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.
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.
As the battle for AI market share continues, AMD’s recent acquisitions signal a strategic move toward optimizing both software and hardware for inference workloads and real-world AI deployment.
The HPE-owned platform combines unified observability, smart alert correlation, and automation to tackle hybrid IT complexity while also working with existing monitoring tools.
AIStor’s stateless, gateway-free design solves legacy storage issues, enabling high-performance object-native infrastructure for exabyte-scale AI and analytics workloads.
Amber Huffman and Jeff Andersen of Google join Allyson Klein to discuss the roadmap for OCP LOCK, post-quantum security, and how open ecosystems accelerate hardware trust and vendor adoption.
Selector AI is redefining network observability with AI-driven insights, smart tickets, and real-time analytics. This blog explores how their platform simplifies IT management and boosts efficiency.
With native block storage and Event Broker, VAST Data is transforming data management—delivering seamless AI performance, real-time analytics, and scalable solutions for finance, IoT, and cloud innovation.
As a delegate at Cloud Field Day 22, our own Allyson Klein kicks off her coverage of the event by discussing the top trends she’s following this week in Silicon Valley. Stay tuned!
In this blog, Keate Despain shares valuable insights for organizations navigating the AI era, exploring how a strong technology ecosystem and collaboration are key to spurring innovation to solve complex global challenges.
Discover how OCP’s Open Chiplet Economy is setting hardware and software standards to drive chiplet innovation, enabling scalable, modular solutions for AI and HPC growth.
The EU’s massive investment in AI gigafactories positions Europe as a global AI contender, amid rising competition from China's DeepSeek and the U.S.'s Stargate projects.
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.
Hedgehog CEO Marc Austin joins Data Insights to break down open-source, automated networking for AI clusters—cutting cost, avoiding lock-in, and keeping GPUs fed from training to inference.
From SC25 in St. Louis, Nebius shares how its neocloud, Token Factory PaaS, and supercomputer-class infrastructure are reshaping AI workloads, enterprise adoption, and efficiency at hyperscale.
Runpod head of engineering Brennen Smith joins a Data Insights episode to unpack GPU-dense clouds, hidden storage bottlenecks, and a “universal orchestrator” for long-running AI agents at scale.
Billions of customer interactions during peak seasons expose critical network bottlenecks, which is why critical infrastructure decisions must happen before you write a single line of code.
Recorded at #OCPSummit25, Allyson Klein and Jeniece Wnorowski sit down with Giga Computing’s Chen Lee to unpack GIGAPOD and GPM, DLC/immersion cooling, regional assembly, and the pivot to inference.
Durgesh Srivastava unpacks a data-loop approach that powers reliable edge inference, captures anomalies, and encodes technician know-how so robots weld, inspect, and recover like seasoned operators.