is and bring the compute to the data (Compute-over-Data / data-centric computing).
Data is already stored in a verifiable way across globally distributed storage providers (SPs).
Through FVM, Warm Storage, Retrieval Markets, and other tools, compute tasks—especially AI inference/training preprocessing and retrieval-augmented tasks—can be scheduled directly where the data resides.
Reduce or even eliminate large-scale data transfers.
This is the “move compute, not data” narrative Filecoin has been promoting recently, particularly for AI workloads (petabyte-scale training data, multimodal datasets, etc.).

Sources: official media and online news. Content is for reference, learning, and discussion only. Please strictly comply with the laws and regulations of your location. This article does not constitute investment advice.
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Filecoin’s storage capacity was already deployed on the network well before this wave of storage price increases began. Procurement lead times and spot-market premiums do not affect storage capacity already in use; because its data is content-addressed and verifiable, it is unaffected by quarterly price fluctuations in DRAM and hard drives.
Filecoin’s storage capacity was already deployed on the network well before this wave of storage price increases began.
Procurement lead times and spot-market premiums do not affect storage capacity already in use; because its data is content-addressed and verifiable, it is unaffected by quarterly price fluctuations in DRAM and hard drives.
Tongrun
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Filecoin’s storage capacity was already in place before prices surged

According to a Dell’Oro report, revenue from semiconductors and components for global data center IT grew 182% year over year in the second quarter of 2026. This surge was not driven solely by higher shipment volumes: the price per bit for DRAM and storage drives more than doubled compared with the previous year. As AI infrastructure pushes up the cost of memory and hard drives, server demand is adding further pressure to prices.

Amid supply shortages, vendors are revising quotes for new chips and storage drives. Storage costs are already climbing sharply, even before model training workloads are complete.

Consider it from another angle:

Filecoin’s storage capacity was deployed on the network long before this wave of price increases began. Procurement cycles and spot-market premiums do not affect storage capacity that is already in use. Because its data is content-addressed and verifiable, it is insulated from quarterly price fluctuations in DRAM and hard drives.

The doubling of component revenue reflects the cost of procuring new hardware, while storage resources already operating on the network follow a very different timeline.

Materials are sourced from official media and online news. The content is for reference, learning, and discussion only. Readers should strictly comply with the laws and regulations of their jurisdiction. This article does not constitute investment advice.
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Verified
Filecoin’s storage capacity was already in place before prices surged According to a Dell’Oro report, revenue from semiconductors and components for global data center IT grew 182% year over year in the second quarter of 2026. This surge was not driven solely by higher shipment volumes: the price per bit for DRAM and storage drives more than doubled compared with the previous year. As AI infrastructure pushes up the cost of memory and hard drives, server demand is adding further pressure to prices. Amid supply shortages, vendors are revising quotes for new chips and storage drives. Storage costs are already climbing sharply, even before model training workloads are complete. Consider it from another angle: Filecoin’s storage capacity was deployed on the network long before this wave of price increases began. Procurement cycles and spot-market premiums do not affect storage capacity that is already in use. Because its data is content-addressed and verifiable, it is insulated from quarterly price fluctuations in DRAM and hard drives. The doubling of component revenue reflects the cost of procuring new hardware, while storage resources already operating on the network follow a very different timeline. Materials are sourced from official media and online news. The content is for reference, learning, and discussion only. Readers should strictly comply with the laws and regulations of their jurisdiction. This article does not constitute investment advice.
Filecoin’s storage capacity was already in place before prices surged

According to a Dell’Oro report, revenue from semiconductors and components for global data center IT grew 182% year over year in the second quarter of 2026. This surge was not driven solely by higher shipment volumes: the price per bit for DRAM and storage drives more than doubled compared with the previous year. As AI infrastructure pushes up the cost of memory and hard drives, server demand is adding further pressure to prices.

Amid supply shortages, vendors are revising quotes for new chips and storage drives. Storage costs are already climbing sharply, even before model training workloads are complete.

Consider it from another angle:

Filecoin’s storage capacity was deployed on the network long before this wave of price increases began. Procurement cycles and spot-market premiums do not affect storage capacity that is already in use. Because its data is content-addressed and verifiable, it is insulated from quarterly price fluctuations in DRAM and hard drives.

The doubling of component revenue reflects the cost of procuring new hardware, while storage resources already operating on the network follow a very different timeline.

Materials are sourced from official media and online news. The content is for reference, learning, and discussion only. Readers should strictly comply with the laws and regulations of their jurisdiction. This article does not constitute investment advice.
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Decentralized storage networks like Filecoin offer a relatively flexible supplementary option by reusing existing grid-connected power. They are particularly well suited to scenarios that are not highly latency-sensitive but require large-scale, persistent storage.
Decentralized storage networks like Filecoin offer a relatively flexible supplementary option by reusing existing grid-connected power. They are particularly well suited to scenarios that are not highly latency-sensitive but require large-scale, persistent storage.
Tongrun
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Filecoin Can Partly Avoid the Bottleneck of Building New Grids and Transformers, Expanding Available Storage Capacity
According to the International Energy Agency, planning and building new grid transmission lines takes 5 to 15 years, while building a data center itself takes only 1 to 3 years. Lead times for large power transformers have doubled since 2021 and are now up to 4 years. Filecoin's capacity uses power that is already connected to the grid.
1. Grid Transmission Lines vs. Data Center Construction Timelines
Data from the International Energy Agency (IEA)
New high-voltage transmission lines often take 5–15 years (or even longer) from planning and permitting to completion. The main bottlenecks are environmental reviews, land acquisition, cross-regional coordination, and public opposition—not simply construction time.
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Filecoin Can Partly Avoid the Bottleneck of Building New Grids and Transformers, Expanding Available Storage CapacityAccording to the International Energy Agency, planning and building new grid transmission lines takes 5 to 15 years, while building a data center itself takes only 1 to 3 years. Lead times for large power transformers have doubled since 2021 and are now up to 4 years. Filecoin's capacity uses power that is already connected to the grid. 1. Grid Transmission Lines vs. Data Center Construction Timelines Data from the International Energy Agency (IEA) New high-voltage transmission lines often take 5–15 years (or even longer) from planning and permitting to completion. The main bottlenecks are environmental reviews, land acquisition, cross-regional coordination, and public opposition—not simply construction time.

Filecoin Can Partly Avoid the Bottleneck of Building New Grids and Transformers, Expanding Available Storage Capacity

According to the International Energy Agency, planning and building new grid transmission lines takes 5 to 15 years, while building a data center itself takes only 1 to 3 years. Lead times for large power transformers have doubled since 2021 and are now up to 4 years. Filecoin's capacity uses power that is already connected to the grid.
1. Grid Transmission Lines vs. Data Center Construction Timelines
Data from the International Energy Agency (IEA)
New high-voltage transmission lines often take 5–15 years (or even longer) from planning and permitting to completion. The main bottlenecks are environmental reviews, land acquisition, cross-regional coordination, and public opposition—not simply construction time.
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IPFS is evolving. Filecoin is supporting everything the future holds, making it easier for data stored on IPFS to remain persistent, portable, and verifiable.IPFS is evolving. Filecoin is supporting everything the future holds, making it easier for data stored on IPFS to remain persistent, portable, and verifiable. Introducing IPFS → Filecoin. Store your IPFS-pinned content with Filecoin: the same CID, a fraction of the cost of pinning services, and on-chain receipts you can verify yourself. Add your pinned IPFS data to Filecoin without changing a single CID. Your agent can handle the migration with just one link. This is the official “IPFS → Filecoin” migration feature launched by Filecoin (also called IPFS to Filecoin / Filecoin Pin migration), and it really works.

IPFS is evolving. Filecoin is supporting everything the future holds, making it easier for data stored on IPFS to remain persistent, portable, and verifiable.

IPFS is evolving. Filecoin is supporting everything the future holds, making it easier for data stored on IPFS to remain persistent, portable, and verifiable. Introducing IPFS → Filecoin. Store your IPFS-pinned content with Filecoin: the same CID, a fraction of the cost of pinning services, and on-chain receipts you can verify yourself.
Add your pinned IPFS data to Filecoin without changing a single CID. Your agent can handle the migration with just one link.
This is the official “IPFS → Filecoin” migration feature launched by Filecoin (also called IPFS to Filecoin / Filecoin Pin migration), and it really works.
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IPFS provides the infrastructure for data addressing and transfer. Filecoin provides persistent storage guarantees for IPFS through economic incentives. FVM makes Filecoin programmable, expanding its applications beyond storage to computation. The relationship among the three is similar to that between blockchain and Bitcoin: IPFS is the underlying technology, while Filecoin is its economic incentive layer. They depend on each other and develop together.
IPFS provides the infrastructure for data addressing and transfer.

Filecoin provides persistent storage guarantees for IPFS through economic incentives.

FVM makes Filecoin programmable, expanding its applications beyond storage to computation.

The relationship among the three is similar to that between blockchain and Bitcoin: IPFS is the underlying technology, while Filecoin is its economic incentive layer. They depend on each other and develop together.
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How IPFS, Filecoin, and FVM Relate (IPFS as the Underlying Technology, Filecoin as the Economic Incentive Layer, and FVM as the Programmable Computing Layer)
Three-layer progression:
Layer 1: IPFS — Underlying Communication Protocol
IPFS (InterPlanetary File System) is a peer-to-peer, content-addressed distributed transport protocol that allows users to store and transfer verifiable data.
It is like the “logistics rules” for data storage, specifying how files are located and transferred. However, it is only an open-source technical standard; it includes neither a token nor an incentive mechanism to ensure that others store data over the long term.
Layer 2: Filecoin — Incentive Layer and Storage Market
Filecoin is a decentralized storage network built on IPFS. It serves as IPFS’s incentive layer, using blockchain tokens (FIL) to incentivize storage providers to keep storing data.
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How IPFS, Filecoin, and FVM Relate (IPFS as the Underlying Technology, Filecoin as the Economic Incentive Layer, and FVM as the Programmable Computing Layer)Three-layer progression: Layer 1: IPFS — Underlying Communication Protocol IPFS (InterPlanetary File System) is a peer-to-peer, content-addressed distributed transport protocol that allows users to store and transfer verifiable data. It is like the “logistics rules” for data storage, specifying how files are located and transferred. However, it is only an open-source technical standard; it includes neither a token nor an incentive mechanism to ensure that others store data over the long term. Layer 2: Filecoin — Incentive Layer and Storage Market Filecoin is a decentralized storage network built on IPFS. It serves as IPFS’s incentive layer, using blockchain tokens (FIL) to incentivize storage providers to keep storing data.

How IPFS, Filecoin, and FVM Relate (IPFS as the Underlying Technology, Filecoin as the Economic Incentive Layer, and FVM as the Programmable Computing Layer)

Three-layer progression:
Layer 1: IPFS — Underlying Communication Protocol
IPFS (InterPlanetary File System) is a peer-to-peer, content-addressed distributed transport protocol that allows users to store and transfer verifiable data.
It is like the “logistics rules” for data storage, specifying how files are located and transferred. However, it is only an open-source technical standard; it includes neither a token nor an incentive mechanism to ensure that others store data over the long term.
Layer 2: Filecoin — Incentive Layer and Storage Market
Filecoin is a decentralized storage network built on IPFS. It serves as IPFS’s incentive layer, using blockchain tokens (FIL) to incentivize storage providers to keep storing data.
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Partly True
Filecoin charges no egress fees for stored data—no per-GB fee to move it out Moving 1 PB from one cloud provider to another can cost as much as $134,690: about $90,000 in egress fees, plus $44,690 in compute costs while your machines sit idle for those 13.2 days of transfer time. Before the data even starts doing any work, you’ve already paid a moving tax. At $0.09/GB, egress for 1 PB comes to roughly $90,000. Even with a faster pipeline, your machines still have to stay on while the bytes stream across. Cloud providers mark “going out” as a premium: staying put is cheap; moving away is expensive. Filecoin charges no egress fees for stored data—the same rule applies whether you retrieve 1 TB or 1 PB. Retrieval, switching compute nodes, or changing models no longer means paying a toll per gigabyte. Optional acceleration costs extra; the storage layer itself doesn’t make money by locking in your data. In AI workflows, the biggest cost often isn’t storing data for another month—it’s being afraid to move it. Zero egress fees are what make it possible for data to follow compute. Sources: official media and online news. This content is for reference, learning, and discussion only. Readers should strictly comply with the laws and regulations where they live. This article does not constitute investment advice. {spot}(FILUSDT)
Filecoin charges no egress fees for stored data—no per-GB fee to move it out

Moving 1 PB from one cloud provider to another can cost as much as $134,690: about $90,000 in egress fees, plus $44,690 in compute costs while your machines sit idle for those 13.2 days of transfer time. Before the data even starts doing any work, you’ve already paid a moving tax.

At $0.09/GB, egress for 1 PB comes to roughly $90,000. Even with a faster pipeline, your machines still have to stay on while the bytes stream across. Cloud providers mark “going out” as a premium: staying put is cheap; moving away is expensive.

Filecoin charges no egress fees for stored data—the same rule applies whether you retrieve 1 TB or 1 PB. Retrieval, switching compute nodes, or changing models no longer means paying a toll per gigabyte. Optional acceleration costs extra; the storage layer itself doesn’t make money by locking in your data.

In AI workflows, the biggest cost often isn’t storing data for another month—it’s being afraid to move it. Zero egress fees are what make it possible for data to follow compute.

Sources: official media and online news. This content is for reference, learning, and discussion only. Readers should strictly comply with the laws and regulations where they live. This article does not constitute investment advice.
FIL+2.69%
3
930
Tongrun
·
--
The 2026 Filecoin halving and the end of early token unlocks have created an opportunity for supply-side reform, while the surge in demand for AI data has opened up new potential for demand-side growth. Long-term observers should focus on two key metrics—“the volume of paid storage orders with real customers” and “enterprise customer deployment cases”—rather than short-term price fluctuations. {spot}(FILUSDT)
The 2026 Filecoin halving and the end of early token unlocks have created an opportunity for supply-side reform, while the surge in demand for AI data has opened up new potential for demand-side growth. Long-term observers should focus on two key metrics—“the volume of paid storage orders with real customers” and “enterprise customer deployment cases”—rather than short-term price fluctuations.
FIL+2.69%
2
295
Tongrun
·
--
Filecoin is shifting from early “mining-led growth” to “application-led growth”: Real storage demand is materializing The network has partnered with organizations such as Harvard University, NASA, and CERN, while the share of real, paid data continues to rise. Expansion of the FVM ecosystem The Filecoin Virtual Machine (FVM) makes the network programmable, supporting applications such as DeFi and data DAOs and elevating FIL from a storage payment token to a core token of the ecosystem. Strong demand for AI data storage The need for massive amounts of verifiable, low-cost storage to train large AI models is Filecoin’s clearest driver of demand growth. {spot}(FILUSDT)
Filecoin is shifting from early “mining-led growth” to “application-led growth”:

Real storage demand is materializing

The network has partnered with organizations such as Harvard University, NASA, and CERN, while the share of real, paid data continues to rise.

Expansion of the FVM ecosystem

The Filecoin Virtual Machine (FVM) makes the network programmable, supporting applications such as DeFi and data DAOs and elevating FIL from a storage payment token to a core token of the ecosystem.

Strong demand for AI data storage

The need for massive amounts of verifiable, low-cost storage to train large AI models is Filecoin’s clearest driver of demand growth.
FIL+2.69%
2
283
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