Ryan Stevens
Latest from Ryan Stevens
Nova Forge aims to close AI’s domain knowledge gap with customizable frontier models
Artificial intelligence is maturing into a new phase — one powered by customizable frontier models built for real-world domain expertise. Look no further for evidence of this shift than with Nova, Amazon Web Services Inc.’s in-house family of frontier AI models, which saw multiple updates rolled out on Tuesday. But to best understand the motivation ...
AWS bets on S3 Vectors as AI agents reshape the demands of storage
Agents powered by artificial intelligence are evolving into systems that depend on richer context and scalable data access, driving demand for technologies such as S3 Vectors, a native vector search capability. It may still be early in the agent era, but this is the first year that real, productive work has started to happen, according to ...
Three insights you may have missed from theCUBE’s coverage of the QAD Champions of Manufacturing event
Modern manufacturing is moving away from pure automation and toward something far more interesting: a factory floor where artificial intelligence works alongside people. Instead of just speeding up machines, companies are using intelligent systems to sharpen human judgment on the line and in the boardroom. That’s where the next wave of productivity — and competitive ...
Cool heads in a hot market: Behind the partnerships powering the liquid cooling supply chain
The shift toward liquid cooling is heating up as data centers confront the limits of traditional air-based designs. Growing supply-chain pressures and a need for tighter collaboration are already changing how operators prepare liquid cooling plumbing and supporting systems to scale reliably. As air gives way to liquid systems, the engineering details shaping this shift ...
Longer context, faster answers: Why smarter memory handling is central to next-gen AI systems
Artificial intelligence and high-performance computing are blending into a single ecosystem where integrated, co-designed infrastructure and smarter memory handling are essential. As systems scale, the focus is shifting toward architectures that reduce latency and make more efficient use of accelerated compute. Graphics processing unit utilization has emerged as a central focus in large-scale AI deployments, ...
Boom, not bust: How DDN keeps GPUs fed in the era of the AI factory
Whether it’s training large-scale artificial intelligence models or building applications that implement AI in financial services, the success of these and other AI-driven initiatives depends on the ability to store, move and process massive volumes of data at extreme speeds. A major challenge to achieving this performance is that today’s graphics processing units are now ...
The AI race heats up as liquid cooling becomes a critical frontline
The heat is on for artificial intelligence. As high-density processors get hotter than ever before to meet rising demands, AI data center cooling risks becoming a bottleneck for innovation. It has become clear that traditional cooling systems are no match for the new generation of AI chips, leading the industry to scramble to come up ...
From chaos to control: How TrinityX tames HPC clusters with a click-and-run GUI
Artificial intelligence is rewiring the high-performance computing space, with HPC cluster management getting a usability overhaul as organizations demand simpler operations that don’t come at the cost of capacity. Teams want the flexibility of open source, the convenience of a graphical user interface and the assurance that core services — provisioning, scheduling, monitoring and storage ...
AI is becoming a key driving force behind successful ITSM implementations
With the advent of artificial intelligence, information technology service management is experiencing a refresh. Achieving successful ITSM implementations has always hinged on the ability to establish consistent, repeatable approaches to managing IT incidents — but complexity regularly leads to lengthy timelines and projects that run over budget. But the real drag on ITSM success isn’t ...
Crushing the cost curve: Enterprises adopt new strategies for efficient AI inference at scale
Artificial intelligence demands are forcing companies to rethink chip design from the ground up. As organizations grapple with the exorbitant costs of high-bandwidth memory required for modern workloads, the architectural approach to achieving AI inference at scale is undergoing a radical transformation. While the initial phase of the AI boom focused on securing enough graphics ...






