GPT-Synopsys: Frontier Intelligence to Revolutionize Chip Design

GPT-Synopsys: Frontier Intelligence to Revolutionize Chip Design news.synopsys.com

Companies form strategic partnership to dramatically advance and accelerate semiconductor innovation News Highlights: Companies sign multi-year agreement to collaborate as preferred partners to...

65 points•giuliomagnifico•about 3 hours ago•25 comments•

#revolutionize #gpt #design #chip #intelligence #synopsys #frontier #gpt synopsys

25 comments

fwlrabout 2 hours ago

    GPT-Synopsys brings together OpenAI frontier models with Synopsys' EDA technology and domain expertise, enabling the specialized model [to] directly operate Synopsys' tools. Engineers will delegate design objectives … with agents running tools, interpreting results, implementing changes, and iterating toward verified outcomes for engineer review.

“Agents will do all the engineering work. Engineers will delegate and review.” Lol, no, what the engineers are gonna do is get laid off.

DivingForGoldabout 1 hour ago

Exactly. How 'bout “economize” chip design by reducing / eliminating human chip designers ... Go figure.

petraabout 1 hour ago

Chips design is expensive. Partly because of engineering costs, partly because of manufacturing costs.

If costs go down enough,because of LLM's and possible manufacturing innovations, more chips will be designed, so maybe this will partially offset job loses.

jacquesmabout 1 hour ago

The wish granting machine won't need the engineers for that. You'll just end up paying for the devices.

bossyTeacher15 minutes ago

> more chips will be designed, so maybe this will partially offset job loses.

This is HN mentality. But it is not how it always works. The first thought isn't we can make more money tomorrow by building more faster. It is we can make more money today by laying off all the people that we don't need now. Short-termism is the rule.

p-e-wabout 2 hours ago

Most of them anyway, and the cutoff bar will continue to rise.

karlklossabout 2 hours ago

We just buried an ASIC design that was nearly finished. Reason: There was a deviation that would've needed a mask change, but because of AI chip demand, the manufacturer wanted so much money for it, that we said screw it.

So we now have AI powered chip design tools that make chip design cheaper, but because of AI, chip manufacturing has become so expensive, that we can't afford it anymore.

Nice.

teitoklienabout 1 hour ago

AI didn’t make chip manufacturing more expensive

Manufacturers choosing not to scale with demand or not being able to scale with demand

Is what constrained the supply.

Hopefully will be fixed within a decade , then it’s cool new stuff all the way.

imglorp30 minutes ago

Why aren't boring, old process ASICs isolated from this mess?

rfgplk24 minutes ago

Local manufacturing is the next open challenge in hardware. If a pizza can be baked locally, why not chips?

Muromec13 minutes ago

Pizza making smol machine, low precision, child baking big machine, trees expensive, can't have locally

anicepersonabout 1 hour ago

> I see you are using Cadence IP in your project, unfortunately this is not allowed per the terms and conditions and you will be reported to the authorities

Also : create proprietary locked down eda->no data to train models->models suck at it->reach out to ai lab to rl on it -> expect users to pay for eda and the model.

DivingForGoldabout 1 hour ago

... > I see you are using Cadence IP in your project, unfortunately this is not allowed per the terms and conditions and you will be reported to the authorities

EXACTLY, prepare to self deport immediately, push <proceed> to execute

joennlaeabout 2 hours ago

„The joint service offering will provide the bundled compute, model, and licenses, while ensuring customer-specific design data is protected.“

I am not sure if Nvidia want to send their chip designs to OpenAI.

polytelyabout 2 hours ago

its like a fox starting a chicken coop business

jhvkjhk30 minutes ago

Apparently SNPS share price gone up a little bit because of this. However, the rise didn't compensate their loss over the years. I keep wondering why EDA companies didn't get the hype like AI labs and Chip design companies.

diabllicseagull16 minutes ago

I remember the stock taking a beating after Kimi K3 created all that buzz about the open model designing chips that could run itself (even though the chip in question seemed small in today's standard of massive AI chips). It was only a matter of time before Synopsys released an offering like this. I can almost see the meeting where the C suite demanded working with an external partner over anything in-house they could build.

Why the overall market cap is smaller than both Synopsys and Ansys combined before the merger still beats me tho.

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