Enterprise Computing
Efficiently develop reliable, workload-optimized silicon and systems for data center applications
Overview
Overview
The Enterprise Computing market with data centers and connections to edge computing is undergoing a fundamental transformation driven by the ability of system companies to conduct their bespoke silicon development to optimize hardware for specific workloads. In addition, the Arm and RISC-V instruction set architectures (ISAs) are trying to disrupt the computing socket in data centers traditionally dominated by the x86 ISA. Given the enormous scale of data centers and the various forms of edge computing, critical challenges include performance & power efficiency necessary to handle massive workloads efficiently, scalability & flexibility to adapt to changing workloads, and reliability & security to be resistant to failures and cyberattacks.
Arteris has a history of successful collaborations with prominent semiconductor companies, demonstrating its ability to deliver reliable and effective interconnect solutions. Its flexible and scalable on-chip data flow backbone offers the unique flexibility to create bespoke solutions for artificial intelligence, computing, memory, and storage.

Advantages
Advantages
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Optimized PPA
Arteris's System IP solutions optimize enterprise computing systems' performance, power consumption, and cost, allowing semiconductor vendors to meet the unique requirement for workload-optimized enterprise computing.
Advanced SoC Integration
Arteris's solutions aid developers in addressing the challenges of integrating multiple heterogeneous processing elements, memory, storage systems, and communication interfaces.
Flexibility and Scalability
Arteris' System IP offerings are uniquely configurable, flexible and scalable to meet the requirements for bespoke hardware optimized for specific workloads.
Arteris revolutionizes semiconductor design with
FlexGen - smart NoC IP
FlexGen’s built-in AI/ML-driven automation enables the generation of optimized NoC designs for complex SoCs, delivering expert-level results.
- 10x Productivity Boost
- Expert-Level Results
- Up to 30% Wire Length Reduction
Realize faster time-to-market, optimized power plus performance, and improved overall design economics with FlexGen.
Products
Products
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Customers
Trusted by innovative companies everywhere
Resources
Resources
Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an printer.
- Magillem Registers – Automate the Hardware/Software Interface for Fast Chip Design
- Accelerating Timing Closure for Networks-on-Chip (NoCs) using Physical Awareness
- Optimizing Data Transport Architectures in RISC–V SoCs for AI/ML Applications
- FlexGen Product Tour
- Cache Coherency in Heterogeneous Systems
- Integration Challenges for RISC-V Designs
- Promises and Pitfalls of SoC Restructuring
- Scaling Performance in AI Systems
- Architecting the Future of Deep Learning Presentation
- Arm & Arteris AI and ISO 26262 Presentation
- Arm TechCon: Implementing ISO 26262 Compliant AI Systems-on-Chip with Arm and Arteris
- Automating the Generation of Scalable and Reusable FMEDA in Complex Systems-on-Chip (SoCs)
- Building Better IP with RTL Architect NoC IP Physical Exploration
- Efficient Scaling of AI Accelerators Using NoC Tiling
- Implementing Machine Learning & Neural Network Chip Architectures
- ISO 26262: What to Expect From Your Chip or IP Provider
- Lessons Learned Integrating AI/ML Accelerators into Complex ISO 26262 Compliant Systems-on-Chip
- Routing Congestion: The Growing Cost of Wires
- Safety Considerations for Network-on-Chip (NoC) Development
- The Role of Networks-on-Chips Enabling AI/ML Silicon and Systems
- Tiled Approach to System Scaling
- Using Synopsys Z01X to Accelerate the Fault Injection Campaign of a Fully Configurable IP
- EE Journal: Managing the Massive Data Throughput: AI-Based Designs and The Value of NoC Tiling
- Electronic Design: All About NoCs
- SemiWiki: A Broad View of Design Architectures and the Role of the NoC with Arteris’ Michal Siwinski
- EE Journal: The Freedom to Innovate: Arteris and the Rise of RISC-V
- EE Journal: The Network-on-Chip Pioneer: How Arteris Enabling SoC Developers to Create Physically Valid NoCs Faster
- SemiWiki: The Impact of Using a Physically Aware NoC with Charlie Janac
- Fundamentals of Semiconductor ISO 26262 Certification: People, Process and Product
- How to Efficiently Achieve ASIL-D Compliance Using NoC Technology
- Mobileye Case Study: Using Arteris for ADAS
- Optimizing Enterprise-Class SSD Host Controller Design with Arteris FlexNoC Network-On-Chip Interconnect IP
- Re-Architecting SoCs for the AI Era
- Routing Congestion: The Growing Cost of Wires
- Scalability – A Looming Problem in Safety Analysis
- Security in Artificial Intelligence
- Using Machine Learning for Characterizations of NoC Components
- Using Virtual Prototypes to Improve the Traceability of Critical Embedded Systems Flow
- Making Cache Coherent SoC Design Easier with Ncore
Latest News




[rank_math_breadcrumb]
Efficiently develop reliable, workload-optimized silicon and systems for data center applications
Call to action 1
Call to action 2
Enterprise Computing
Sign Up
Overview
Overview
The Enterprise Computing market with data centers and connections to edge computing is undergoing a fundamental transformation driven by the ability of system companies to conduct their bespoke silicon development to optimize hardware for specific workloads. In addition, the Arm and RISC-V instruction set architectures (ISAs) are trying to disrupt the computing socket in data centers traditionally dominated by the x86 ISA. Given the enormous scale of data centers and the various forms of edge computing, critical challenges include performance & power efficiency necessary to handle massive workloads efficiently, scalability & flexibility to adapt to changing workloads, and reliability & security to be resistant to failures and cyberattacks.
Arteris has a history of successful collaborations with prominent semiconductor companies, demonstrating its ability to deliver reliable and effective interconnect solutions. Its flexible and scalable on-chip data flow backbone offers the unique flexibility to create bespoke solutions for artificial intelligence, computing, memory, and storage.
Advantages
Advantages
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Optimized PPA
Arteris’s System IP solutions optimize enterprise computing systems’ performance, power consumption, and cost, allowing semiconductor vendors to meet the unique requirement for workload-optimized enterprise computing.
Advanced SoC Integration
Arteris’s solutions aid developers in addressing the challenges of integrating multiple heterogeneous processing elements, memory, storage systems, and communication interfaces.
Flexibility and Scalability
Arteris’ System IP offerings are uniquely configurable, flexible and scalable to meet the requirements for bespoke hardware optimized for specific workloads.
Latest Innovation
Arteris revolutionizes semiconductor design with FlexGen – smart NoC IP
FlexGen’s built-in AI/ML-driven automation enables the generation of optimized NoC designs for complex SoCs, delivering expert-level results.
- 10x Productivity Boost
- Expert-Level Results
- Up to 30% Wire Length Reduction
Realize faster time-to-market, optimized power plus performance, and improved overall design economics with FlexGen.
Download White Paper
Explore FlexGen
https://vimeo.com/1054310823
Products
Products
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Customers
Trusted by innovative companies everywhere
Resources
Resources
Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an printer.
- Magillem Registers – Automate the Hardware/Software Interface for Fast Chip Design
- Accelerating Timing Closure for Networks-on-Chip (NoCs) using Physical Awareness
- Optimizing Data Transport Architectures in RISC–V SoCs for AI/ML Applications
- FlexGen Product Tour
- Cache Coherency in Heterogeneous Systems
- Integration Challenges for RISC-V Designs
- Promises and Pitfalls of SoC Restructuring
- Scaling Performance in AI Systems
- Architecting the Future of Deep Learning Presentation
- Arm & Arteris AI and ISO 26262 Presentation
- Arm TechCon: Implementing ISO 26262 Compliant AI Systems-on-Chip with Arm and Arteris
- Automating the Generation of Scalable and Reusable FMEDA in Complex Systems-on-Chip (SoCs)
- Building Better IP with RTL Architect NoC IP Physical Exploration
- Efficient Scaling of AI Accelerators Using NoC Tiling
- Implementing Machine Learning & Neural Network Chip Architectures
- ISO 26262: What to Expect From Your Chip or IP Provider
- Lessons Learned Integrating AI/ML Accelerators into Complex ISO 26262 Compliant Systems-on-Chip
- Routing Congestion: The Growing Cost of Wires
- Safety Considerations for Network-on-Chip (NoC) Development
- The Role of Networks-on-Chips Enabling AI/ML Silicon and Systems
- Tiled Approach to System Scaling
- Using Synopsys Z01X to Accelerate the Fault Injection Campaign of a Fully Configurable IP
- EE Journal: Managing the Massive Data Throughput: AI-Based Designs and The Value of NoC Tiling
- Electronic Design: All About NoCs
- SemiWiki: A Broad View of Design Architectures and the Role of the NoC with Arteris’ Michal Siwinski
- EE Journal: The Freedom to Innovate: Arteris and the Rise of RISC-V
- EE Journal: The Network-on-Chip Pioneer: How Arteris Enabling SoC Developers to Create Physically Valid NoCs Faster
- SemiWiki: The Impact of Using a Physically Aware NoC with Charlie Janac
- Fundamentals of Semiconductor ISO 26262 Certification: People, Process and Product
- How to Efficiently Achieve ASIL-D Compliance Using NoC Technology
- Mobileye Case Study: Using Arteris for ADAS
- Optimizing Enterprise-Class SSD Host Controller Design with Arteris FlexNoC Network-On-Chip Interconnect IP
- Re-Architecting SoCs for the AI Era
- Routing Congestion: The Growing Cost of Wires
- Scalability – A Looming Problem in Safety Analysis
- Security in Artificial Intelligence
- Using Machine Learning for Characterizations of NoC Components
- Using Virtual Prototypes to Improve the Traceability of Critical Embedded Systems Flow
- Making Cache Coherent SoC Design Easier with Ncore
All Resources
What’s New