Tech Threads: Weaving the Intelligent Future – Details, episodes & analysis

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Tech Threads: Weaving the Intelligent Future

Baya Systems

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Frequency: 1 episode/45d. Total Eps: 13

This podcast hosted by Baya Systems explores the cutting edge of technology, from AI acceleration to data movement and chiplet innovation. Each episode dives into groundbreaking advancements shaping the future of computing, featuring insights from industry experts on the trends and challenges defining the tech landscape. Tune in to stay ahead in the rapidly evolving world of technology.

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Data updated on 07/09/2026

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Score global : 68%

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The Memory Maze: Copper, Optics, and the Future of AI Data Movement

Season 1 · Episode 113

Tuesday, August 18, 2026 • Duration 44:06

As AI models grow larger and more autonomous, every query requires extraordinary volumes of data to move quickly between memory and compute, making data movement one of the defining challenges for next-generation AI infrastructure.
In this episode of Tech Threads, Nandan Nayampally speaks with Srujan Linga, CEO and co-founder of Kandou AI, about why the industry’s so-called “memory wall” is actually a multidimensional “memory maze,” shaped by different requirements for bandwidth, latency and capacity.
They explore the limitations of relying exclusively on high-bandwidth memory, the untapped potential of copper interconnects, and how technologies such as Chord Signaling and Copper MIMO can increase bandwidth while reducing power and extending reach. The conversation also examines where copper and optics can complement one another, how advanced interconnects could turn an entire PCB into a larger multi-chip system, and why the economics and scalability of AI infrastructure must be considered alongside raw performance.
The result is a system-level perspective on what it will take to build more efficient, scalable and accessible AI infrastructure.

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Chiplets, RISC-V, and Europe's AI Silicon Ambition

Season 1 · Episode 112

Tuesday, July 28, 2026 • Duration 43:59

Europe has the technical talent and research base to compete in advanced semiconductor design. Turning that into globally competitive AI and HPC systems takes more than investment. It needs scalable architectures, open ecosystems, and real collaboration across the supply chain.
In this episode of Tech Threads, Baya’s CCO, Nandan Nayampally talks with Cesc Guim, CEO of Openchip, about building next-generation processors and computing platforms in Europe, why chiplet-based design is becoming central to scalable, specialized architectures, and how RISC-V opens up flexibility that fixed-ISA approaches can't match.
They also dig into the hardest problem in modern system design: moving data efficiently between processors, accelerators, memory, and chiplets. At scale, performance depends less on adding compute and more on getting the interconnect right: bandwidth, latency, and efficiency for demanding AI workloads.
Cesc also shares his take on the challenges and opportunities and the thrill of building a semiconductor company in Europe, forming the right technology partnerships, and turning regional ambition into products that compete globally.
In this episode:
• How Openchip is approaching AI and HPC system design
• Why chiplets are becoming central to scalable, specialized architectures
• Where RISC-V fits in enabling open, differentiated designs
• Why interconnect performance is the bottleneck for AI system efficiency
• How partnerships, especially with critical pieces like Baya’s IP, cut complexity, risk, and time-to-market
• What Europe needs to convert semiconductor investment into competitive products

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Breaking the Memory Wall: How New Memory Architectures are Reshaping AI Inference

Season 1 · Episode 111

Tuesday, June 16, 2026 • Duration 39:09

In this episode of Tech Threads: Weaving the Intelligent Future, Baya Systems’ Nandan Nayampally sits down with Charlie Cheng, founder and CEO of TC Lab, for an in-depth conversation on the memory wall and why it has become one of the defining bottlenecks in AI infrastructure. While memory constraints have existed for decades, AI inference is bringing the issue into sharper focus by turning memory bandwidth into a direct driver of user experience, system performance, and data center economics.

Charlie shares his perspective on the industry’s shift toward alternative AI architectures, from high-bandwidth memory and SRAM-based approaches to emerging 3D memory technologies and hybrid-bonded architectures that bring memory much closer to compute. He explains why inference workloads, especially token generation and KV cache access, can quickly become bandwidth-bound, and why solving that challenge requires rethinking the relationship between compute, memory, packaging, and on-chip data movement.

The discussion also explores what happens when memory bottlenecks are reduced or removed. As more bandwidth becomes available to AI accelerators, the pressure shifts to the rest of the system, including networks-on-chip, chiplet fabrics, and data movement architectures. For companies building next-generation AI chips, hyperscale infrastructure, autonomous systems, and edge inference platforms, this creates both a challenge and an opportunity: the need for more flexible, scalable, and software-defined approaches to moving data efficiently across increasingly complex systems.

Tune in for an expert look at why the future of AI performance depends as much on memory innovation and data movement as it does on compute, and how new architectures could help unlock faster, more efficient, and more scalable AI systems.

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Beyond the CPU vs GPU War: Rethinking AI Compute at the System Level

Season 1 · Episode 10

Tuesday, April 28, 2026 • Duration 49:11

In this episode of Tech Threads, Nandan Nayampally, Baya Systems CCO, sits down with Ian Ferguson, Vice President of Vertical Markets and Business Development at SiFive, to unpack one of the most important shifts happening in modern computing: AI is no longer just about scaling compute, it’s about orchestrating complexity.

As architectures fragment across accelerators, chiplets, and custom silicon, the real challenge is no longer building faster chips. it’s turning all of these elements into a cohesive, high-performance system.

This conversation explores why the industry is moving beyond the traditional “CPU vs GPU” narrative and toward a system-level approach where performance is defined by how effectively compute, memory, interconnect and software work together.

From the growing momentum behind RISC-V to the rise of heterogeneous compute environments, the discussion highlights a clear trend: the future won’t be defined by a single dominant architecture, but by optimized combinations of technologies tailored to specific workloads.

That shift introduces a new layer of complexity.

Key themes explored in this episode include:
- Why data movement is emerging as the primary constraint in AI systems
- How efficiency metrics like “tokens per dollar” are reshaping design priorities
- The shift toward purpose-built architectures across data center, automotive, and edge applications
- The role of open ecosystems and interoperability in accelerating innovation
- Why competitive advantage is shifting from individual components to full system design

If you’re interested in where AI is headed, this is a must-watch conversation on the forces shaping the future of compute and what it takes to stay ahead.

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Inside the AI Bottleneck: Data Movement, Chiplets, and System Scaling

Season 1 · Episode 109

Friday, March 27, 2026 • Duration 54:15

For the last decade AI has been driven by one thing, more compute: bigger models, more accelerators, higher throughput.

But as NVIDIA’s Jensen Huang recently highlighted at GTC, the industry is hitting a different kind of wall, one that hasn’t received nearly as much attention.

The real constraint is no longer just compute. It’s data movement.

To its credit, Nvidia has pushed this frontier with innovations like NVLink Fusion, and continued investment in connectivity AI dataflow architectures. But the challenge is bigger than any one company.

As AI systems scale to hundreds - and even thousands - of processors, performance is increasingly defined by the ability to efficiently move, synchronize, and manage data across increasingly distributed architectures that can orchestrate data across chiplets, nodes, and entire racks.

In this episode of Tech Threads, we bring together a panel of deeply experienced technologists, architects and leaders from companies like Intel, Arm, Altera, Texas Instruments, and Arteris - individuals who have helped shape modern compute, interconnect standards, and system architecture.

Together they explore what is really changing beneath the surface: why traditional scaling approaches are breaking down, how coherent interconnects and network-on-chip architectures are evolving, and why system-level thinking is becoming essential.

They also dive into the growing complexity introduced by chiplet-based designs, heterogeneous compute, and distributed memory systems and what it takes to maintain performance, efficiency, and programmability at scale.

This is not just a technology shift, it’s an architectural reset.

If you’re building or thinking about next-generation AI systems, this conversation gets to the heart of what matters next.

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From Arduino to AI Infrastructure: Scaling the Next Wave of Computingl

Season 1 · Episode 108

Wednesday, January 21, 2026 • Duration 43:20

What do Arduino, IoT, edge AI, and Nvidia-era data centers have in common? They all depend on ecosystems: people, platforms, and momentum.
In this episode, Sander Arts joins Baya’s Chief Commercial Officer and Tech Threads host Nandan Nayampally for a wide-ranging, candid conversation on how breakthrough technology actually scales.
Sander brings a rare operator’s perspective shaped by 25+ years scaling global technology companies across semiconductors, enterprise software, and AI. As the founder of Orange Tulip Consultancy, he serves as a Fractional CMO and growth advisor, helping leadership teams turn deep technology into real-world adoption.
Together, Nandan and Sander explore how communities, developer access, and platform ecosystems turn deep technology into real-world adoption, and why timing and openness can be just as critical as technical performance.
The discussion moves from the maker-era lessons of Arduino and IoT to today’s AI infrastructure boom, unpacking why scaling “long-tail” customers is both an opportunity and an operational challenge, and how edge AI and data center markets are evolving in parallel. They also debate the art of “opening the kimono,” how standardization and middleware shape adoption, and why capital intensity and speed often determine whether innovation stays local or becomes global.
They close by looking ahead at emerging trends like robotics, neo-cloud architectures, quantum with real customers, and the networking backbone powering AI’s future, and how these shifts intersect with Baya’s view of increasingly complex, software-driven systems.

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The Architecture of "Open" Intelligence

Season 1 · Episode 107

Tuesday, October 14, 2025 • Duration 44:26

In this episode of TechThreads: Weaving the Intelligent Future, legendary chip architect Jim Keller joins Nandan Nayampally, Baya Systems’ Chief Commercial Officer, to explore how openness, modularity, and simplicity are redefining the architecture of intelligence.

From his early work on Apple’s A4 through A7 processors to today’s AI-driven computing revolution, Jim shares how every leap in performance has come from breaking complexity down into composable, modular layers. Referencing The Systems Bible, he explains why “you can’t fix broken complicated systems”, and why the only path forward is to design simpler components that can scale and evolve together.

The conversation spans:
- The AI paradigm shift. Why traditional compute models no longer scale.
- How data movement, not just compute, has become the new frontier.
- The rise of chiplets and software-driven fabrics for scalable design.
- The power of open ecosystems like RISC-V and OCA to democratize AI innovation.
- Building a path toward sovereign and collaborative compute platforms worldwide.

Listen as Jim Keller unpacks the engineering philosophy behind building open, intelligent systems and what it means for the future of AI and computing at scale.

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AI from Edge to Cloud: Hype vs Reality

Season 1 · Episode 106

Thursday, August 14, 2025 • Duration 47:53

In this episode of Tech Threads, Nandan Nayampally sits down with Sally Ward-Foxton (EE Times) and Dr. Ian Cutress (More Than Moore) for an unfiltered look at the state of AI, from the far edge to hyperscale data centers.

Ahead of the recording, we asked our LinkedIn followers to weigh in on some of the biggest questions in AI today, from bottlenecks in system design to the future of GPUs. Those poll results are revealed and discussed in the episode, bringing your insights directly into the conversation.

The discussion covers where the real bottlenecks lie in AI system design, whether “AI at the edge” is living up to the hype, and if GPUs will continue to dominate or give way to new architectures. With insights on hardware-software co-design, open vs proprietary ecosystems, and the realities of scaling AI infrastructure, this episode blends deep technical perspective with candid industry observations.

If you care about AI performance, power efficiency, and what’s next in compute architecture, this is a discussion you won’t want to miss.

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Edge AI Revolution: Scaling Intelligence from the Network Edge to the Data Center

Season 1 · Episode 105

Tuesday, July 15, 2025 • Duration 39:56

In this episode of Tech Threads: Weaving the Intelligent Future, Baya Systems' CCO Nandan Nayampally welcomes Fabrizio Del Maffeo, founder and CEO of Axelera AI, one of Europe’s most promising AI semiconductor startups. The conversation opens with a sharp look at the growing shift from cloud to edge AI, exploring the power, cost, latency constraints, and more importantly, the regional and use-case considerations that are reshaping how and where intelligence is deployed.
The discussion covers strategies for deploying AI at the network edge, adapting to rapidly evolving workloads, and leveraging digital in-memory computing to enable low-power, high-throughput inference acceleration. It also delves into the future of chiplet-based design, the role of open and programmable hardware, and broader efforts to democratize compute. With shared perspectives on “scale within” and scalable system architectures, this episode offers a compelling view into the future of distributed AI.

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Beyond the Bottlenecks: A Vision for Intelligent Systems

Season 1 · Episode 4

Friday, June 13, 2025 • Duration 44:12

In this episode of Tech Threads: Weaving the Intelligent Future, host Nandan Nayampally welcomes Rochan Sankar, AI infrastructure pioneer and founder of Enfabrica, for a deep dive into the next frontier of intelligent computing. Together, they explore one of the most critical and often overlooked challenges in AI: data movement, and its impact at every level from cloud to end device. The discussion explores new system architecture, key’s to scalability, optical interconnects, chiplet innovation and impacts, and a whole lot more. From startup lessons to bold predictions, this conversation delivers candid insights and forward-looking perspectives on what it will take to build truly scalable AI systems.

Whether you're an engineer, architect, or simply curious about the technologies shaping tomorrow’s computing landscape, this episode delivers both substance and inspiration. Listen in to discover what’s redefining performance at the infrastructure layer—and what’s coming next.

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Tech Threads: Weaving the Intelligent Future – Details, episodes & analysis

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Tech Threads: Weaving the Intelligent Future – Details, episodes & analysis

Podcast details

Recent rankings

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