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Ampere

Ampere

Search complete. 15 mentions across 10 episodes found for "Ampere".

Oct 28, 2026

Evan ConradGUEST
5:47
That's why it's happening.
speaker_1HOST
5:49
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?
Evan ConradGUEST
6:02
You can still get some Hopper and you can still get some Ampere.
Evan ConradGUEST
6:06
But if you want Blackwells, yeah, they're sold out.
Evan ConradGUEST
6:08
In part because the Blackwells weren't made until you ordered them.
Jeffrey DingNARRATOR
7:29
Jeff is an assistant professor of political science at George Washington University.
Jeffrey DingNARRATOR
7:33
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7:40
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7:46
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TomHOST
42:14
performance.
TomHOST
42:14
Ampere did not double performance for SM compared to Turing.
TomHOST
42:18
But I think that gets you to, yeah, even decent premium laptops for $1,300 without a GPU.
TomHOST
42:25
These might just give you PS5 or better gaming performance.

9 MINS LATER

TomHOST
51:27
For years, AMD's greatest problem was supply.
TomHOST
51:29
Flushed with AI cash after years of preparation, it's about time AMD took seriously taking real market share with increased production.
TomHOST
51:37
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.
TomHOST
51:46
And so, again, you know, the people that say, oh, this is for AI, 80 zero can be used for AI or gaming.

Unknown podcast

Serving DeepSeek-V4.1-Flash on Your Own GPU

Oct 12 · 1 Mention

Herman PoppleberryHOST
8:30
TensorRT LLM is NVIDIA only, full stop.
Herman PoppleberryHOST
8:33
The support matrix is Blackwell, Hopper, Ada Lovelace, Ampere, Grace Hopper, and GB200 NVL 72.
Herman PoppleberryHOST
8:41
Anything not on that list gets community support only.
Herman PoppleberryHOST
8:44
There's no AMD path, no TPU path, no Trainium path, not a weak path.
Dennis GarciaHOST
14:52
It was a good thing you brought that up because I was building the workstation and I wrote a couple articles about that.
Dennis GarciaHOST
14:58
I originally bought 3090s because they're an Ampere edition, so they supported all the latest technology.
Dennis GarciaHOST
15:05
They were very, very fast and they had 24 gigs of onboard memory.
Dennis GarciaHOST
15:08
That's the 3090.
Darren McKayGUEST
17:07
Yeah,
Dennis GarciaHOST
17:08
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.
Dennis GarciaHOST
17:31
This is an Ampere generation card.
Dennis GarciaHOST
17:35
$3,367.94 for some reason.
Type 3 AudioNARRATOR
27:04
Since Nvidia does not document these details, the model was reverse engineered by black box tests.
Type 3 AudioNARRATOR
27:11
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.
Type 3 AudioNARRATOR
27:20
As far as I know, no similar model exists for TPUs, Trainium or Maia.
Type 3 AudioNARRATOR
27:26
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.
Tom SadlerGUEST
8:45
That's naturally occurring.
Tom SadlerGUEST
8:46
But, you know, we look at, since I joined five years ago, we had, we had Ampere, ADA, Blackwell.
Tom SadlerGUEST
8:53
Blackwell is four times that of Ampere.
Tom SadlerGUEST
8:55
So in five years, we've gone up four times the power.
Tom SadlerGUEST
8:58
Like graphics cards have doubled in size.
Rhys WilliamsGUEST
6:40
And the reason is, at least as of right now, whenever you bring a data center on, it fills up immediately.
Rhys WilliamsGUEST
6:46
And by the way, the four generations ago NVIDIA chip, which is called the Ampere, it was the one before the Hopper.
Rhys WilliamsGUEST
6:54
The current one is Blackwell.
Rhys WilliamsGUEST
6:56
They're about to go with Vero Rubin.
Rhys WilliamsGUEST
24:06
'Cause you're seeing that by the spot prices of what you can charge.
Rhys WilliamsGUEST
24:10
So like, you know, four year, f- f- four generations ago, Nvidia chips, they're called Ampere, are still getting, uh, tremendous rates.
Rhys WilliamsGUEST
24:20
So, so in other words, you, you don't have that issue.
Rhys WilliamsGUEST
24:23
The, it, you have a, a constrained environment and a, a compute, a compute strained environment.
Michael KimballHOST
15:41
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.
Michael KimballHOST
15:51
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.
Michael KimballHOST
16:16
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.
Michael KimballHOST
16:33
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.

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