The next AI frontier: AI inference for less than $0.002 per query

Inference is rapidly emerging as the next major frontier in artificial intelligence (AI). Historically, the AI development and deployment focus has been overwhelmingly on training with approximately 80% of compute resources dedicated to it and only 20% to inference. That balance is shifting fast. Within the next two years, the ratio is expected to reverse … Read more

11 Myths About AI Processors

The meteoric rise of NVIDIA’s GPU technology in accelerating AI has captivated the world and, in the process, given rise to persistent myths. This article tackles 11 of the most common misconceptions about AI processors. Artificial intelligence (AI) has taken the world by storm and integration of AI accelerators and processors into applications is becoming … Read more

Silicon Valley, à la Française

Since the fall of the Roman Empire, France has played a defining role in shaping Western civilization. In the 9th century, Charlemagne—a Frank—united much of Europe under one rule, leaving behind a legacy so profound he is still remembered as the “Father of Europe.” While Italy ignited the Renaissance, it was 16th-century France that carried … Read more

The Journey of Interface Protocols: Adoption and Validation of Interface Protocols – Part 2 of 2

Part 2 examines the transformation of the interface protocols industry from a fragmented market of numerous specialized vendors to a more consolidated one dominated by a few major solutions providers as driven by the increasing complexity of modern protocols. It highlights the importance of rigorous validation of interface protocols and underscores the pivotal role of … Read more

The Journey of Interface Protocols: The Evolution of Interface Protocols – Part 1 of 2

Key Takeaways Prolog – Interface Protocols: Achilles’ Heels in Today’s State-of-the-art SOCs June 30 was only a week away when Varun had a sleepless night. The call from the datacenter manager the evening before alerted him on a potential problem with the training of a new Generative AI model. Six months earlier Varun’s employer installed the … Read more

Beyond the Memory Wall: Unleashing Bandwidth and Crushing Latency

Key Takeaways VSORA AI Processor Raises $46 Million to Fast-Track Silicon Development We stand on the cusp of an era defined by ubiquitous intelligence—a stone’s throw from a tidal wave of AI-powered products underpinned by next-generation silicon. Realizing that future demands nothing less than a fundamental rethink of how we design semiconductors and architect computers. … Read more

SNUG 2025: A Watershed Moment for EDA – Part 2

Key Takeaways At this year’s SNUG (Synopsys Users Group) conference, Richard Ho, Head of Hardware, OpenAI, delivered the second keynote, titled “Scaling Compute for the Age of Intelligence.” In his presentation, Richard guided the audience through the transformative trends and implications of the intelligence era now unfolding before our eyes. Recapping the current state of AI … Read more

VSORA Raises $46 Million to Bring World’s Most Powerful AI Inference Chip to Market

VSORA, a French innovator and the only European provider of ultra-high-performance artificial intelligence (AI) inference chips, today announced that it has successfully raised $46 million in a new fundraising round. The investment was led by Otium and a French family office with additional participation from Omnes Capital, Adélie Capital and co-financing from the European Innovation … Read more

SNUG 2025: A Watershed Moment for EDA – Part 1

Key Takeaways Hot on the heels of DVConUS 2025, the 35th annual Synopsys User Group (SNUG) Conference made its mark as a defining moment in the evolution of Synopsys—and the broader electronic design automation (EDA) industry. This year’s milestone event not only underscored Synopsys’ continued innovation but also affirmed the vision and direction of its … Read more

The Rise of LLM Inference at the Edge: Innovations Shaping the Future

Over the past decade or so, the evolution of edge AI inference has mirrored advancements in hardware, software, and AI model optimization. The origins of AI inference at the edge can be traced back to the early days of embedded computing, when limited processing power made AI development impractical. Before AI models became widespread, edge … Read more