A scant three months ago, when Meta Platforms released the Llama 3 AI model in 8B and 70B versions, which correspond to the billions of parameters they can span, we asked the question we ask of every open source tool or platform since the dawn of Linux: Who’s going to profit from it and how are they going to do it? …
Taiwan Semiconductor Manufacturing Co already has a de facto monopoly – one that it has earned – when it comes to the manufacturing of datacenter compute engines. …
Everybody knows that companies, particularly hyperscalers and cloud builders but now increasingly enterprises hoping to leverage generative AI, are spending giant round bales of money on AI accelerators and related chips to create AI training and inference clusters. …
There have been rumors that either Arm Ltd or parent company and Japanese conglomerate SoftBank would buy British AI chip and system upstart – it is no longer a startup if it is eight years old – Graphcore for quite some time. …
Partner Content: AI used to feel like a far off possibility – a complex, expensive technology belonging to tech billionaires and giant corporations. …
You can build a software ecosystem if you have time. But sometimes, you want to speed things up, and then you have to pay to build that ecosystem out. …
SPONSORED POST: Now in its seventh year, the 2024 AI Hardware and Edge AI Summit will be held at the Signia by Hilton hotel in San Jose, CA between the 9th and 12th of September. …
This week is another major conference for a server OEM, and that must mean it is another time for an OEM to announce its tight partnership with AI compute engine juggernaut Nvidia. …
Updated: Here is something we don’t see much anymore when it comes to AI systems: list prices for the accelerators and the base motherboards that glue a bunch of them together into a shared compute complex. …
It has been more than a decade since Google figured out that it needed to control its own hardware fate when it came to the tensor processing that was going to be required to support machine learning algorithms. …
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