Three groundbreaking inference benchmarks debut reasoning models, speech recognition, and ultra-low latency scenarios as 27 organizations deliver record results.
As AI fuels a $7 trillion-dollar infrastructure boom, Arm’s Mohamed Awad reveals how efficiency, custom silicon, and ecosystem-first design are reshaping hyperscalers and powering the gigawatt era.
CEO Lisa Spelman explains how tackling hidden inefficiencies in AI infrastructure can drive enterprise adoption, boost performance, and spark a new wave of innovation.
New Synopsys.ai Copilot capabilities deliver 30% faster engineer onboarding and 35% productivity gains, while Microsoft partnership reveals autonomous design agents on the horizon.
As AI drives power demands sky-high, hyperscale leaders share opportunities, obstacles, and the urgent path forward for immersion cooling adoption.
MLCommons launches MLPerf Automotive v0.5, the first standardized benchmark suite to measure real-world AI performance in safety-critical automotive applications.
From predicting sepsis before symptoms appear to enabling rural clinics to make specialist-level diagnoses, a privacy-first approach to AI in health care promises to transform lives.
PowerScale delivers unmatched performance and scale for AI-driven transformation, while 122TB drives reshape enterprise infrastructure, proving storage is AI’s competitive edge in today’s data era.
From Intel’s layoffs to stealth automation, AI is reshaping work at a pace that outstrips human adaptation—driving record stress, uneven gains, and a scramble to reskill before the next downturn hits.
Allyson Klein and Robert Blum of Lightwave Logic unpack how electro-optic polymers, paired with silicon photonics, lower power and boost density on the road to 400G-per-lane optics— with a 2027 volume ramp in sight.
From federated learning and zero-trust to confidential computing, Dr. Rohith Vangalla shares a practitioner’s playbook for explainable, scalable AI that moves healthcare from reactive to proactive.
Permission Agent turns user-approved signals into auditable datasets—paying contributors in $ASK—so teams can train and personalize AI with verifiable consent and enforceable revocation.
Sean Lie of Cerebras Systems shares insights on cutting-edge AI hardware, including their game-changing wafer-scale chips, Llama model performance, and innovations in inference and efficiency.
Lisa Spelman, CEO of Cornelis Networks, discusses the future of AI scale-out, Omni-Path architecture, and how their innovative solutions drive performance, scalability, and interoperability in data centers.
Join Sascha Buehrle of Uptime Industries as he reveals how Lemony AI offers scalable, secure, on-premise solutions, speeding adoption of genAI.
Mark Wade, CEO of Ayar Labs, explains how optical I/O technology is enhancing AI infrastructure, improving data movement, reducing bottlenecks, and driving efficiency in large-scale AI systems.
Neeraj Kumar, Chief Data Scientist at PNNL, discusses AI's role in scientific discovery, energy-efficient computing, and collaboration with Micron to advance memory systems for AI and high-performance computing.
Guest Gayathri “G” Radhakrishnan, Partner at Hitachi Ventures, joins host Allyson Klein on the eve of the AIHW and Edge Summit to discuss innovation in the AI space, future adoption of AI, and more.
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.
In this episode, Eric Kavanagh anticipates AI's evolving role in enterprise for 2025. He explores practical applications, the challenges of generative AI, future advancements in co-pilots and agents, and more.
Peter Dueben of European Centre for Medium-Range Weather Forecasts explores the role of HPC and AI in advancing weather modeling, tackling climate challenges, and scaling predictions to the kilometer level.
David Kanter discusses MLCommons' role in setting benchmarks for AI performance, fostering industry-wide collaboration, and driving advancements in machine learning capabilities.
Join Allyson Klein and Jeniece Wnorowski in this episode of Data Insights as they discuss key takeaways from the 2024 OCP Summit with Scott Shadley, focusing on AI advancements and storage innovations.
In this episode of Data Insights by Solidigm, Ravi Kuppuswamy of AMD unpacks the company’s innovations in data center computing and how they adapt to AI demands while supporting traditional workloads.