ai economy

Artificial Intelligence Artificial Intelligence 5 Key Takeaways from Jensen Huang’s GTC Keynote: The Rise of the AI ‘Token Factory’ Jensen Huang’s GTC 2026 keynote framed ...

From Awards Season to Everyday Creators: Aiarty Video Enhancer Helps Improve Video Quality Across Modern Workflows

Aiarty Video Enhancer brings AI-powered video upscaling, denoise, and restoration to improve video quality across ...
Eva Pautov on MSN

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Nora Fatehi song Sarke Chunar row: Cine worker body seeks action from I&B, censors US counterterror chief Joe Kent resigns over Trump’s Iran war, says he 'cannot in good conscience' support it MCC ...
Network World

Arrcus targets AI inference bottleneck with policy-aware network fabric

As AI workloads shift from centralized training to distributed inference, the network faces new demands around latency requirements, data sovereignty boundaries, model preferences, and power ...
VentureBeat

AI inference costs dropped up to 10x on Nvidia's Blackwell — but hardware is only half the equation

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 ...
TechCrunch

AI inference startup Modal Labs in talks to raise at $2.5B valuation, sources say

Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...
TechCrunch

Inference startup Inferact lands $150M to commercialize vLLM

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
Semiconductor Engineering

Four Architectural Opportunities for LLM Inference Hardware (Google)

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...
Computerworld

CES 2026: AI compute sees a shift from training to inference

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference. LAS VEGAS — Not so long ago — last year, let’s say — tech industry ...
SDxCentral

AI inferencing will define 2026, and the market's wide open

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...