KEY TAKEAWAYS:

Unlimited Plus Premium includes unlimited premium high-speed data, 50 GB high-speed mobile hotspot data, and video streaming up to 4K UHD for maximum connectivity and entertainment.Customers receive built-in savings with up to $10/month phone financing credit (up to $360 value towards a new phone) and an included smartwatch data plan (up to $10 monthly value), plus Anytime Upgrade.Enhanced global connectivity is included, with free international roaming for calls and texts, and 20 GB per month of high-speed data in over 215 countries and destinations.

STAMFORD, Conn., July 22, 2026 /PRNewswire/ — Ready for wireless that does more? The new Unlimited Plus Premium plan from Spectrum Mobile brings residential customers a powerful mix of premium features and built-in savings. The new top-tier plan delivers the most comprehensive suite of benefits across Spectrum Mobile, designed for those who want the best in wireless connectivity and value.

“Unlimited Plus Premium is our most flexible and feature-rich plan yet,” said Danny Bowman, Executive Vice President, Product. “It delivers premium connectivity, savings and exclusive benefits, meeting the needs of customers who expect even more from their mobile experience.”

The new plan offers several exclusive features:

50 GB of high-speed mobile hotspot data – five times more than Unlimited Plus. Ideal for streaming, gaming, remote work, travel and multi-device households.Video streaming up to 4K UHD on cellular, letting customers enjoy their favorite content in full 4K detail when away from WiFi.Built-in savings with up to $10 per month credit for financed Spectrum Mobile phones (up to a $360 value).Included smartwatch service for one eligible paired smartwatch, a $10 monthly value.Enhanced global connectivity with free international roaming with calls and texts, and 20 GB of high-speed data per month in more than 215 countries and destinations, including Canada and Mexico.

Unlimited Plus Premium also includes all the benefits of Spectrum Mobile’s current plans: unlimited high-speed data, unlimited talk, text and WiFi calling, straightforward pricing, coast-to-coast 5G coverage, and access to Speed Boost when connected to the Spectrum Mobile Network’s approximately 45 million secure WiFi access points nationwide. As with Unlimited Plus, customers who signed up for Unlimited Plus Premium also have access to Anytime Upgrade, allowing them to upgrade their phone without traditional wait times.

Unlimited Plus Premium is available to residential customers for $50 per month per line (multi-line) or $60 per month (single-line) with no contracts, added taxes or hidden fees.

More information about Spectrum Mobile Unlimited Plus Premium is available at www.spectrum.com/mobile.

About Spectrum
Spectrum is a suite of advanced communications services offered by Charter Communications, Inc. (NASDAQ: CHTR), a leading broadband connectivity company available to nearly 59 million homes and small to large businesses across 41 states. Founded in 1993, Charter has evolved from providing cable TV to streaming, and from high-speed Internet to a converged broadband, WiFi and mobile experience. Over the Spectrum Fiber Broadband Network and supported by our 100% U.S.-based employees, the Company offers Seamless Connectivity and Entertainment with Spectrum Internet®, Mobile, TV and Voice products. 

More information can be found at corporate.charter.com. 

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SOURCE Charter Communications, Inc.

End-to-end blueprint enables cost-efficient high-performance AI infrastructure based on AMD Instinct™ MI350 series GPUs and DriveNets AI Fabric

RA’ANANA, Israel, July 22, 2026 /PRNewswire/ — DriveNets, a leader in large-scale networking solutions, today announced the publication of an end-to-end reference architecture, that defines a validated design blueprint for building high-performance AI infrastructure using AMD Instinct™ MI350 series GPUs and DriveNets AI Fabric. The combined solution supports scale-out and scale-across architectures, including front-end and storage networking based on a single networking solution. When combined with automated orchestration and full-stack integration services, it also supports rapid deployment and efficient end-to-end scaling.

The reference architecture and the companies’ growing strategic relationship reflect a shared vision for open, multi-vendor AI infrastructure. AMD recently participated as a strategic investor in DriveNets’ $410 million Series D financing round, reinforcing a strong commitment to their joint customers.

The reference architecture, available here, is accompanied by a complementary deployment guide that outlines a system-level approach for designing, deploying, and fine-tuning large AI GPU clusters. Together, the documents cover compute and networking design, as well as end-to-end optimization across the full-stack, including AMD ROCm™ software ecosystem, RCCL collective communications, network plugins, NICs, servers, and system-level orchestration to maximize training and inference performance.

Validated performances at scale

The reference architecture includes comprehensive benchmarking across inference, training, network isolation, and fabric resiliency workloads on AMD Instinct MI355X GPU clusters – providing validated, reproducible evidence of the platform’s readiness for production-scale AI deployments.

The architecture includes multiple network topology options, along with detailed technical guidance and best practices for optimizing performance, scalability, isolation, and resiliency.

Benchmark results show that DriveNets’ AI fabric delivers approximately 5% higher throughput and 10–15% lower time to first token (TTFT) compared to publicly available industry results. At multi-node scale, the platform meets strict production service-level objectives, including sub-20 millisecond inter-token latency and a minimum of 50 output tokens per second per user.

Resiliency testing demonstrated stable collective communication performance under concurrent RDMA traffic, with no degradation during transient link disruptions. Fabric bandwidth remained consistent, with no observable recovery delays. The results also demonstrate RCCL collective performance on AMD platforms comparable to leading publicly available NCCL benchmarks on equivalent configurations.

High performance with improved efficiency

These results validate the joint architecture as a scalable foundation for the full LLM lifecycle, enabling high utilization and consistent performance across training and inference workloads.  The solution is designed to maximize GPU efficiency, reduce total cost of ownership, and deliver strong cost-per-token performance, offering an open alternative to vertically integrated AI infrastructure stacks.

“AI infrastructure is moving from single-vendor stacks to open, multi-vendor systems, and the network makes that shift work,” said Ido Susan, co-founder and CEO of DriveNets. “This reference architecture with AMD turns that into a validated blueprint: AMD Instinct GPUs and our AI fabric deliver higher throughput and lower time to first token than publicly available results — with the resiliency and consistency that production AI clusters require. This gives customers building on AMD Instinct a validated, end-to-end blueprint to maximize GPU utilization and lower cost-per-token, on open Ethernet.”

“Production AI clusters are defined by how well compute, network and software work together at scale,” said Arvind Balakumar, corporate vice president, Global Cluster Engineering, AMD. “Our collaboration with DriveNets gives customers a validated, open Ethernet reference architecture that pairs AMD Instinct MI350 series GPUs with DriveNets AI Fabric to help maximize GPU utilization, improve workload efficiency and simplify deployment across training and inference workloads.”

A better AI infrastructure choice

The deployment guide provides step-by-step instructions covering compute, network interface card (NIC), networking, collective-communications libraries and workload setup, configurations, and performance optimizations.

AMD and DriveNets are closely collaborating to ensure end-to-end software stack optimization, from NIC behavior and collective communications to system-level tuning. The companies are working with joint customers across production and proof-of-concept deployments, including LLM developers and NeoCloud providers. The companies also established a joint lab to enable customers to run proof-of-concept (PoC) tests using their own workloads.

About DriveNets

DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company’s disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets’ solutions power production networks for global tier-1 operators like AT&T and Comcast — supporting nearly 50% of total U.S. internet traffic — and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Learn more at https://www.drivenets.com.

About AMD

AMD drives innovation in high-performance and AI computing to solve the world’s most important challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs and gaming. With a broad portfolio of AI-optimized CPUs, GPUs, networking and software, AMD delivers full-stack AI solutions that provide the performance and scalability needed for a new era of intelligent computing. Learn more at www.amd.com.

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SOURCE DriveNets

A new Rust-based default runtime, expanded hardware support and a hardened supply chain give the project’s isolation model the strength agentic workloads demand

AUSTIN, Texas, July 22, 2026 /PRNewswire/ — The Kata Containers community today announced the release of Kata Containers 4.0, a milestone that reinforces the project’s growing role as the open source foundation for sandboxing AI agents. The release’s central engineering achievement, a new Rust-based runtime, becomes the project’s default implementation, delivering the memory safety and performance gains needed to isolate agents whose behavior can’t always be predicted in advance.

Kata Containers is an open source project that combines the speed of Linux containers with the isolation of lightweight virtual machines. The project is managed by the OpenInfra Foundation and is used across multi-tenant Kubernetes environments, secure CI/CD pipelines and, increasingly, AI infrastructure.

*** Download Kata Containers 4.0

Why AI Agents Need a Stronger Sandbox

AI agents carry a different risk profile than traditional microservices: their execution paths shift based on the tools they can reach, the memory they accumulate and the prompts they receive, making them harder to trust by default. Kata Containers addresses that risk by running each workload inside its own lightweight virtual machine rather than sharing the host kernel, so a compromised agent cannot see another agent’s memory or move laterally across a cluster.

Kata Containers now serves as one of the supported runtimes for Agent Sandbox, a project under the Kubernetes SIG Apps umbrella, and remains the foundation for Confidential Containers, which encrypts data in use, allowing agent workloads to process private data without exposing it to the infrastructure operator.

*** Community experts from Ant Group, Google and NVIDIA discussed these use cases in depth during the OpenInfra Live episode on agent sandboxing, summarized in this Superuser article.

Organizations already running agent workloads in production are taking notice.

“Ant Group has long been a pioneer in deploying Kata Containers at scale. We first proved its value in co-locating our offline batch and compute workloads, where latency is less critical, to maximize resource efficiency and advance Ant Group’s green computing initiatives. To further bolster our security posture, we expanded Kata’s footprint to our core online services last year, enabling real-time security auditing and immediate mitigation of malicious access. Today, Kata has naturally become the foundational secure sandbox for our AI Agents. With its outstanding isolation and ultra-fast startup performance, Kata is now an integral part of Ant Group’s Agentic Infrastructure. The architectural leap in Kata 4.0—especially the transition to the Rust runtime—directly addresses the stringent security and efficiency requirements of modern AI sandboxing. This release is a masterpiece of community collaboration, and we are proud to drive its adoption.” — Fupan Li, Kata Containers architecture committee (AC) member and head of container technology, Ant Group

“Kata Containers 4.0 brings a memory-safe Rust foundation to one of the ecosystem’s most proven sandboxing frameworks. NVIDIA’s full GPU support, carried seamlessly from the Go runtime to Rust, enables customers to adopt 4.0 without disruption — running agentic AI and confidential workloads with stronger isolation, attestation, and performance. The NVIDIA Confidential Containers Reference Architecture, built on Kata Containers, provides NVIDIA partners a validated Confidential Computing framework for Kubernetes deployments, accelerating the path from evaluation to production. NVIDIA is proud to support this milestone and remains committed to helping customers deploy confidential AI at scale.” — Erik Bohnhorst, director of product management, NVIDIA

“Kata Containers is the foundation of our confidential computing stack here at Edgeless. Our Contrast framework shields entire fleets of containers within Kubernetes and our end-to-end encrypted GenAI inference service Privatemode AI builds directly on top of that. Kata’s pod-in-VM model is what makes this possible. The project’s continued focus on confidential computing has been essential to us. We’re excited about the 4.0 release and proud to contribute to a project that so many production workloads now depend on.” — Felix Schuster, CEO, Edgeless Systems

“Kata is a key component for many of Microsoft’s container isolation workloads such as AKS’s pod sandboxing offering. Kata’s focus on confidentiality, rust-based security, and improved agentic isolation continue to make it a valuable tool to meet the demands of our customers. Microsoft is proud to contribute to this Kata release, and to continue improving the security of AI workloads for our customers.” Jim Perrin — principal program manager lead – Azure Linux, Microsoft

A Rust-Based Foundation Makes It Possible

That level of isolation is only possible because of the architectural work behind Kata Containers 4.0. With this release, runtime-rs, the Rust-based runtime, replaces the original Go implementation as the project’s default, capping a multi-year community effort to move onto a memory-safe foundation. The change improves memory safety, reduces the runtime’s footprint and lowers startup latency, the kind of performance headroom that matters when sandboxes are being spun up and torn down at agent speed. The Go runtime is now deprecated and will continue to receive bug and security fixes during a defined transition period, but the community will not remove it before Kata Containers 5.0.

“Kata Containers 4.0 marks an important evolution for the project,” said Ildiko Vancsa, director of community for the OpenInfra Foundation. “By making the Rust runtime the default, the community is strengthening the project’s safety guarantees while creating a foundation for long-term innovation in secure cloud-native infrastructure.”

*** For the full technical breakdown, including the Go runtime deprecation timeline, supported hypervisors and hardware architectures, read the Kata Containers 4.0 release notes.

Version 4.0 also brings changes beyond the runtime: formalized release acceptance criteria, expanded hardware and hypervisor support, and a hardened software supply chain with updated dependencies and stricter CI checks. Together, these changes give the project a clearer, more predictable foundation for future releases.

*** For a closer look at the community’s work on the new Rust-based runtime, read the Kata Containers 4.0 blog post.

Get Involved

Kata Containers is an open source community that welcomes contributors across runtime development, documentation, testing and ecosystem integration.

Website: https://katacontainers.io GitHub: https://github.com/kata-containers/Slack: #general

About Kata Containers

Kata Containers is an open source project that delivers the performance of standard Linux containers with the enhanced isolation of lightweight virtual machines. Built for secure multi-tenant environments, Kata Containers enables cloud-native workloads to run with stronger isolation without sacrificing speed or compatibility. Kata Containers is managed by the OpenInfra Foundation. katacontainers.io

About the OpenInfra Foundation

The OpenInfra Foundation builds communities that write open source infrastructure software running in production. Backed by more than 110,000 individuals in 187 countries, the OpenInfra Foundation hosts open source projects and communities of practice covering AI infrastructure, container-native applications, edge computing and datacenter clouds. The OpenInfra Foundation is part of the nonprofit Linux Foundation. Join the OpenInfra movement: www.openinfra.org

Media Contacts:
Robert Cathey
Cathey.co for the OpenInfra Foundation
robert@cathey.co
Allison Price
OpenInfra Foundation
allison@openinfra.org 

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SOURCE OpenInfra Foundation