Show overview
In The Arena by TechArena has been publishing since 2022, and across the 4 years since has built a catalogue of 234 episodes. That works out to roughly 75 hours of audio in total. Releases follow a weekly cadence, with the show now in its 3rd season.
Episodes typically run ten to twenty minutes — most land between 14 min and 23 min — though episode length varies meaningfully from one episode to the next. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Technology show.
The show is actively publishing — the most recent episode landed 4 days ago, with 30 episodes already out so far this year. The busiest year was 2024, with 93 episodes published. Published by Allyson Klein.
From the publisher
In The Arena by TechArena is your source for authentic conversations with the leading innovators in technology. The show is hosted by long time industry insider Allyson Klein
Latest Episodes
View all 234 episodesPredictive Memory: How MEXT Turns Cheap Flash Into DRAM
AI in Biomedical Engineering: Maya Kalyan on Diagnostics
Dell Builds the Bridge Between Classical and Quantum Tech
From Nobel Physics to Modern Quantum with John Martinis & Nilesh Shah
From Xcelerated Compute: Cambium Capital on Practical Quantum
Microblink’s Radu Tudoran on AI-Driven Identity Fraud
Where AI Inference Hits the Memory Wall
Innovaccer’s Tapan Shah on Scaling Healthcare AI Safely
Betterworks: Turning AI Hype Into Enterprise SaaS at Scale
S3 Ep 72Solving the Internet’s Single Point of Failure: CDN Resilience
Cloud expert Venkata Gopi Kolla joins Allyson Klein to discuss the CDN "single point of failure" and a new IETF protocol for sub-second edge recovery and AI correctness. A must-listen for infrastructure leads.
S3 Ep 71Scaling Multilingual GenAI with Ishween Kaur
Ishween Kaur, Generative AI Lead at Salesforce, shares practical lessons on building multilingual AI systems, closing language gaps, and scaling with trust and real-world feedback.
S3 Ep 70Quantum Computing Comes of Age: How Fermilab Is Shaping the Future
Fermilab’s Silvia Zorzetti explains how quantum computing and sensing are evolving, where they outperform classical systems, and what’s next for the field.
S3 Ep 69How Hedgehog Brings Hyperscaler Networking to Enterprise AI
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.
S3 Ep 68How Rose-Hulman Modernized Its Data Center for Student Success
Rose-Hulman Institute of Technology shares how Azure Local, AVD, and GPU-powered infrastructure are transforming IT operations and enabling device-agnostic access to high-performance engineering software.
S3 Ep 67Nebius at SC25: Building the Neocloud for Enterprise AI
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.
S3 Ep 66Inside 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.
S3 Ep 65Wanjiku Kamau on Her Book: Out of the Loop, Into the Algorithm
Allyson Klein talks with author and Google/Intel alum Wanjiku Kamau on moving past AI skepticism, learning fast, and using new tools with intention—so readers start where they are and explore AI with hope.
S3 Ep 64Giga Computing on Rack-Scale AI: From Training to Inference
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.
S3 Ep 63RackRenew & Circularity: Remanufacture, Recertify, Redeploy
From #OCPSummit25, this Data Insights episode unpacks how RackRenew remanufactures OCP-compliant racks, servers, networking, power, and storage—turning hyperscaler discards into ready-to-deploy capacity.
S3 Ep 62Cornelis 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.