Messages in this thread | | | From | Duke Abbaddon <> | Date | Wed, 30 Mar 2022 18:24:26 +0100 | Subject | TOP BOOSTER Cloud Enemy(tm) Provided by potentially DLSS Cloud Founder |
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TOP BOOSTER Cloud Enemy(tm) Provided by potentially DLSS Cloud Founder :
We cannot all Buy a founders GPU But we can all use your Founders Edition low price Cloud plugin for MMO & Online activated play Gaming : Cloud Enemy(tm) - TENSOR CORE + TOPS + We cannot all buy your cloud GPU Founders edition...
for reasons that AMD & NVidia and ARM & Intel do not directly buy a RTX3080TI Founders edition :p ^^ but we can all use your :
Cloud Enemy(tm):(c)RS TENSOR CORE : All GPU of note have TOPS and obviously we all specialise <3
My proposal is simple : All special console MMO need a 370 Tensore core server side :
Enemy, Friend,Pet, Emoti play(tm)
(read at the bottom of the post please, Bear in mind this does not mean NVidia is the best at RayTracing.. But it does mean we can truly afford to activate the full benefits of having ML TOPS.. Mobile phones often only have 4 TOPS or even 2! at the most 10 and specialists like IPhone 20>30
But could all afford a small compliment to the Founders Cloud in that ML is dealt with for the entire MMO by the cloud; That way no one needs to know that ..
GPU RTP (Complex 3D RTP, Simple message, local cache, Monster cloud render + local)(c)RSExists specifically for You the client:
NVidiaMicrosoft.. Google Apple AMD Cloud gaming and service providers
Linux VM Windows VM Mac VM
Cloud Machine learning at GPU specialist clouds is of very high potency & potential, But for a 1$ a week subscription game like Quake? very hard at large cost!
(c)Rupert S https://science.n-helix.com
Cloud Enemy(tm)
Core strategic advice & adaptable SVM CPU <> GPU
SVM/Int List: Hard mode: Smaller refinement Advance Hard mode: Micro model save, Micro model regression
Advance BattleMode: Hard mode: Micro model save, Varied challenge (small regression),Indirect reference chat Advance BattleMode: Hard mode: Micro model save, Varied challenge (small regression),Indirect reference chat,Personal chat Advance BattleMode: Hard mode:RND resurgence, Micro model save, Varied challenge (small regression),Indirect reference chat,Personal chat
(c)RS
Machine learning, The Advanced SVM feature Set & Development
CPU lead Advanced SVM/ML potential GPU refinement & memory Expansion/Expression/Development
SVM/ML Logic for: Shaders, Tessellation, Compression, PML Vector Ray-Tracing
Sharpening Image Enhancement:
(S²ecRETA²i)(tm) Reactive Image Enhancement : ML VSR : Super Sampling Resolution Enhancement with Tessellated Precision & Anti-Aliasing Ai (S²ecRETA²i) + (SSAA) Color Dynamic Range Quantification, Mesh Tessellation, Smoothing & Interpolation Finally MIP-MAP optimised sampling with size/distance, dynamic cache compression.
Machine learning, The Advanced SVM feature Set & New developments..TPU <> GDev,AMD
Extended support for ML means dynamic INT4/8/16/Float types and dot product instructions execution. GPU/CPU/Feature-set/SVM
Dual compute unit exposure of additional mixed-precision dot-product modes in the ALUs, Primarily for accelerating machine learning inference, A mixed-precision FMA dot2 will compute two half-precision multiplications and then add the results to a single-precision accumulator. For even greater throughput,
Some ALUs will support 8-bit integer dot4 operations and 4-bit dot8 operations, All of which use 32-bit accumulators to avoid any overflows."
Core-ML runs on all 3 hardware parts: CPU, GPU, Neural Engine ASIC;SVM. The developer doesn’t specify; The software middle-ware chooses which part to run ML models,
(c)RS
Submissions for review
RS
https://drive.google.com/drive/folders/1X5fUvsXkvBU6td78uq3EdEUJ_S6iUplA?usp=sharing
https://lore.kernel.org/lkml/20220329164117.1449-1-mario.limonciello@amd.com/
https://www.phoronix.com/scan.php?page=news_item&px=AMD-PSP-Sysfs-Expose
https://lkml.org/lkml/2022/3/30/1005
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