
Ampere
15
MENTIONS
10
EPISODES
9
PODCASTS
Search complete. 15 mentions across 10 episodes found for "Ampere".
Oct 28, 2026
AI Startups Locked Out of Compute in 6 Months | Evan Conrad
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5:47Evan ConradGUEST
That's why it's happening.
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5:49speaker_1HOST
What do you mean by the world's compute is sold out? Is there no way if you're a startup to get old Hopper or Ampere NVIDIA chips if you want them? Do you have to buy 5090s on eBay or something?
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6:02Evan ConradGUEST
You can still get some Hopper and you can still get some Ampere.
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6:06Evan ConradGUEST
But if you want Blackwells, yeah, they're sold out.
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6:08Evan ConradGUEST
In part because the Blackwells weren't made until you ordered them.
“ChinAI #379: “Chinese AI only makes trash TV?”” by Jeffrey Ding
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7:29Jeffrey DingNARRATOR
Jeff is an assistant professor of political science at George Washington University.
J
7:33Jeffrey DingNARRATOR
Check out the archive of all past issues here and please subscribe here to support China AI under a Guardian-slash-Wikipedia-style tipping model.
J
7:40Jeffrey DingNARRATOR
Everyone gets the same content but those who can pay for a subscription will support access for all.
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7:46Jeffrey DingNARRATOR
Any suggestions or feedback? Let me know at xinainewsletter at gmail.com or on Twitter at at jjding99.
384. RTX 5080 EOL Leak, Nvidia RTX Spark DOA, AMD RDNA 5 2027, Intel Nova Lake Specs
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42:14TomHOST
performance.
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42:14TomHOST
Ampere did not double performance for SM compared to Turing.
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42:18TomHOST
But I think that gets you to, yeah, even decent premium laptops for $1,300 without a GPU.
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42:25TomHOST
These might just give you PS5 or better gaming performance.
9 MINS LATER
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51:27TomHOST
For years, AMD's greatest problem was supply.
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51:29TomHOST
Flushed with AI cash after years of preparation, it's about time AMD took seriously taking real market share with increased production.
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51:37TomHOST
Really, that's the only thing I think that stopped RDNA2 from taking market share from Ampere is because they used the cheap Samsung Note and NVIDIA was able to just spit out GPUs AMD wouldn't.
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51:46TomHOST
And so, again, you know, the people that say, oh, this is for AI, 80 zero can be used for AI or gaming.
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Unknown podcast
Serving DeepSeek-V4.1-Flash on Your Own GPU
Oct 12 · 1 Mention
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8:30Herman PoppleberryHOST
TensorRT LLM is NVIDIA only, full stop.
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8:33Herman PoppleberryHOST
The support matrix is Blackwell, Hopper, Ada Lovelace, Ampere, Grace Hopper, and GB200 NVL 72.
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8:41Herman PoppleberryHOST
Anything not on that list gets community support only.
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8:44Herman PoppleberryHOST
There's no AMD path, no TPU path, no Trainium path, not a weak path.
The Economy of Giveaway Hardware - Does Signing Matter
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14:52Dennis GarciaHOST
It was a good thing you brought that up because I was building the workstation and I wrote a couple articles about that.
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14:58Dennis GarciaHOST
I originally bought 3090s because they're an Ampere edition, so they supported all the latest technology.
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15:05Dennis GarciaHOST
They were very, very fast and they had 24 gigs of onboard memory.
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15:08Dennis GarciaHOST
That's the 3090.
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17:07Darren McKayGUEST
Yeah,
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17:08Dennis GarciaHOST
well, EVGA exited the NVIDIA market recently, um around the 30 series generation after that then you know nvidia kind of pushed them out for various reasons so the last popular kingpin card is the 3090. we found one listed here in australia of all places RTX 39, 24 gigabytes memory.
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17:31Dennis GarciaHOST
This is an Ampere generation card.
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17:35Dennis GarciaHOST
$3,367.94 for some reason.
“Proof of useful work for verifying AI treaties” by Ondřej_Kubů 🔸
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27:04Type 3 AudioNARRATOR
Since Nvidia does not document these details, the model was reverse engineered by black box tests.
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27:11Type 3 AudioNARRATOR
It reproduces tensor core products bit for bit on a CPU for the Ampere, Ada Lovelace, and Hopper generations, and the white paper adds Blackwell.
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27:20Type 3 AudioNARRATOR
As far as I know, no similar model exists for TPUs, Trainium or Maia.
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27:26Type 3 AudioNARRATOR
A treaty has to cover these chips as well, so every new generation would require either vendor cooperation or reverse engineering in the style of Hawkeye.
S7 | Ep 27 | The Secret to Enterprise AI Success according to HP with Tom Sadler, Data Science and AI Solutions Lead, HP
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8:45Tom SadlerGUEST
That's naturally occurring.
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8:46Tom SadlerGUEST
But, you know, we look at, since I joined five years ago, we had, we had Ampere, ADA, Blackwell.
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8:53Tom SadlerGUEST
Blackwell is four times that of Ampere.
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8:55Tom SadlerGUEST
So in five years, we've gone up four times the power.
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8:58Tom SadlerGUEST
Like graphics cards have doubled in size.
The Economy Is Slowing—But AI Is Booming: What Wall Street Does Next
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6:40Rhys WilliamsGUEST
And the reason is, at least as of right now, whenever you bring a data center on, it fills up immediately.
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6:46Rhys WilliamsGUEST
And by the way, the four generations ago NVIDIA chip, which is called the Ampere, it was the one before the Hopper.
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6:54Rhys WilliamsGUEST
The current one is Blackwell.
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6:56Rhys WilliamsGUEST
They're about to go with Vero Rubin.
Something Always Breaks: 5% Yields, AI Billions & Wall Street’s Next Big Risk | Wayve Wire
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24:06Rhys WilliamsGUEST
'Cause you're seeing that by the spot prices of what you can charge.
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24:10Rhys WilliamsGUEST
So like, you know, four year, f- f- four generations ago, Nvidia chips, they're called Ampere, are still getting, uh, tremendous rates.
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24:20Rhys WilliamsGUEST
So, so in other words, you, you don't have that issue.
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24:23Rhys WilliamsGUEST
The, it, you have a, a constrained environment and a, a compute, a compute strained environment.
How Far Will AI Inference Costs Fall
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15:41Michael KimballHOST
While NVIDIA owned figures for eight-bit floating point on its Hopper architecture claim two to two times higher token generation than sixteen-bit precision on the same chip.
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15:51Michael KimballHOST
On the hardware generation side, the Ampere to Hopper transition improved peak sixteen-bit tensor throughput by roughly three point two times and memory bandwidth by about sixty-seven percent, and NVIDIA owned published Blackwell Ultra figures drawn from third-party benchmarking at sites claim up to fifty times higher throughput per megawatt and up to thirty-five times lower cost per token than Hopper at low latency, with more than ten times more tokens produced per watt.
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16:16Michael KimballHOST
These last figures are vendor published rather than independently reproduced at the time of this report and should be read as the upper bound of a real but as yet unverified improvement, not as a demonstrated audited number on the order of the OpenAI pricing history or the vLLM throughput benchmark.
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16:33Michael KimballHOST
Key advantages and limitations, the inference cost decline central advantage for a deep tech founder is that it decouples product ambition from balance sheet size.