The potent M1 Ultra chips are targeting devices *starting* at $4k. How large is that market?
It's Infinite as there's no top cap...
The potent M1 Ultra chips are targeting devices *starting* at $4k. How large is that market?
Ssshh! That's the secret to InfinityFabric!It's Infinite as there's no top cap...
Big APU is an ancient tale that will never be. Both Kaveri GDDR5M and Greenland failed us. I can't believe you.Wish granted early next year.
APUs, by nature, will never match dGPUs performance, so the only question is where the dGPU low-end will fallBig APU is an ancient tale that will never be. Both Kaveri GDDR5M and Greenland failed us. I can't believe you.
What happened to CVML in Rembrandt? I can't believe AMD still does not take AI seriously. Even Intel got matrix acceleration now.
This is going to bite them in the butt real bad in the future.
https://hothardware.com/news/amd-reveals-ryzen-7000-dragon-range-and-phoenix-mobile-cpus
"In addition to the financial disclosures, AMD also revealed some information regarding future products. In her prepared remarks, AMD CEO Dr. Lisa Su mentions future processors with integrated Xilinx technology. “As one example, we are integrating Xilinx’s differentiated AI engine across our CPU product portfolio to enable industry-leading inference capabilities,” Dr. Su said, “with the first products expected in 2023.”"
Zen 4/5?
No they're not. They have matrix crunching hardware (this so called "hardware AI assist") in CDNA-line GPUs. This is more akin to Intel AI accelerators in their CPUs.It's interesting that AMD appears to be taking the opposite approach of NV by putting hardware AI assist into the CPU rather than the GPU. Granted, NV don't currently have that option as they don't have an x86 license. If Windows on Arm takes off and there aren't future exclusivity clauses as they had with Qualcomm, I wonder if NV will potentially move in that direction?
It's an interesting way to go about it. Currently consumer CPUs are much smaller WRT die size compared to GPUs so there's more potential for adding things there without hitting the reticle limit of a given fab.
Also, considering that AMD's CPUs are already chiplet based, I wonder if this will just be an AI chiplet? If, so then there is also the potential for a future graphics product from AMD featuring the same or a similar hypothetical AI chiplet.
Regards,
SB
However, a recent development to the Frontier system has allowed the machine to surpass the 1 exaflop barrier. With an exact HPL score of 1.102 Exaflop/s, Frontier is not only the most powerful supercomputer to ever exist – it’s also the first true exascale machine.
The top position was previously held for two years straight by the Fugaku system at the RIKEN Center for Computational Science (R-CCS) in Kobe, Japan. Sticking with its previous HPL benchmark score of 442 PFlop/s, Fugaku has now dropped to No. 2. Considering the fact that Fugaku’s theoretical peak is above the 1 exaflop barrier, there’s cause to also call this system an exascale machine as well. However, Frontier is the only system able to demonstrate this on the HPL benchmark test.
Also LUMI, based on same HPE Cray nodes as Frontier, got third spot in top500, green500 and HPCG lists, worth promise for notable improvements especially in HPCG results by November update to the listsFrontier supercomputer debuts as world’s fastest, breaking exascale barrier | ORNL
ORNL’s Frontier First to Break the Exaflop Ceiling | TOP500
The world's first benchmarked exascale supercomputer hit 1.102 Exaflops on the TOP500 and has a theoretical peak of 2 Exaflops. The 2nd place Fugaku does have a theoretical peak above 1 Exaflops but scored just 442 PFlops, so it's still the first theoretical peak exascale supercomputer.
It uses Epyc processors combined with Instinct MI250X accelerators.
Regards,
SB
The world's first benchmarked exascale supercomputer hit 1.102 Exaflops on the TOP500 and has a theoretical peak of 2 Exaflops. The 2nd place Fugaku does have a theoretical peak above 1 Exaflops but scored just 442 PFlops, so it's still the first theoretical peak exascale supercomputer.
Or B350 board. What a value after five years.Good time to buy a Zen3 for by X370 board though
Gaming graphics declined in the quarter as macro conditions impacted discretionary spending.
While we expect the gaming graphics market to be down in the third quarter, we remain focused on executing our GPU roadmap, including launching our high-end RDNA three GPUs later this year.
Probably exceed. Their quarters don't line up perfectly but NVs GeForce division crashed 44% (expected)last QShould be interesting to see the Q2 marketshare numbers this quarter, will AMD fall below 17% (as per their Q1 share?) or manage to sustain/exceed it?