The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

My 2026 AI Predictions Have A Few Surprises

OK, I haven’t done this in a while; no excuse other than laziness. But here are ten concrete, defensible predictions for AI in 2026, with a bias toward things that materially matter for infra, enterprises, and policy. 1. Agentic AI moves from demos to staffed “digital...

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AI Training: “I’m Not Dead Yet!”

With so much focus on inference processing, it is easy to overlook the AI training market, which continues to drive gigawatts of AI computing capacity. The latest benchmarks show that the training of AI models, an immense investment in power and compute, continues to...

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Qualcomm Cloud AI100 Ultra: 4 Times The Performance For Large Models

We haven't heard from Qualcomm in a while regarding their power-efficient data center inference accelerator, which still holds the record for power efficiency, according to MLCommons benchmarking. Now Qualcomm has announced a new “Ultra” version that delivers four...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

BrainChip Readies 2nd Gen Platform For Power-Efficient Edge AI

The company’s event-based digital Neuromorphic IP can add efficient AI processing to SoCs. Edge AI is becoming a thing. Instead of using just an embedded microprocessor in edge applications and sending the data to a cloud for AI processing, many edge companies are...

Is Nvidia Competing With Its GPU Cloud Partners?

Nvidia recently announced two new cloud initiatives. First, the company announced DGX Cloud Lepton, designed to connect artificial intelligence developers with Nvidia’s wide network of cloud providers. Second, Nvidia announced a new cloud service, the Industrial AI...

AMD Launches New GPU And EPYC CPU Right Across NVIDIA’s Bow

The Instinct MI200 is nearly five times faster than the NVIDIA A100 for HPC, but is theoretically only 20% faster for AI. One year ago I complained that the newly announced AMD MI100 GPU was great for HPC, but inadequate for most AI workloads. Now AMD has announced...

Nvidia Leapfrogs Google And AMD With Vera Rubin

Its got to be tough being an Nvidia competitor. You think you are close to catching up, perhaps even taking the lead, and then, bang! Nvidia brings out yet another latest and greatest. This year brings perhaps the biggest generational change ever witnessed in Nvidia,...

Tenstorrent Shifts Leadership Roles

The Toronto-based startup is growing fast, swapping CEO and CTO roles, and laying out a compelling roadmap for AI and RISC-V. Tenstorrent, a Toronto-based startup who raised over $200M in venture funding at a $1B valuation in May, 2021, has now grown to over 280...

Welcome To 2024. It Promises To Be Quite The AI Ride!

2023 has been a fun year in AI, to say the least. OpenAI and ChatGPT changed nearly everything, and the AI revolution is just beginning. Nvidia will ship somewhere around 2 million H100-class GPUs in 2024, AMD is now shipping the MI300, and Intel Gaudi3 is coming...

Cadence Design Launches Two New Platforms For Massive Chip Designs

Cadence has updated its platforms that supports chip design teams, offering more than 2X more capacity and 1.5X faster performance than the previous generation and can support chips up to 48 billion gates. Designing and testing chips is constantly becoming more...

SiMa.ai Creates Drag-And-Drop Platform For Building AI Workflows

Assuming it is the software that enables or prevents the adoption of a new AI chip, a reasonable assumption, SiMa has created a new tool called Palette Edgematic to simplify AI solution creation greatly. And build demand for their silicon. As everyone says, “It’s the...