Research Feed: Steve McDowell

Image of Arm processors
Arm
Steve McDowell

IBM & Arm: Together Extending Arm Architecture into Enterprise Computing

IBM and Arm announced a strategic partnership to support the Arm architecture on IBM’s enterprise computing platforms, IBM Z and LinuxONE. The collaboration aims to address two key enterprise needs: greater workload flexibility and infrastructure capable of handling AI- and data-heavy applications at a mission-critical level.

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MLPerf 6.0 Inference
AMD
Steve McDowell

MLPerf Inference 6.0: Software Gains & Broadening Competition Shake Things Up

MLCommons released MLPerf Inference v6.0 results, marking what the consortium describes as the most significant update to the benchmark suite to date.

The round introduced five new workloads, including a multimodal vision-language model, a text-to-video generation benchmark, and a new interactive scenario for the DeepSeek-R1 reasoning model.

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WEKA AMG AIDP
Dell
Steve McDowell

WEKA: NeuralMesh AIDP & STX Integration (GTC 2026)

At the recent GTC 2026, WEKA announced two major updates that enhance its position at the crossroads of AI storage and inference infrastructure. The company revealed the general availability of NeuralMesh AI Data Platform (AIDP), a ready-to-use appliance-style system based on the NVIDIA AI Data Platform reference design

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Nutanix AI Factory
Cisco
Steve McDowell

Nutanix: Full-Stack Agentic AI Platform for Enterprise AI Factories (GTC 2026)

At the recent NVIDIA GTC 2026 event, Nutanix announced Nutanix Agentic AI, a full-stack software solution designed to help enterprises build, operate, and govern AI factories at scale.

The announcement enhances Nutanix’s existing hybrid cloud platform — including its AHV hypervisor, Flow Virtual Networking, Nutanix Kubernetes Platform, and Nutanix Enterprise AI — with features specifically designed for the operational needs of production agentic AI workloads.

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Dell
Steve McDowell

HPE: AI Factory & Storage Advancements (GTC 2026)

At NVIDIA GTC 2026, HPE announced a broad expansion of its portfolio, including AI factory infrastructure, supercomputing platforms, and enterprise storage. These announcements collectively strengthen HPE’s role as a comprehensive NVIDIA-aligned infrastructure provider, extending the NVIDIA AI Computing by HPE portfolio with hardware based on the Vera Rubin and Blackwell GPU architectures, new CPU compute options, updated networking, and various software and services integrations.

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NetApp Logo
DDN
Steve McDowell

NetApp: Next-Generation EF-Series Arrays for AI & HPC (GTC 2026)

NetApp announced the new EF50 and EF80 all-flash block storage arrays, the latest generation of its EF-Series, at the recent NVIDIA GTC 2026. The systems replace the previous EF-Series generation with a purpose-built design aimed at AI model training, high-performance computing simulations, and high-throughput transactional databases.

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Abstract image representing cybersecurity
Cisco
Steve McDowell

Cisco: Secure AI Factory Expands to the Edge with Agentic Security (GTC 2026)

At NVIDIA GTC 2026, Cisco announced a significant expansion of its Cisco Secure AI Factory with NVIDIA, broadening its validated AI infrastructure architecture from centralized data centers to enterprise and service provider edge deployments. The announcement includes hardware-accelerated security, updated switching silicon, new Cisco Validated Designs (CVDs), and a formalized multi-agent reference architecture.

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Dell AI
Dell
Steve McDowell

Dell Technologies: AI Data Platform with NVIDIA (GTC 2026)

Dell Technologies announced a major expansion of its AI Data Platform at the recent NVIDIA GTC 2026 event. Dell’s AI Data Platform serves as the data foundation layer of its Dell AI Factory with NVIDIA. The announcement highlights three new architectural pillars: Data Orchestration Engine built on Dataloop, GPU-accelerated analytics embedded directly into the data layer, and
two new high-performance storage innovations, Lightning File System and Exascale Storage.

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NVIDIA STX
CoreWeave
Steve McDowell

NVIDIA STX & CMX: Infrastructure for AI Context Storage (GTC 2026)

NVIDIA announced its BlueField-4 STX reference architecture at GTC 2026, introducing a modular framework for deploying accelerated storage infrastructure optimized for agentic AI workloads. The architecture addresses a specific technical challenge: as AI systems evolve from single-turn interactions to complex, multi-step agentic workflows with context windows spanning millions of tokens, existing storage hierarchies struggle to efficiently manage the growing KV cache that stores an AI agent’s working memory.

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AI + Digital Transformation
Cisco
Steve McDowell

NVIDIA GTC 2026: Infrastructure Announcements

The focus at NVIDIA GTC 2026 was on developing a unified infrastructure model that vendors are now adopting. The industry has effectively reached a stage where NVIDIA sets the architectural standard, while partners compete on how well they implement it in enterprise and service-provider environments.

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