European Heterogeneous Cloud/Edge Infrastructures for Next Generation Hybrid Services
Sector: Data Center • Location: Greece, Spain, France, Germany, Sweden
Source: EU Funding & Tenders Portal
HIGHER brings together 11 partners from industry and academia to jointly develop and validate open-source designs for high-density rack-scale systems capable of supporting cloud and edge services at scale in standards-based data center environments. Starting with the ARM RHEA2 and RISC-V EPAC processors from EPI and the RISC-V EUPilot processor chip, HIGHER adopts the Open Compute Project (OCP) Se
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
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 | HIGHER brings together 11 partners from industry and academia to jointly develop and validate open-source designs for high-density rack-scale systems capable of supporting cloud and edge services at scale in standards-based data center environments. Starting with the ARM RHEA2 and RISC-V EPAC processors from EPI and the RISC-V EUPilot processor chip, HIGHER adopts the Open Compute Project (OCP) Server family of standards to build processor modules for computation and acceleration, alongside a system security/control module, all operating with fully-featured operating systems and runtimes. HIGHER aims to design OCP server mechanics to provide modular rack systems incorporating reusable standards-based infrastructure, encompassing hardware, low-level firmware, and systems software, ensuring trustworthy functionality for managing, securing, and controlling servers. The project's open-source hardware and software outcomes will enhance European Digital Autonomy and facilitate wide adoption. Furthermore, the project will assemble representative software stacks supporting a range of use cases, including accelerated data processing and analysis for converged Cloud and HPC platforms, Infrastructure-as-a-Service with standardized management and monitoring, Platform-as-a-Service facilitating large-scale data processing for ML inference and data analytics, and memory pool management at the server rack level, with access control safeguards aligned with maturing CXL standards. |
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 |
