The unbridled hype of the mid-2020s is finally colliding with the structural and infrastructure limits of 2026.

Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...

ElastixAI solves the systemic inefficiencies of GenAI inference through innovative software-ML-hardware co-design, delivering the next generation of scalable, sustainable AI. The founding team brings ...

For most startups or independent developers, the cost of renting an NVIDIA H100 GPU in the cloud is now over $2 to $4 per hour, with waitlists that stretch ...

We talk AI chips, power, and startups with June Paik, CEO of FuriosaAI ...

Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x ...

How a $20 billion bet turned Groq into Nvidia's inference spearhead Nvidia has put a price tag of about $20 billion on the idea that ultra fast, low latency inference is the next frontier of AI ...

Stanford's 2025 AI Index shows inference costs reshaping enterprise AI budgets as training expenses climb and returns remain limited.

Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ...

With that, the AI industry is entering a “new and potentially much larger phase: AI inference,” explains an article on the Morgan Stanley blog. They characterize this phase by widespread AI model ...

The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...