IBC 2026: SNS Validates EVO Shared Storage for Avid Media Composer 2026.8 EVO customers can confidently move to Media Composer 2026.8 Enterprise and continue collaborative post-production workflows with shared projects and bin locking This is a Press Release edited by StorageNewsletter.com on September 15, 2026 at 2:01 pm Studio Network Solutions (SNS) confirmed EVO shared storage compatibility with Avid Media Composer 2026.8 Enterprise, including support for collaborative shared projects and bin locking.“Video editing platforms change constantly, and we’re always raising our compatibility standards so customers get the best workflow no matter which app they use for editing. We tested EVO with Media Composer 2026.8 Enterprise through the beta and public release, and we can say with confidence: EVO is compatible,” said Ryan Stoutenborough, president, SNS. “At Avid, we believe production teams should have the freedom to choose what works best for them. In addition to supporting Avid NEXIS collaboration, Media Composer Enterprise 2026.8 expands support for additional shared storage platforms, like SNS EVO, enabling greater flexibility across different editing environments. We’re grateful to partners like SNS for testing these workflows ahead of release, to ensure a reliable collaboration experience. For EVO users, 2026.8 makes it easier than ever to collaborate while using the tools they already rely on,” said Rich Camp, principal product manager, media composer, Avid. Creative teams upgrading to Media Composer Enterprise for collaborative bin locking and project sharing may be eligible for an exclusive discount from SNS on a new EVO system. SNS has been showcased the validated EVO and Media Composer 2026.8 workflow at IBC 2026, along with its full lineup of storage, MAM, cloud, AI, review, and archive solutions.
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IBC 2026: SNS Adds Web Browser Uploading to Outpost Creative teams can now send media to Outpost from any internet-connected device without logging into ShareBrowser MAM or Adobe Premiere This is a Press Release edited by StorageNewsletter.com on September 14, 2026 at 2:01 pm Studio Network Solutions (SNS) is showcasing a new browser-based upload capability for Outpost, its cloud-native review and approval solution for creative teams, at SNS stand 7.B22 at IBC 2026 on September 11-14 in Amsterdam.The feature extends Outpost’s review and approval workflow to team members who are not actively working in ShareBrowser MAM or Adobe Premiere. All members of a production team can now upload footage, photos, or other media to their Outpost group from a compatible web browser on any internet-connected device, including tablets and smartphones. Uploaded files can be shared with reviewers worldwide for real-time feedback and collaboration. “We built Outpost so review and approval could happen anywhere. Now getting media into that process doesn’t require a MAM login, a plug-in, or even a desk – just a browser,” said Eric Newbauer, CTO and co-founder, SNS. This new feature is available in Outpost for unlimited users. SNS will demo its full range of storage, MAM, cloud, AI, review, and archive solutions at stand 7.B22 at IBC 2026.
IBC 2026: Ortana’s Cubix and Archiware P5: Intelligent Archive Orchestration Ortana Cubix and Archiware P5 combine to bring intelligent, automated archive management to media organisations across on-premises, cloud and hybrid environments This is a Press Release edited by StorageNewsletter.com on September 11, 2026 at 2:01 pm Powered by Cubix’s Media Aware Workflow Engine (MAWE) and secure Harness architecture, organizations can automate archiving, backup, restoration and storage tiering while keeping archive infrastructure securely behind existing firewalls. Archiware P5 Archive expands Cubix solution range to archive and restore to and from disk, cloud and LTO storage.The integration enables policy-driven workflows for LTO and cloud archives, including automated secondary copies, retention management, storage optimization and verified removal of production media. When content needs to be restored, Cubix can automatically select the most efficient and cost effective source – from production and nearline storage to LTO, cloud or replicated archives. Archive and restoration can be combined with over 170 existing technology integrations to create complete end-to-end workflows. Available across Cubix Yunify, Halo, Appliances, Connect GO and Connect FLEX, the solution provides a secure, location-independent approach to archive orchestration – helping organisations protect content, reduce operational effort and optimise storage costs at every stage of the media lifecycle.
Lightbits Labs has unveiled Inferra, an intelligent KV cache orchestration engine that dramatically improves GPU utilization for AI inference, making its public debut at the AI Infra Summit on September 15th. Designed to tackle memory bottlenecks from exploding KV caches in long-context LLMs, Inferra enables neoclouds and enterprises to run inference faster, scale bigger, and reduce AI infrastructure costs. The AI inference market is projected to top $117 billion this year, and Lightbits co-founder Avigdor Willenz emphasized that retrofitting legacy training systems for inference doesn't work, as Inferra was engineered from the ground up to solve GPU efficiency. Key breakthroughs include infinite HBM virtualization with 16x session density, serving up to 16x more concurrent inference sessions without hardware upgrades; over 100x latency improvement with 10M-token context windows by pre-fetching attention states from storage; and AI-native security with tenant isolation. Lightbits, inventors of NVMe over TCP, virtualizes GPU memory across memory and storage tiers, transforming the KV cache into a persistent data layer. OVHcloud CPTO Yaniv Fdida noted substantial GPU utilization gains from Inferra’s intelligent KV cache tiering, enabling scalable, cost-effective AI agent and RAG workloads. Solidigm’s Avi Shetty highlighted how network-attached storage with Inferra’s software virtualization breaks the memory wall for agentic AI, while ICC CTO Alexey Stolyar sees Inferra as an innovative solution for inference and token efficiency. Lightbits SVP Ramesh Chettuvetty stated Inferra delivers instant payback and net positive savings from day one, eliminating GPU stalls for larger models and longer conversations at lower cost. AI infrastructure teams, hyperscalers, and GPU cloud providers can visit booth 219 at the AI Infra Summit for live demonstrations.
Arm Neoverse CSS N4 Launched for Next-Gen CPUs and DPUs: Arm announced the Neoverse Compute Subsystem (CSS) N4, a new compute subsystem targeting future servers with up to 128 cores, PCIe Gen7 support, and 3nm process technology, addressing search intent for semiconductor, AI chip, and data center news.
Built on a 3nm process, the Arm Neoverse CSS N4 supports 8 to 128 Arm Neoverse N4 cores per die, operating at up to 3.8GHz with a focus on power-efficient compute. The cores are based on the Armv9.3 architecture and bring support for FP8 and MMLA (Matrix Multiply Accumulate) instructions. The subsystem uses the Arm Neoverse CMN S4 Interconnect, a fabric supporting up to a 16×16 mesh and fully coherent multi-chiplet connectivity via CHI C2C, tying together CPU cores, memory, I/O, and die-to-die interfaces.
On the memory side, the CSS N4 supports LPDDR6, DDR5, and MRDIMMs at speeds of 8000-12000 MT/s. For I/O, it offers up to 128 lanes of PCIe Gen7, indicating the design targets CPUs arriving at least one generation from now.
The article highlights the XSight Labs E1 64-Core Arm 800G DPU as a recent N-series CSS implementation, using an Arm Neoverse CSS N2 design with 64 N2 cores. For startups like XSight Labs, leveraging Neoverse CSS accelerates time to market by offloading base design work to Arm.
While the Neoverse V-series often makes headlines, the N-series cores have become popular in DPUs and network appliances. Arm is also developing its own CPUs, such as the Arm AGI CPU using Neoverse V3 cores. More details on the Neoverse CSS N4 are expected as products using the new IP approach launch.
SharonAI Holdings Inc., an Australian Neocloud delivering trusted AI infrastructure, has announced a five-year strategic agreement with Rafay Systems to use the Rafay platform as a centralized orchestration and operations layer across its AI Factory environments, targeting readers seeking semiconductor, AI chip, GPU, data center, and technology business news. Under the deal, Sharon AI will leverage Rafay’s automation, observability, governance, and secure multi-tenancy capabilities to standardize provisioning, monitoring, and customer access across its expanding accelerated computing infrastructure. The platform is designed to support the orchestration of up to 150,000 GPUs over the five-year term, enabling Sharon AI to manage compute capacity efficiently, accelerate service delivery, and provide consistent, secure access for customers building, training, and running AI workloads across Asia-Pacific and globally. “Sharon AI is delivering the trusted infrastructure and operational capabilities required to help customers realize measurable value,” said James Manning, co-founder and CEO, Sharon AI. “Our agreement with Rafay gives us a standardized platform for orchestrating and managing AI infrastructure across our expanding footprint.” The Rafay platform acts as a centralized control plane above physical infrastructure, handling lifecycle management, workload orchestration, governance, and support for Kubernetes and virtual machine environments. This abstracts the complexity of deploying advanced AI infrastructure, allowing customers to access AI capabilities without owning the underlying hardware. “Operating AI infrastructure at scale requires more than access to GPU capacity,” said Haseeb Budhani, co-founder and CEO, Rafay Systems. “Providers also need the orchestration, automation and governance capabilities required to transform that infrastructure into secure, reliable and production-ready AI services.” The agreement is expected to strengthen Sharon AI’s internal expertise, automate service delivery, improve infrastructure utilization and reliability, and accelerate access to advanced AI capabilities for customers.
Ubiquiti UniFi USW-Pro-XG-10-PoE 10 GbE PoE+++ switch review: The $699 1U rackmount upgrade adds two more 10Gbase-T PoE+++ ports, higher PoE budget, and a touchscreen display over the $499 USW-Pro-XG-8-PoE.
Ubiquiti’s latest enterprise switch, the UniFi USW-Pro-XG-10-PoE, is a significant upgrade from the desktop-form-factor USW-Pro-XG-8-PoE. Priced at $699 (versus $499 for the 8-port model), it shifts to a 1U rackmount chassis with ten 10Gbase-T ports supporting Ubiquiti’s Etherlighting and 802.3bt Type 4 Class 8 PoE+++ power delivery. The switch also includes two SFP+ 10 Gbps uplink ports, bringing total port count to 12. A 1.3-inch touchscreen with AR switch management provides real-time status, while the rear panel features four fans, AC power input with a safety latch, and a DC power input for Ubiquiti’s power solutions. Rack ears, cage nuts, screws, and rubber feet are included for flexible mounting. The power-cable lock is a notable convenience feature. This switch targets network administrators and prosumers seeking high-density 10 GbE PoE+++ for Wi-Fi 6/7 access points, cameras, and IoT devices in data centers or enterprise LANs. The review unit was purchased directly; an affiliate link to B&H Photo is available. For those needing more PoE budget and ports in a rackmount form factor, the USW-Pro-XG-10-PoE delivers a clear upgrade path over the 8-port model.
Nscale Closes Approximately $3 Billion in Financing for Both Ward County, Texas and Madison, North Carolina AI Deployments
Kioxia s Flash-for-DRAM Initiative Eyes AI Workloads
EE Times Magazine – September 2026
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Adata Technology expands its B2B portfolio with a new Business Applications hub, combining Trusta and Adata Industrial memory and storage solutions across enterprise server, intelligent edge, computer system, smart home, and portable & wearables—targeting search intent for AI infrastructure, data center, and enterprise SSD news. The hub helps enterprise customers, system integrators, and partners select configurations based on workloads, system architectures, and deployment environments. For Enterprise Server applications, Trusta delivers PCIe Gen5 enterprise SSDs in U.2, E1.S, and E3.S form factors, plus DDR5 R-DIMMs, addressing high-speed storage and high-capacity memory for AI servers and HPC. These products are qualified on platforms from AIC, MiTAC Computing, ASRock Rack, and Giga Computing, with selected items listed in public compatibility and AVL/QVL resources. Adata also introduces the AI Scaler Toolkit for AI deployment and management, integrating enterprise memory, storage, and software to accelerate real-world AI adoption. For Intelligent Edge, Adata Industrial provides industrial-grade memory and storage optimized for reliability, environmental resilience, and long-term availability in smart manufacturing, transportation, healthcare, and Edge AI. Solutions extend to Smart Home (smart cameras, gateways, appliances) and Portable & Wearables (embedded memory balancing performance and low power). As AI and edge computing drive growth, Adata will further integrate Trusta and Adata Industrial technologies, expanding from enterprise infrastructure to intelligent end devices and strengthening its global enterprise market presence.
Vdura Powers AI and HPC Research at New Mexico State University with Data Platform Deployment
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Humain, a PIF-backed company delivering full-stack AI capabilities, and MinIO, the data and memory foundation for AI, announced a strategic partnership to co-develop the world’s most advanced AI-native platform, targeting enterprise and sovereign AI deployments in Saudi Arabia and globally. The collaboration combines Humain’s vision for sovereign AI infrastructure with MinIO’s expertise in high-performance object storage and persistent memory, creating a unified foundation for production-scale AI workloads.
Under the agreement, MinIO becomes Humain’s data and memory foundation partner, starting with Humain Fabric, Humain Brain, and Humain One—the models and products layer within the Humain AI Stack. The companies will jointly engineer next-generation AI-native platform capabilities, with MinIO leading the architecture, design, and development of Humain Fabric, an AI-native data platform for enterprise and sovereign AI initiatives. This platform underpins Humain ONE, Humain OS, Humain Brain, and Humain Create.
The partnership rests on a shared conviction: the future of AI will be defined by integrated platforms unifying infrastructure, compute, data, memory, models, agents, and intelligent applications. “AI is only as powerful as the data foundation behind it,” said Tareq Amin, CEO of Humain. “Our partnership with MinIO strengthens Humain with world-class AI-native data infrastructure while accelerating our vision of building an AI platform that enables enterprises, governments, and developers to deploy intelligent systems with confidence.”
Anand Babu (AB) Periasamy, Co-founder and CEO of MinIO, added: “We are at the beginning of a new era in AI, one defined not by individual models but by the platforms that put intelligence to work at scale. MinIO and Humain are co-developing Humain Fabric as that platform: unified, AI-native, and purpose-built for a new class of agentic data engineering.”
Deployments will begin in Saudi Arabia before expanding internationally, supporting organizations needing secure, scalable, production-ready AI infrastructure. The partnership includes joint R&D, strategic engineering collaboration, and global go-to-market efforts focused on advancing AI-native infrastructure for customers worldwide.
QSAN Technology, Inc., an enterprise data management and storage solutions provider, has begun trading its shares on Taiwan’s Emerging Stock Board (ESB), marking a key milestone as the company expands from enterprise storage into enterprise AI solutions to meet surging demand for on-premises AI infrastructure.
The listing comes as generative AI and enterprise-specific LLMs drive demand for high-performance, secure, and scalable data infrastructure. QSAN leverages over two decades of storage expertise to develop integrated hardware and software platforms, including NVMe all-flash storage with proprietary management software, supporting AI training, inference, and RAG workloads. Chairman JP Chen emphasized that in-house R&D across hardware, firmware, OS, and software enables QSAN to help enterprises deploy AI within their own environments, strengthening its position as a Taiwan-developed technology leader.
Strategic partnerships with ASUS, Acer, and Gigabyte expand QSAN’s enterprise AI opportunities, combining storage and data management with server and computing capabilities for global markets. QSAN products are deployed in over 50 countries, and the company has received the SME Innovation Research Award, Rising Star Award, and two D&B Top 1000 SME Elite Awards, recognizing its technology innovation, business performance, and international competitiveness.
Entering the capital market marks the start of QSAN’s next growth phase. The company will continue investing in proprietary technology, strengthening enterprise AI solutions, selectively expanding into strategic global markets, and leveraging partnerships to capture opportunities from enterprise AI adoption.
IBM Completes Acquisition of HRL Laboratories to Accelerate the Future of Quantum
Dell's new Pro 5 14 business laptop, powered by Intel's Core Ultra Series 3 (Panther Lake) SoCs and featuring the first LPCAMM2 memory modules to cross our labs, targets mainstream enterprise users seeking high performance and modularity. The 14-inch Dell Pro 5 14 (model P514260) is built around Intel's top-tier Core Ultra X7 368H processor (4P+8E+4LPE, 5.0GHz) with integrated Arc B390 GPU (Xe3, 12 cores). It supports up to 64GB of LPDDR5X-8533 memory via a single LPCAMM2 module—a key differentiator for upgradeability—and a PCIe Gen5 x4 M.2 2280 SSD (1TB in our review unit). The laptop weighs 1.34 kg and measures 18.1 mm at its thickest point, with an aluminum chassis in magnetite gray. Display options include a WUXGA (1920×1200) 120Hz VRR panel rated at 500 nits and 100% sRGB, with a super-low-power IPS design consuming just 3.35W. Dell also offers WQXGA and OLED alternatives, though none support HDR. Connectivity includes two Thunderbolt 4 40Gbps USB-C ports, HDMI 2.1 (limited to 4K@60Hz without DSC), two USB-A 5Gbps ports, a rare 1GbE RJ45 jack (Intel I219-LM for vPro), and Wi-Fi 7 + Bluetooth 6.0 (Intel BE211). A 70Wh battery powers the system, and charging
Commvault, a leader in unified enterprise resilience, announced a new integration with CrowdStrike that makes Commvault cyber recovery actions available as native steps within Charlotte Agentic SOAR workflows, enabling joint customers to automate recovery actions as part of security workflows to accelerate response and forensic investigations. This AI-driven automation helps organizations detect, investigate, and respond to threats at machine speed, while reducing manual coordination between security and recovery teams.
The purpose-built connector allows security teams to incorporate Commvault recovery actions directly into Charlotte Agentic SOAR workflows. Key capabilities include: restricting access in Commvault to prevent unauthorized changes during active incidents; preserving clean recovery options by automatically suspending backup data aging policies to retain viable recovery points; and accelerating forensic investigations by restoring potentially compromised assets into Commvault Cleanroom for analysis without disrupting production systems.
“Security and recovery teams need to move quickly and in coordination during an incident,” said Vidya Shankaran, Field CTO, Commvault. “Our integration with CrowdStrike Charlotte Agentic SOAR makes Commvault cyber recovery actions available directly within security workflows, helping joint customers reduce manual handoffs and accelerate investigation and response.”
This integration follows previous Commvault-CrowdStrike collaborations: Falcon Insight XDR brought threat intelligence into Commvault Cloud, and Falcon Next-Gen SIEM extended visibility. The new Charlotte Agentic SOAR integration is available for joint customers through the CrowdStrike Marketplace. For more information, visit the Commvault and CrowdStrike joint partner page.
Nvidia Groq 3 LPX, the interactive AI inference accelerator now in full production, delivers world-record token generation speeds for agentic coding and latency-sensitive workloads, with Nebius becoming the first AI cloud to adopt the platform for its Token Factory inference service. An extension of the Nvidia Vera Rubin platform, Groq 3 LPX dramatically increases token generation rates for Vera Rubin NVL72 systems, enabling ultrafast responsiveness for agentic AI that requires massive token volumes across hundreds of inference steps. In Artificial Analysis benchmarking, Groq 3 LPX achieved a record 3,400 output tokens per second running Gemma 4 31B with a 100,000-token context—the fastest performance ever recorded for that model. This enables agentic tasks like coding to complete in minutes versus hours, providing 4x faster responsiveness than the nearest alternative platform. “Inference is the growth engine of AI,” said Jensen Huang, Nvidia CEO, noting that Vera Rubin extends the vision with workload-optimized AI factory configurations for the agentic AI era. Nebius plans to integrate Groq 3 LPX into its production inference platform, giving developers instant token generation through existing APIs without stack migration. Purpose-built AI inference cloud Groq also plans to be among the platform’s earliest adopters. The Vera Rubin platform, codesigned across seven chips and five racks, includes BlueField-4 DPUs, Vera CPU racks, Spectrum-6 SPX Ethernet, and STX storage to optimize multi-agent systems for highest throughput per watt and lowest-latency inference.
The AI infrastructure race has spent the past few years fixated on high-bandwidth memory as one of the most indispensable building blocks of accelerated compute...