The Latest News in AI

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

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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NVIDIA DGX Cloud Gives CSPs And Their Customers Exactly What They Want: Fast AI, Fast

NVIDIA’s offering integrates the company’s best GPU hardware and software into AI Supercomputers of virtually any size in the cloud, enabling enterprises to build and deploy AI without infrastructure hassles. While some may confuse this as NVIDIA competing with cloud...

NVIDIA Launches Lovelace GPU, Cloud Services, Ships H100 GPUs, New Drive Thor, And ….

It’s impossible to convey the excitement of an NVIDIA CEO Jensen Huang keynote address at GTC, but here’s what caught my eye this week. NVIDIA made a slew of technology and customer announcements at the Fall GTC this year. Highlights included an H100 update, a new...

AI Is Reshaping Chip Design. But Where Will It End?

Using AI reduces design costs, improves yields and performance, and shortens time-to-market for better chips. Synopsys, Cadence Design Systems, and many hyperscal chip designers are now adopting generative AI capabilities to facilitate chip design. Think of this as...

As we said, Google is the Exception to the Rule!

The latest TPU and the upcoming Ironwood supercomputer were just the start Google is taking the next step in its quest to become a serious challenger to Nvidia GPUs. As I recently noted in my post on CSP silicon costs and failures, Google is the exception. Google...

Cerebras Systems And G42 Build 2nd Phase Of Joint AI Supercomputer

The only AI Hardware startup to realize revenue exceeding $100M has finished the first phase of Condor Galaxy 1 AI Supercomputer with partner G42 of the UAE. Other Cerebras customers are sharing their CS-2 results at Supercomputing ‘23, building momentum for the...

NVIDIA Continues To Evolve, From Chips To Software To AI Data Centers

Company’s Computex announcements also expand NVIDIA Certified program to DPU and Arm NVIDIA made several announcements this week in Taiwan, launching new software and services to help enterprises enter the age of AI. NVIDIA’s Manuvir Das, head of Enterprise Computing,...

Who Has The Fastest AI Inference, And Why Does It Matter?

A food fight erupted at the AI HW Summit earlier this year, where three companies all claimed to offer the fastest AI processing. All were faster than GPUs. Now Cerebras has claimed insanely fast AI performance with their latest software running on the company’s...

Synopsys Laps Competition With Second Generation AI

EDA Leader Synopsys paints path to Software-Designed Si Last year, EDA leader Synopsys announced it had developed an AI chip design instrument called DSO.ai that could produce faster, lower cost, and more power-efficient chips by using an AI to figure out how to best...

IBM Launches Quantum System Two And A Roadmap To Quantum Advantage

IBM announced its path to achieve over 100,000 qubits and over a billion circuit gates. When realized, IBM may create the world's first platform for universal computation in a quantum system. It sounds like Quantum Nirvana is finally in sight. Background Building a...

NeMo Megatron Reinforces NVIDIA AI Leadership In Large Language Models

LLMs are changing AI, and NVIDIA is changing its platform to excel in this fast-growing field Alberto Romero, Cambrian-AI Analyst, contributed to this story Transformer-based large language models (LLMs) are reshaping the AI landscape today. Since OpenAI established...