461–470 of 722 posts
I think a graphics card tailored for 2k gaming is actually great. 2k really is the goldilocks zone between 4k and 1080p graphics before you start creeping into diminishing returns.
Can it compete with the massive used GPU market though? Why buy a new Intel card when I can get a used Nvidia card that I know will work well?
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Just how "basic" do you think a GPU can be while having the capability to interface with that much DRAM? Getting there with GDDR6 would require a really wide memory bus even if you could get it to operate with multiple ranks. Getting to 128GB with LPDDR5x would be possible with the 256-bit bus width they used on the top parts of the last generation, but would result in having half the bandwidth of an already mediocre…
Thank You Wtallis. Somewhere along the line, this basic "knowledge" of hardware is completely lost. I dont expect this to be explained in any comment section on old Anandtech. It seems hardware enthusiast has mostly disappeared, I guess that is also why Anandtech closed. We now live in a world where most site are just BS rumours.
As for articles, IMO, Chips and Cheese is the closest thing we have to Anandtech or RWT in their peak.
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By subsidizing it more they'll lose less money?
Increasing VRAM would differentiate intel GPUs and allow driving higher ASPs, into the green.
I don't know where this idea is coming from, although it's all over these threads.
For context, I write a local LLM inference engine and have 0 idea why this would shift anyone's purchase intent. The models big enough to need more than 12GB VRAM are also slow enough on consumer GPUs that they'd be absurd to run. Like less than 2 tkns/s. And I have 64 GB of M2 Max VRAM and a 24 GB 3090ti.
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Sandy Bridge (2009) is still a very usable CPU with a modern GPU. In theory Sandy Bridge supported resizable BAR but in practice they didn't. I think the problem was BIOS's.
Oh wow. That's older than I thought. This is definitely less of an issue than folks make out of it. I cling onto my old hardware to limit ewaste where I can. I still gave up on my old sandybridge machine once it hit about a decade old. Not only would the CPU have trouble keeping up, its mostly only PCIe 2.0. A few had 3.0. You wouldn't get the full potential even out of the cheapest one of these intel cards. If you a…
Consumer boards and CPUs didn't really support it well until after 2018. I upgraded away from a Zen+ system because it didn't support it.
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I would love too, but you can't just add the chips, you need the the bus too.
The bigger point here is to ask why they aren't designing that in from the start. Same with AMD. RAM has been stalled and is critical. Start focusing on allowing a lot more of it, even at the cost of performance, and you have a real product. I have a 12GB 3060 as my dev box and the big limiter for it is RAM, not cuda cores. If it had 48GB but the same number of cores then I would be very happy with it, especially if…
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Intel Arc hardware is manufactured by TSMC, specifically on N6 and N5 for this latest announcement. Intel doesn't currently have nodes competitive with TSMC or excess capacity in their better processes.
Serious question, why don't they have excess capacity? They aren't producing many CPUs...that people want.
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Disclosure: HPC admin who works with NIVIDA cards here. Because, no. It's not as simple as that. NVIDIA has a complete ecosystem now. They have cards. They have cards of cards (platforms), which they produce, validate and sell. They have NVLink crossbars and switches which connects these cards on their card of cards with very high speeds and low latency. For inter-server communication they have libraries which coordi…
Rather than tackling the entire market at once, they could start with one section and build from there. NVIDIA didn't get to where it was in a year, it took many strategic acquisitions. (All the networking and other HPC-specialized stuff I was buying a decade ago has seemingly been bought by NVIDIA). Start by being a "second vendor" for huge customers of NVIDIA that want to foster competition, as well as a few others…
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My 7800x says not really. Compared to my 3070 it feels so incredibly slow that gets in the way of productivity. Specifically, waiting ~2 seconds vs ~20 for a code snippet is much more detrimental to my productivity than the time difference would suggest. In ~2 seconds I don't get distracted, in ~20 seconds my mind starts wandering and then I have to spend time refocusing. Make a GPU that is 50% slower than a 2 genera…
I don't understand, make it slower so it's faster?
I think that's what GP was alluding to.
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> which is part of why the stock fell off a cliff Was it? Their GPUs sales were insignificantly low so I doubt that had a huge effect on their net income.
They spent billions at TSMC making Alchemist dies that sat in a warehouse for a year or two as they tried to fix the drivers.
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I don't know a single person in real life that has any desire to run local LLMs. Even amongst my colleagues and tech friends, not very many use LLMs period. It's still very niche outside AI enthusiasts. GPT is better than anything I can run locally anyway. It's not as popular as you think it is.
The only consumer demand for local AI models is for generating pornography