AI
articles
Cerebras Soars with $1.1 B of Pre-IPO Investment
Backed by top U.S. investors, Cerebras gains $1.1B pre-IPO funding, boosting its AI vision, market traction, and challenge to NVIDIA with silicon-to-services expansion.
AI-Generated Code: Unlocking Speed – with Guardrails
TechArena Voice of Innovation Tannu Jiwnani explains how to blend GenAI-assisted coding with continuous threat modeling, automated validation, and expert review to accelerate work without compromise.
AI Infra Summit 2025: Agents, Utilization, and Innovation
From cloud to edge, agentic workflows are moving from pilots to production—reshaping compute, storage, and networks while spotlighting CPU control planes, GPU utilization, and congestion-free fabrics.
Dell Highlights Four Shifts Powering the AI Storage Revolution
Dell outlines how flash-first design, unified namespaces, and validated architectures are reshaping storage into a strategic enabler of enterprise AI success.
AI Benchmarking Hits New Heights with MLPerf Inference 5.1 Release
Three groundbreaking inference benchmarks debut reasoning models, speech recognition, and ultra-low latency scenarios as 27 organizations deliver record results.
Inside Arm’s Drive to Advance AI’s Data Center Transformation
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.
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.
AMD Doubles Down on Inference Efficiency with New Acquisitions
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.
OpsRamp Shows Unified IT Operations for Fast Incident Management
The HPE-owned platform combines unified observability, smart alert correlation, and automation to tackle hybrid IT complexity while also working with existing monitoring tools.
MinIO Redefines Object Storage Architecture for Exabyte Scale
AIStor’s stateless, gateway-free design solves legacy storage issues, enabling high-performance object-native infrastructure for exabyte-scale AI and analytics workloads.
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Podcasts
Inside Runpod’s GPU Cloud for Long-Running AI Agents
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.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
Inside Runpod’s GPU Cloud for Long-Running AI Agents
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.
Cornelis Networks & AMD on Scaling AI Without the Chaos
From CPU orchestration to scaling efficiency in networks, leaders reveal how to assess your use case, leverage existing infrastructure, and productize AI instead of just experimenting.
Cornelis and OCP Examine Why AI Infrastructure Must Evolve
From the OCP Global Summit, hear why 50% GPU utilization is a “civilization-level” problem, and why open standards are key to unlocking underutilized compute capacity.
How Axelera Scales Inference From Edge to Data Center
In the Arena: Allyson Klein with Axelera CMO Alexis Crowell on inference-first AI silicon, a customer-driven SDK, and what recent tapeouts reveal about the roadmap.
Data Insights: AI in Healthcare with Dr. Rohith Vangalla
In this episode of Data Insights, host Allyson Klein and co-host Jeniece Wnorowski sit down with Dr. Rohith Vangalla of Optum to discuss the future of AI in healthcare.
Metrum AI’s Steen Graham on Multi-Agent AI and Smarter Storage
From OCP Summit, Metrum AI CEO Steen Graham unpacks multi-agent infrastructure, SSD-accelerated RAG, and the memory-to-storage shift—plus a 2026 roadmap to boost GPU utilization, uptime, and time-to-value.
