AI
Highlights
Who’s Who in the AI Zoo?
Feeling overwhelmed by AI? You’re not alone. This new series cuts through the hype to explore practical tools, evolving trends, and smart strategies to help you navigate the AI ecosystem.
WEKA Unveils NeuralMesh for Microsecond AI Response
Purpose-built for agentic AI, WEKA’s NeuralMesh delivers microsecond data access, self-healing resilience, and exabyte-scale performance for the next generation of real-time AI workloads.
Hypertec and Solidigm Dive Into Liquid-Cooled AI Compute
From GTC to Data Center World, Hypertec and Solidigm are showcasing immersion-born infrastructure that’s purpose-built for high-density, sustainable AI and HPC workloads.
AMD Challenges Goliath with MI355, Doubles Down on Open Innovation
At Advancing AI, AMD unveils MI355 with 35× gen-over-gen gains and doubles down on open innovation – from ROCm 7 to Helios infrastructure – to challenge NVIDIA’s AI leadership.
Qualcomm to Acquire Alphawave Semi for $2.4B in Data Center Push
The deal marks a strategic move to bolster Qualcomm’s AI and custom silicon capabilities amid challenging competition and the potential start of a wave of AI silicon acquisitions.
WEKA and Nebius Unite to Supercharge AI Workloads with GPUaaS Powerhouse
A new partnership combines WEKA’s AI-native storage with Nebius’ GPUaaS platform to accelerate model training, inference, and innovation with microsecond latency and extreme scalability.
5 Key Considerations for Ethical AI Deployment
AI is transforming industries, but it also raises ethical challenges. This blog explores five key ethical considerations, from training data biases and social inequality to the environmental impact of AI models. Understanding these issues is vital for responsible AI deployment.
PhoenixNAP's Bare Metal Cloud Meets AI's Data Center Demands
Allyson Klein reflects on her chat with PhoenixNAP’s Ian McClarty, covering AI's impact on data centers, the advantages of bare metal cloud, and the push for sustainable high-performance computing.
Why a Self-Driving Car Might Run a “STOB” Sign: To ViT or Not To ViT
Automotive expert Robert Bielby compares Convolutional Neural Networks and Vision Transformers in self-driving cars, discussing tradeoffs between the need for training data and accuracy, as well as the emergence of hybrid models.
Recap Report: 2024 AI Hardware and Edge AI Summit
Check out our in-depth look at key takeaways from AI Hardware and Edge AI Summit, highlighting how advancements in AI infrastructure, acceleration, and connectivity are transforming the future of computing.
Alphawave Semi Advances with New Solutions, Chiplet Innovation
Gain insights from Alphawave's Letizia Guiliano on revolutionizing AI infrastructure through high-speed interconnects, chiplet innovation, and open standards.
OmniPath Taking on InfiniBand for AI Fabric Leadership
Lisa Spelman leads Cornelis Networks to challenge NVIDIA with Omni-Path, offering AI infrastructures superior scalability, and a competitive edge for future-proofing next-gen AI deployments.
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Podcasts
AI, Analytics, and Innovation: Insights from Unilever’s Arun Nandi
Arun Nandi of Unilever joins host Allyson Klein to discuss AI's role in modern data analytics, the importance of sustainable innovation, and the future of enterprise data architecture.
Uncovering the Future of AI Agents with Sema4
TechArena host Allyson Klein chats with Sema4.ai co-founder Antti Karjalainen about his vision for AI agents and how he sees these powerful tools surpassing even what current AI models deliver today.
Taboola Talks Re-Architecting the Marketing Landscape with AI - Data Insights Sponsored by Solidigm
TechArena host Allyson Klein and Solidigm’s Jeniece Wnorowski chat with Taboola Vice President of Information Technology and Cyber, Ariel Pisetzky, about how his company is reshaping the marketing landscape with AI infused customer engagement tools.
Exploring Requirements for AI with EY
TechArena host Allyson Klein chats with EY’s Global Innovation AI Officer, Rodrigo Madanes, about what he’s seeing from clients in their advancement with AI and what this means for the industry requirements for innovation.
Compute Requirements in the AI Era with Intel’s Lisa Spelman
TechArena host Allyson Klein chats with Intel’s Lisa Spelman about how compute requirements are changing for the AI era, where we are with broad enterprise adoption of AI, and how software, tools and standards are required to help implement solutions at scale.
The Demand for Memory Innovation to Fuel ML with Netflix
TechArena host Allyson Klein interviews Netflix’s Tejas Chopra about how Netflix’s recommendation engines require memory innovation across performance and efficiency in advance of his keynote at MemCon 2024 later this month.
Scaling AI and Biotech for Global Health Impact
In this episode of In the Arena, hear how cross-border collaboration, sustainability, and tech are shaping the future of patient care and innovation.
How Verge.io is Rethinking Compute, Storage & AI Readiness
Tune in to our latest episode of In the Arena to discover how Verge.io’s unified infrastructure platform simplifies IT management, boosts efficiency, & prepares data centers for the AI-driven future.
How AI-Optimized Storage is Eliminating Data Bottlenecks
Join us on Data Insights as Mark Klarzynski from PEAK:AIO explores how high-performance AI storage is driving innovation in conservation, healthcare, and edge computing for a sustainable future.
Unpacking AI Inference at the Edge with Untether AI
Untether AI's Bob Beachler explores the future of AI inference, from energy-efficient silicon to edge computing challenges, MLPerf benchmarks, and the evolving enterprise AI landscape.
AI-Era Computing Drives Innovation in Memory Interconnects
Explore how OCP’s Composable Memory Systems group tackles AI-driven challenges in memory bandwidth, latency, and scalability to optimize performance across modern data centers.
MLCommons’ Peter Mattson on the New AILuminate AI Safety Benchmark
In this podcast, MLCommons President Peter Mattson discusses their just-released AILuminate benchmark, AI safety, and how global collaboration is driving trust and innovation in AI deployment.
