Project Redwood
Sector: Data Center
Source: StorageReview.com
Project Redwood is a distributed GPU supercluster architecture by WhiteFiber designed to link two geographically separated NVIDIA H200 GPU clusters into one logical GPU supercluster. The project achieved 111.2 Tbps throughput over 83 km of dark fiber with a round-trip latency of 0.9 ms, aiming to support AI training and inference workloads across multiple data centers. The architecture uses DriveN
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Project Redwood is a distributed GPU supercluster architecture by WhiteFiber designed to link two geographically separated NVIDIA H200 GPU clusters into one logical GPU supercluster. The project achieved 111.2 Tbps throughput over 83 km of dark fiber with a round-trip latency of 0.9 ms, aiming to support AI training and inference workloads across multiple data centers. The architecture uses DriveNets Ethernet-based AI fabric and WEKA NeuralMesh storage and memory infrastructure, targeting commercial launch in Q3 2026. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |