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JANCTION is moving beyond GPU Infrastructure... Janction (JANCTION) is developing the "Smart Render" service, which uses distributed GPU computing technology to speed up 3DCG and video rendering. According to test results from JasmyLab, the technology enables a 94% reduction in processing time: - 4K animations can be rendered in...

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23,552 Aufrufe • vor 16 Tagen •via X (Twitter)

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Profilbild von Scarycary ⚒
Scarycary ⚒vor 16 Tagen

@HARA_JasmyCFO @JanctionMGT @HARA_JasmyCFO Every time Smart Render processes a GPU rendering job through #JANCTION distributed network: •🔗 It runs on #JasmyChain •💰 It requires $JASMY as the gas token •📈 More usage = more demand for #JASMY tokens So every creator who uses Smart Render is $JASMY

Profilbild von JOEY MOTTZ
JOEY MOTTZvor 16 Tagen

@JanctionMGT Ohh, your doing your own testing! That's fabulous! Now let's see what a third party testing would say!🤣

Profilbild von CryptoNinjas
CryptoNinjasvor 16 Tagen

@JanctionMGT more on the potential of distributed computing:

Profilbild von Mykorius Maximus
Mykorius Maximusvor 16 Tagen

@HARA_JasmyCFO @JanctionMGT Aaaaaaaand deeeeeeeen…?

Profilbild von Deddd
Dedddvor 16 Tagen

@JanctionMGT Yeap according to them there is a lot of things at the same time they been delisted from exchanges , they are not transparent also they are keep selling over 6 years team stole $$$& millions dollars from investor no any return .they are Japanese scammers .

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Gavin Baker (Gavin Baker) says the disaggregation of inference can extend GPU useful lives from 3-4 years to 10-15. That may single-handedly save private credit and reduce the financing rates for GPUs, which will drive demand and help finance the build-out. "The disaggregation of prefill and inference is going to be amazing for the useful lives of GPU and may single-handedly save private credit. Private credit is in pain from these SaaS loans. But there's a lot of private credit in GPUs too. They were underwriting that to 3-4. The disaggregation of inference means that these GPUs are going to have 10 or 15-year lives. The AI skeptics are like, "Oh, these companies are all cooking their books. The useful life of a GPU is only a year or two. The useful life of a CPU is only four years because the rapid technological change." No. What rapid technological change has done with the disaggregation of prefill and inference is you can put a Cerebras system or Groq LPUs effectively in front of a Hopper or even an Ampere, use that Hopper and Ampere for prefill, and extend the useful life of that GPU until it melts. This is going to be really good for the whole private credit industry. It's gonna help finance the AI build-out. Because if you can start to finance GPUs at 5% or 6% instead of – I think CoreWeave's lowest financing was low sevens – that actually mathematically changes the cost to finance this build-out."
1:51

Gavin Baker (Gavin Baker) says the disaggregation of inference can extend GPU useful lives from 3-4 years to 10-15. That may single-handedly save private credit and reduce the financing rates for GPUs, which will drive demand and help finance the build-out. "The disaggregation of prefill and inference is going to be amazing for the useful lives of GPU and may single-handedly save private credit. Private credit is in pain from these SaaS loans. But there's a lot of private credit in GPUs too. They were underwriting that to 3-4. The disaggregation of inference means that these GPUs are going to have 10 or 15-year lives. The AI skeptics are like, "Oh, these companies are all cooking their books. The useful life of a GPU is only a year or two. The useful life of a CPU is only four years because the rapid technological change." No. What rapid technological change has done with the disaggregation of prefill and inference is you can put a Cerebras system or Groq LPUs effectively in front of a Hopper or even an Ampere, use that Hopper and Ampere for prefill, and extend the useful life of that GPU until it melts. This is going to be really good for the whole private credit industry. It's gonna help finance the AI build-out. Because if you can start to finance GPUs at 5% or 6% instead of – I think CoreWeave's lowest financing was low sevens – that actually mathematically changes the cost to finance this build-out."

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#NEWS: The iconic #G550 has completed its 1 millionth flight, with the 600+ aircraft in service logging 2.6 million flight hours. This milestone is a testament to the quality of the G550 and the technology introduced on the aircraft, which paved the way for our next-gen fleet.

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AOC: Once they can be on the up and up, providing their own energy, building out and investing in the infrastructure, refusing to free ride off of the American people, then we can continue to develop and explore this technology. I don't think this is about a denial of science or American competitiveness, but it is an integration of protection of the American people, instead of allowing this to happen at their expense.

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Three of us graphics Sega #Dreamcast devs have been up all night trying to migrate #Doom 64's renderer to the new "hybrid rendering scheme" which we implemented within the KallistiOS indie SDK awhile back. To make a long story short, the new rendering scheme submits opaque and transparent geometry to the GPU via two disjoint mechanisms: using the SH4 store queues and the DMA, allowing for interleaving of OP and TR polygons (not something you can do with direct poly submission on the PVR): saving RAM, and boosting perf by allowing the CPU to get a head start on the next frame while the TR polys are being DMA'd to the GPU asynchronously... Pretty sweet. THAT IS WHEN THE DAMN THING FULLY COOPERATES! This is the first time it's been flexed beyond just tech demos and testbeds... Been wading through PVR GPU IRQ handler hell trying to work through some of the corner cases which have only now manifested in an environment this intense (timing issues, vertex data corruption, etc)... ...So here, enjoy a highly curated direct HW capture ONLY of it actually working correctly and looking kick-ass! ;) Oh, and check out the bumpmapping jnmartin added to the weapons! #gamedev #retrogaming #cplusplus

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18,972 Aufrufe • vor 1 Jahr

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2:34

I watched a video now of this Naija guy in the UK who ran from his workplace, which is just 10 minutes away from his house, to eat eba and egusi for lunch. Why can’t he just take the food to work though? 😂😂

Olori Ajoke 🫅

28,257 Aufrufe • vor 1 Monat

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5:28

Pakistan marks a historic milestone in healthcare with the development of its first state-of-the-art public cancer facility. The Nawaz Sharif Institute of Cancer Treatment and Research, Lahore, completed in record time, is set to transform cancer care across the country. Bringing comprehensive treatment under one roof, from advanced diagnostics and laboratory services to radiology, LINAC-based radiation therapy, and surgery, the institute is equipped with world-class technology and facilities. This is more than a hospital; it is a new era of public service.

Maryam Nawaz Sharif

197,781 Aufrufe • vor 6 Monaten

Every GPU running Claude and ChatGPT is built from billions of these. A MOSFET is just a voltage-controlled switch - raise the gate voltage, current flows. Drop it, current stops. That's it. That's the entire foundation of modern computing. No moving parts, no chemistry, just a thin layer of silicon responding to an electric field. Trillion-parameter AI models are nothing more than this switch flipping on and off at 3 gigahertz. 10 minutes. Bookmark & watch today. One transistor. Infinite scale.
12:16

Every GPU running Claude and ChatGPT is built from billions of these. A MOSFET is just a voltage-controlled switch - raise the gate voltage, current flows. Drop it, current stops. That's it. That's the entire foundation of modern computing. No moving parts, no chemistry, just a thin layer of silicon responding to an electric field. Trillion-parameter AI models are nothing more than this switch flipping on and off at 3 gigahertz. 10 minutes. Bookmark & watch today. One transistor. Infinite scale.

Eron

101,787 Aufrufe • vor 1 Monat