The Latest News in AI

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

Can Groq Really Take On Nvidia?

The Silicon Valley startup has just raised an astonishing $640M in additional funding, and is valued at $2.8B. Have they captured AI Lightning in a bottle? Groq has announced a $640M Series D round at a valuation of $2.8B, led by BlackRock Private Equity Partners....

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NVIDIA Again Claims The Title For The Fastest AI; Competitors Disagree

Intel Habana Labs and Graphcore add scale and software optimizations, while Google skips this round, choosing to put a stake in the ground for half-trillion parameter models. Every six months, the AI hardware community gathers virtually to strut their hardware stuff...

Pearls Of Wisdom From Jensen Huang

A bunch of industry analyst got to spend 90 minutes with the CEO and co-founder of NVIDIA today to discuss his GTC announcements, and the future of the computing landscape. This was not an unusual occurrence. Jensen always makes himself available, and no analyst...

Qualcomm And Google Team Up For RISC-V Based Wearables

The two companies, both long-time partners of Arm, are extending their collaboration on wearables with a RISC-V Snapdragon Wearable platform to power the next-generation Wear OS solutions. “What about Arm?” you ask... Qualcomm and Google have announced they are...

New Cerebras Wafer-Scale Cluster Eliminates Months Of Painstaking Work To Build Massive Intelligence

The architecture eliminates the need to decompose large models for distributed computing to train: Push-button AI? The hottest trend in AI is the emergence of massive models such as Open AI’s GPT-3. These models are surprising even its developers with capabilities...

Ventana Micro Launches Server-Class RISC-V CPU, Challenging Arm

The company announces the industry’s highest performing RISC-V CPU for SOC designers building domain-specific chips. The semiconductor industry is on the verge of a major transition to chiplet-based designs and domain-specific solutions. And RISC-V, the open-source...

Enhanced Memory Grace Hopper Superchip Could Shift Demand To NVIDIA CPU And Away From X86

The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing. The AI landscape continues to change rapidly, and fast memory (HBM)...

IBM Research Says Analog AI Will Be 100X More Efficient. Yes, 100X.

IBM AI Hardware Research Center has delivered significant digital AI logic, and now turns their attention to solving AI problems in an entirely new way. Gary Fritz, Cambrian-AI Research Analyst, contributed to this article. AI is showing up in nearly every aspect of...

How AI Changes The Role Of Memory Companies And Their Value

As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory capacity, bandwidth and latency. Consequently, memory technology is...

NVIDIA Is Not A Chip Company. It’s A Platform Company.

NVIDIA extends its lead in accelerated computing, announcing platforms for the metaverse, healthcare, enterprise AI, autonomous vehicles, and data center security at the GTC Conference. NVIDIA, probably on its way to becoming a trillion dollar company, has been...

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...