theCUBE, a leading real-time tech publishing platform founded by SiliconANGLE Media that produces podcasts live from industry events, such as AWS re:Invent, Mobile World Congress, Google NEXT, Dell Technologies World, RSA and CNCF, announced today that EnterpriseWeb is a finalist for a Most Innovative Networking Solution.
The Tech Innovation CUBEd Awards program, is a new tech awards program that celebrates the world’s most innovative companies, groundbreaking products and out-of-the-box thinkers driving the tech industry forward. The Most Innovative Networking Solution award recognizes a cutting-edge networking solution that demonstrates exceptional innovation in areas such as software-defined networking (SDN), network function virtualization (NFV), cloud networking or next-generation wireless technologies, while ensuring security and scalability.
EnterpriseWeb is a NY-based software company that offers an Agent-based no-code platform for intelligent automation. The company is a Telecom virtualization and automation pioneer. It ran the first ETSI NFV proof-of-concept, a series of award-winning TMF catalysts, and was the first, and still the only software company, to demonstrate “Telco-grade Generative AI for Intent-based Orchestration”. Netwrx.ai is the company’s solution for intent-based orchestration and autonomous networking. With Netwrx.ai, developers can “talk to the network” to design, deploy and manage services through a Generative AI natural language interface and leverage the company’s low-token, low-latency, energy-efficient approach to optimizing inference accuracy.
EnterpriseWeb submitted an entry for its Netwrx.ai solution highlighting their recent partnership with Dell, Intel and Red Hat for AI-powered 5G Network Automation on CPUs.
Together, the partners are offering a turnkey integrated solution to enable and accelerate Telco adoption of AI with fast time-to-value and energy efficiency. The CPU-first approach reduces CapEx investments with lower cost hardware, while AI-powered automation for NetDevOps and autonomous networking reduces OpEx. Importantly, Netwrx.ai’s optimizations dramatically reduce energy consumption to support Telco sustainability goals and enable edge use cases.
These claims have been validated based on extensive testing and benchmarking on Dell PowerEdge servers in the Intel labs running over Xeon processors with Red Hat OpenShift, Mixtral 7b and Ollama.
Netwrx.ai can run as many as 2000 concurrent 5G user sessions on a Dell R760 data center server with Xeon 5 (2×64 core 2TB RAM) and up to 400 concurrent 5G user sessions on a Dell XR8000 edge server with Xeon 4 (32 core, 256GB RAM). Tests were run without any acceleration or special libraries. The solution was benchmarked for both 5G RAN and 5G Standalone use cases. The latest testing featured IBM’s Granite 3b and OpenShift.ai.
Netwrx.ai introduces a new model for concurrency to orchestrate LLM interactions with low tokens and high throughput that reduces inference latency while minimizing LLM resource and energy consumption. Netwrx.ai also dynamically calls algorithms, analytics and rules-based logic (Hybrid-AI) where they are faster, better, cheaper to use. Netwrx.ai optimizes AI inferencing to mitigate its overhead, so it can efficiently use AI to optimize network performance.
Running AI and 5G RAN workloads on the same server at the edge is a hot topic. At the same time, the industry is looking for real operational benefit for advanced AI use cases in the data center and are demanding ROI and energy efficiency. “CPU first” AI and Network workload orchestration addresses these concerns to allow for widespread adoption, even at the edge, on an x86 architecture that telcos know.
Related videos:
- Solution delivery
- Day 0 “Talk to Network”
- Day 1 automated deployment
- Day 2 autonomous networking
- AI assisted trouble-shooting
EnterpriseWeb’s past interviews on theCube
