正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Blender on the latest RTX 6000 ADA, Dell T2 Pro Max👌 Even heavy path-traced production scenes become almost real-time. #b3d #Nvidia #DellProMax

Andrew Price

157,879 subscribers

72,614 次观看 • 9 个月前 •via X (Twitter)

科学技术 #b3d #Nvidia #DellProMax

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Testing the DLSS build of Blender 5.1 with OmniStep 2.. Real-time path tracing! OmniStep 2 - Now on BlenderMarket / Gumroad! #b3d #blender #omnistep

Testing the DLSS build of Blender 5.1 with OmniStep 2.. Real-time path tracing! OmniStep 2 - Now on BlenderMarket / Gumroad! #b3d #blender #omnistep

Damjan Minovski

34,635 次观看 • 4 个月前

City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web paper page: enables real-time neural rendering of large-scale scenes over web using laptop GPUs. The result is tested on the NVIDIA RTX 3060 Laptop GPU with 1920x1080 resolution

City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web paper page: enables real-time neural rendering of large-scale scenes over web using laptop GPUs. The result is tested on the NVIDIA RTX 3060 Laptop GPU with 1920x1080 resolution

AK

79,439 次观看 • 2 年前

99% of Pixar shots will now render entirely on NVIDIA RTX PRO 6000 GPUs. RenderMan XPU, is reshaping Pixar’s workflow—bigger scenes, faster rendering, and unprecedented freedom coming for Toy Story 5… and beyond. 🎬 Watch the story behind the tech:

99% of Pixar shots will now render entirely on NVIDIA RTX PRO 6000 GPUs. RenderMan XPU, is reshaping Pixar’s workflow—bigger scenes, faster rendering, and unprecedented freedom coming for Toy Story 5… and beyond. 🎬 Watch the story behind the tech:

NVIDIA AI

20,179 次观看 • 7 个月前

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎

Real-time Fire and Liquid Simulation 🤯 Achieved using NVIDIA RTX PRO 6000 with 96 GB of VRAM 🤯🤯 Only Nerds like us get why this awesome!! Anybody who worked with 3D softwares knows how hard is it to learn and work with particle simulations in Real-time. Thanks to Dell and JangaFX Software we saw this Demo using the amazing softwares of EmberGen and LiquiGen where newcomers can quickly learn and execute complex simulations in real-time. Best part is you can export these simulations and bring it to your 3D software of choice such as Unreal Engine or Blender 🔶 😎😎

Bad Decisions Studio

39,942 次观看 • 11 个月前

I recreated the caustics sequences in Blade Runner in Blender, using Shaders Plus' Real-Time Caustics, and each frame took only roughly 20s per scene to render on an RTX 3080! 🤠 You can check out Shaders Plus here! :) #blender3d #b3d

I recreated the caustics sequences in Blade Runner in Blender, using Shaders Plus' Real-Time Caustics, and each frame took only roughly 20s per scene to render on an RTX 3080! 🤠 You can check out Shaders Plus here! :) #blender3d #b3d

SMOUSE 🔸

62,427 次观看 • 1 年前

GPU GIVEAWAY Buy a GPU × GTC 2026 = Give a GPU > RTX PRO 6000 Blackwell > 96GB VRAM • NVFP4 > ~$15K value > Brand new If this does well I’ll ask NVIDIA for more GPUs next time… maybe even DGX Sparks How to enter? Short clip here Full clip in the replies GO GO GO

Ahmad

36,697 次观看 • 4 个月前

Surface Laptop Ultra is the closest Microsoft has ever come to building a no‑compromise performance machine, and the details are interesting to say the least. A full NVIDIA RTX Spark platform, up to 128GB of unified memory, a 15‑inch mini‑LED display hitting 2,000 nits, native Arm gaming progress, and a cooling system built for sustained heavy workloads. What Microsoft and NVIDIA are doing together here raises real questions about where Windows on Arm goes next and how this shifts expectations for pro‑grade laptops. #Surface (1/2)

Surface Laptop Ultra is the closest Microsoft has ever come to building a no‑compromise performance machine, and the details are interesting to say the least. A full NVIDIA RTX Spark platform, up to 128GB of unified memory, a 15‑inch mini‑LED display hitting 2,000 nits, native Arm gaming progress, and a cooling system built for sustained heavy workloads. What Microsoft and NVIDIA are doing together here raises real questions about where Windows on Arm goes next and how this shifts expectations for pro‑grade laptops. #Surface (1/2)

Windows Central

13,939 次观看 • 1 个月前

MiniMax M2.7 is 230B params. Can you actually run it at home? I tested Unsloth's UD-IQ3_XXS (80GB) on 4 different rigs: 🟠 4x RTX 4090 (96GB): 71.52 tok/s, TTFT 1045ms 🟢 4x RTX 5090 (128GB): 120.54 tok/s, TTFT 725ms 🟡 1x RTX PRO 6000 (96GB): 118.74 tok/s, TTFT 765ms 🟣 DGX Spark (128GB) — 24.41 tok/s, TTFT 741ms Backend: llama.cpp. Context: 32k. Max tokens: 4096. I went with IQ3_XXS because it's the biggest quant that fits in 96GB VRAM while still leaving safe headroom for 32k context. Same quant across all four rigs, fairest comparison I could run. Now look at rough peak GPU power draw: 🟠 4x4090 → 1,800W peak (450W × 4) 🟢 4x5090 → 2,300W peak (575W × 4) 🟡 RTX PRO 6000 → 600W peak 🟣 DGX Spark → 240W peak (whole system) The RTX PRO 6000 is the quiet winner. One card, 96GB, matching a 4x5090 rig at roughly a quarter of the power and zero multi-GPU headaches. Best tokens-per-watt by a wide margin. DGX Spark is slow on generation but pulls the least power of any rig here, around 240W for the whole system. Prefill-friendly, memory-rich, wall-socket-friendly. And yes, plenty of people cap their cards. Even then, 4x 4090 or 4x 5090 still pulls well over 1,200W from the GPUs alone.

MiniMax M2.7 is 230B params. Can you actually run it at home? I tested Unsloth's UD-IQ3_XXS (80GB) on 4 different rigs: 🟠 4x RTX 4090 (96GB): 71.52 tok/s, TTFT 1045ms 🟢 4x RTX 5090 (128GB): 120.54 tok/s, TTFT 725ms 🟡 1x RTX PRO 6000 (96GB): 118.74 tok/s, TTFT 765ms 🟣 DGX Spark (128GB) — 24.41 tok/s, TTFT 741ms Backend: llama.cpp. Context: 32k. Max tokens: 4096. I went with IQ3_XXS because it's the biggest quant that fits in 96GB VRAM while still leaving safe headroom for 32k context. Same quant across all four rigs, fairest comparison I could run. Now look at rough peak GPU power draw: 🟠 4x4090 → 1,800W peak (450W × 4) 🟢 4x5090 → 2,300W peak (575W × 4) 🟡 RTX PRO 6000 → 600W peak 🟣 DGX Spark → 240W peak (whole system) The RTX PRO 6000 is the quiet winner. One card, 96GB, matching a 4x5090 rig at roughly a quarter of the power and zero multi-GPU headaches. Best tokens-per-watt by a wide margin. DGX Spark is slow on generation but pulls the least power of any rig here, around 240W for the whole system. Prefill-friendly, memory-rich, wall-socket-friendly. And yes, plenty of people cap their cards. Even then, 4x 4090 or 4x 5090 still pulls well over 1,200W from the GPUs alone.

stevibe

191,728 次观看 • 2 个月前

In my last post, someone said the animations looked laggy 👀 Turns out… they were right but only on simulator. I’d been testing on Rork simulator + my own simulator the whole time → UI felt choppy. So I spent time optimizing animations with Opus 4.7. Then I built it on a real device (iPhone 17 Pro Max)… And damn, smooth af. Almost zero lag. Now the app is ~80% done. I’m already using it daily at the gym. Even had a few gym bros ask: “yo what app is that?” Feels like I’m already 50% there lol 🤟

In my last post, someone said the animations looked laggy 👀 Turns out… they were right but only on simulator. I’d been testing on Rork simulator + my own simulator the whole time → UI felt choppy. So I spent time optimizing animations with Opus 4.7. Then I built it on a real device (iPhone 17 Pro Max)… And damn, smooth af. Almost zero lag. Now the app is ~80% done. I’m already using it daily at the gym. Even had a few gym bros ask: “yo what app is that?” Feels like I’m already 50% there lol 🤟

Alex Nguyen

26,345 次观看 • 2 个月前

From 2 second (faster on higher end GPUs) Gaussian splat generations, using Apple's "Sharp Monocular View Synthesis in Less Than a Second" code, running locally on my system. Imported into Octane Render 2026 which has fully path traced rendering of Gaussian splats. Stuff like this is why I've been so excited to see where Gaussian splatting research would go. Combined with a real-time Generative AI "renderer" this stuff could start to get quite insane. Combined with Dreams it would be even better ofc :D Code to the Apple code in the comments below.

From 2 second (faster on higher end GPUs) Gaussian splat generations, using Apple's "Sharp Monocular View Synthesis in Less Than a Second" code, running locally on my system. Imported into Octane Render 2026 which has fully path traced rendering of Gaussian splats. Stuff like this is why I've been so excited to see where Gaussian splatting research would go. Combined with a real-time Generative AI "renderer" this stuff could start to get quite insane. Combined with Dreams it would be even better ofc :D Code to the Apple code in the comments below.

Martin Nebelong

36,774 次观看 • 6 个月前

AMD CEO LISA SU HELD A MINI PC ON STAGE THAT RUNS A 235B MODEL AND REPLACES YOUR $440/MONTH AI STACK amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on one piece of silicon. cpu and gpu share 128gb of unified memory, no separate graphics card needed the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months install ollama, pull the model, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

AMD CEO LISA SU HELD A MINI PC ON STAGE THAT RUNS A 235B MODEL AND REPLACES YOUR $440/MONTH AI STACK amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on one piece of silicon. cpu and gpu share 128gb of unified memory, no separate graphics card needed the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months install ollama, pull the model, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

starmex

977,376 次观看 • 1 个月前

NVIDIA'S BIGGEST COMPETITOR AMD BUILT A BOX THAT RUNS A 235B MODEL AND KILLS $200 OPENAI AND $200 CLAUDE CODE FOR $9 A MONTH amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on a single piece of silicon with 128gb of unified memory the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months ollama installs in one command and claude code points at localhost so nothing leaves the machine and nothing costs per request bookmark this and read the article below

NVIDIA'S BIGGEST COMPETITOR AMD BUILT A BOX THAT RUNS A 235B MODEL AND KILLS $200 OPENAI AND $200 CLAUDE CODE FOR $9 A MONTH amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on a single piece of silicon with 128gb of unified memory the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months ollama installs in one command and claude code points at localhost so nothing leaves the machine and nothing costs per request bookmark this and read the article below

starmex

93,086 次观看 • 1 个月前

NVIDIA CEO JENSEN HUANG UNVEILED THE RTX 3090 AND THE USED VERSION ON EBAY NOW KILLS A $400/MONTH CLAUDE CODE AND OPENAI BILL the rtx 3090 has 24gb of vram, the same as a new rtx 4090 that costs $2,000. for local ai inference vram matters more than anything else and the 3090 sells for $650-800 used it runs qwen 3.6 27b comfortably, deepseek r1 14b at 60+ tokens per second and mistral 7b for fast automation. 16gb of qwen 3.6 fits with 8gb of headroom for long context alibaba's qwen 3.6 27b beats claude 4.5 opus on realworldqa vision 84.1 vs 77.0 and on ifbench instructions 76.5 vs 58.0. a free open weight model out-benchmarks anthropic's flagship a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and a used 3090 pays itself off in 3.5 months install ollama, pull qwen 3.6 27b, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

NVIDIA CEO JENSEN HUANG UNVEILED THE RTX 3090 AND THE USED VERSION ON EBAY NOW KILLS A $400/MONTH CLAUDE CODE AND OPENAI BILL the rtx 3090 has 24gb of vram, the same as a new rtx 4090 that costs $2,000. for local ai inference vram matters more than anything else and the 3090 sells for $650-800 used it runs qwen 3.6 27b comfortably, deepseek r1 14b at 60+ tokens per second and mistral 7b for fast automation. 16gb of qwen 3.6 fits with 8gb of headroom for long context alibaba's qwen 3.6 27b beats claude 4.5 opus on realworldqa vision 84.1 vs 77.0 and on ifbench instructions 76.5 vs 58.0. a free open weight model out-benchmarks anthropic's flagship a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and a used 3090 pays itself off in 3.5 months install ollama, pull qwen 3.6 27b, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

starmex

86,410 次观看 • 28 天前

I really don't post wins much on this app 🤣🤣 it feels good being low-key. Although, let's doxx this one!. Most of the time, I win big, I reinvest, win again, reinvest. I barely spend on myself much, mostly spend my money helping people, or supporting the needy. It's time for me 😌. Hey NVIDIA GeForce Hey ROG Global I Just slapped a Brand new heavy machine in my bag! One of the most powerful laptops of 2025! Emphasis on BRAND NEW! Introducing, the new owner of the ASUS ROG STRIX G16 2025. SPECS: - Intel Core Ultra 9 275HX Processor - 32GB DDR5 RAM - Nvidia GeForce RTX™ 5080 Dedicated GPU with a massive 16GB DDR7 VRAM - 3TB PCIe 4.0 SSD NVME storage - 24 Cores CPU (16 E-cores + 8 P-cores) - Base Frequency 2.70GHz - Max Turbo Frequency 5.40GHz 6 Million Naira well spent on this bad boy. Now, let's lock-in again and run it up back turbo! I need my $U bag soon enough 🤭. Pitch me on to node running, and prover projects, I'm fully locked in.

🐐𝙲𝚛𝚢𝚙𝚝𝚘𝙳𝚛𝚊𝚐𝚘𝚗「🦑」

18,634 次观看 • 10 个月前

5. Dead Meat: A Murder Mystery Game Where You Control the Conversation Dead Meat by Meaning Machine is an upcoming murder mystery game where you can ask suspects anything—whether by voice or keyboard. Want to question their alibi, explore deep topics, or even confess your love? Your words shape the game. Persuade, manipulate, threaten, or charm your way to the truth. The interrogation room is your sandbox, and your imagination is the only limit. At CES 2025, Dead Meat was shown running in real-time on a GeForce RTX 50 Series GPU, generating dialogue locally for the first time. Previously, it used cloud-based LLMs, but thanks to a partnership with NVIDIA, the game now runs directly on your device.

5. Dead Meat: A Murder Mystery Game Where You Control the Conversation Dead Meat by Meaning Machine is an upcoming murder mystery game where you can ask suspects anything—whether by voice or keyboard. Want to question their alibi, explore deep topics, or even confess your love? Your words shape the game. Persuade, manipulate, threaten, or charm your way to the truth. The interrogation room is your sandbox, and your imagination is the only limit. At CES 2025, Dead Meat was shown running in real-time on a GeForce RTX 50 Series GPU, generating dialogue locally for the first time. Previously, it used cloud-based LLMs, but thanks to a partnership with NVIDIA, the game now runs directly on your device.

Mario Nawfal

24,670 次观看 • 1 年前

NEWS: Lucid today unveiled its production-intent robotaxi vehicle, developed in partnership with Group, Nuro and Uber, that will power its global robotaxi service. They also debuted today the Uber-designed in-cabin rider experience: • Sensor array featuring high-resolution cameras, solid-state lidar sensors, and radars. • Halo-mounted integrated LEDs to help riders easily identify the correct vehicle, display rider initials, and provide clear status updates from pickup through dropoff. • In-vehicle visualization that shows what the robotaxi sees and its planned path in real-time, including maneuvers such as yielding to pedestrians, slowing at traffic lights, changing lanes, and dropping off a passenger. • Interactive screens that let riders personalize their autonomous journey — from heated-seat and climate controls to music, as well as options to contact support, or request the vehicle to pull-over. • Fit up to six passengers • Compute based on NVIDIA DRIVE AGX Thor, part of the NVIDIA DRIVE Hyperion platform Pending final validation, the production intent robotaxi is expected to start production at Lucid’s Arizona factory later this year.

NEWS: Lucid today unveiled its production-intent robotaxi vehicle, developed in partnership with Group, Nuro and Uber, that will power its global robotaxi service. They also debuted today the Uber-designed in-cabin rider experience: • Sensor array featuring high-resolution cameras, solid-state lidar sensors, and radars. • Halo-mounted integrated LEDs to help riders easily identify the correct vehicle, display rider initials, and provide clear status updates from pickup through dropoff. • In-vehicle visualization that shows what the robotaxi sees and its planned path in real-time, including maneuvers such as yielding to pedestrians, slowing at traffic lights, changing lanes, and dropping off a passenger. • Interactive screens that let riders personalize their autonomous journey — from heated-seat and climate controls to music, as well as options to contact support, or request the vehicle to pull-over. • Fit up to six passengers • Compute based on NVIDIA DRIVE AGX Thor, part of the NVIDIA DRIVE Hyperion platform Pending final validation, the production intent robotaxi is expected to start production at Lucid’s Arizona factory later this year.

Sawyer Merritt

357,326 次观看 • 6 个月前

Two Big updates here for Giga Texas. First, the new Customer Direct Delivery Center is almost completed & now has the TESLA logo, a fenced off small test track for kids, new parking slots & a Cybercab display! Perhaps more important, and on word of high demand for the Model Y, Production is at full speed today … even though this is a Friday and normally a down day! The rate is about 1 car per minute, and I’ve included a real time video clip showing a small glimpse at the rate the cars exit the factory!

Joe Tegtmeyer 🚀 🤠🛸😎

123,761 次观看 • 10 个月前

It's been almost 20 years since I got my Airtel connection, and I've easily paid them more than Rs. 25 lakh in that time. I can't think of any other business that has made even close to this much money from me. Now the reason why I am saying this is I was watching the latest episode of the Intermission by The Ken. In case you haven't checked it out, it's a wonderful show on the history of some of the biggest businesses in India. Their latest episode is about Airtel and Rohin, and Seetharaman traced the entire Airtel journey, and I didn't realize that Airtel has had many, many near-death experiences and yet always came out stronger to be the business that it is today.

It's been almost 20 years since I got my Airtel connection, and I've easily paid them more than Rs. 25 lakh in that time. I can't think of any other business that has made even close to this much money from me. Now the reason why I am saying this is I was watching the latest episode of the Intermission by The Ken. In case you haven't checked it out, it's a wonderful show on the history of some of the biggest businesses in India. Their latest episode is about Airtel and Rohin, and Seetharaman traced the entire Airtel journey, and I didn't realize that Airtel has had many, many near-death experiences and yet always came out stronger to be the business that it is today.

Nithin Kamath

759,686 次观看 • 11 天前

Video Gaussian Splats are one of the most wonderful things I've experienced in my last year in tech and XR. They are like having a real person in front of you and have the potential to bring people closer to their idols, or their distant family members, or to store immersive memories forever. Now that I have a Dell Pro Max Tower T2 PC with a powerful #NVIDIA graphics card, I have finally been able to try at home the "memories" offered by Gracia AI, and boy, I was amazed. In the PCVR version, you can really get close to the artists dancing and syncing, and in the frames where the recording doesn't have many artifacts, it is almost like having a real artist in front of you. And it is impressive that this technology works even when the singer is dancing with quick movements! But these recordings can be pretty huge (the one with McKenzi Brooke is 21GB!) and require a powerful computer, so now Gracia is also streaming these GS videos, and I was able to try the Amy May performance also on Quest! I have to say that quality-wise, even streamed, they are amazing. But there are more artifacts than in the PC version: I noticed that when I got close to the singer. But there is a huge advantage in having them on Quest: you can see them in mixed reality. It was like having the singer having a private performance for me in my house. Crazy cool! I'll keep experimenting with these performances and maybe write an article in the upcoming weeks. In the meantime, let me know your impressions, too! #VirtualReality #technology #innovation (Disclaimer: I entered the #DellProPrecision ambassador program, so I was provided the PC from Dell, and I'm using it to make some experiments and share them with you. No monetary compensation or affiliate sales programs are involved.)

Video Gaussian Splats are one of the most wonderful things I've experienced in my last year in tech and XR. They are like having a real person in front of you and have the potential to bring people closer to their idols, or their distant family members, or to store immersive memories forever. Now that I have a Dell Pro Max Tower T2 PC with a powerful #NVIDIA graphics card, I have finally been able to try at home the "memories" offered by Gracia AI, and boy, I was amazed. In the PCVR version, you can really get close to the artists dancing and syncing, and in the frames where the recording doesn't have many artifacts, it is almost like having a real artist in front of you. And it is impressive that this technology works even when the singer is dancing with quick movements! But these recordings can be pretty huge (the one with McKenzi Brooke is 21GB!) and require a powerful computer, so now Gracia is also streaming these GS videos, and I was able to try the Amy May performance also on Quest! I have to say that quality-wise, even streamed, they are amazing. But there are more artifacts than in the PC version: I noticed that when I got close to the singer. But there is a huge advantage in having them on Quest: you can see them in mixed reality. It was like having the singer having a private performance for me in my house. Crazy cool! I'll keep experimenting with these performances and maybe write an article in the upcoming weeks. In the meantime, let me know your impressions, too! #VirtualReality #technology #innovation (Disclaimer: I entered the #DellProPrecision ambassador program, so I was provided the PC from Dell, and I'm using it to make some experiments and share them with you. No monetary compensation or affiliate sales programs are involved.)

TonyVT SkarredGhost

12,817 次观看 • 3 个月前

The sense of presence in VR is something amazing. And it is what convinces me that sooner or later, VR will succeed. VR is now in one of its down moments. That's why, in these harsh days, I wanted to get back to feeling what made me fall in love with this technology: presence and immersion. I took some very good-looking PCVR experiences, like Half-Life: Alyx, or AirCar, and tried them at the maximum resolution possible on my Dell Pro Max T2 Tower, featuring an #NVIDIA RTX 6000 graphics card. Until a few months ago, I was using my old laptop, which started to show throttling issues, so I was used to lowering the render resolution, while this time, I was moving the slider up and up. The results have been astonishing: even a demo like AirCar made me in awe again, and Half-Life: Alyx was as immersive as I have ever tried it. As much as I love standalone VR, because I think it helped a lot in democratizing the technology, the WOW sensation that you can try on PCVR today is still unbeatable. Probably a good compromise between the two can be cloud rendering, but we still have to wait for it to become a reality. The sense of being somewhere else is a wonderful sensation, and everyone I demoed VR to all these years has been amazed by it, too. And every day, something makes me feel "there" (like today), I remember why I love this technology and why one day it will have a higher adoption. Sure, there are a lot of problems to solve, but I'm convinced one day it will happen. When? Well, it is always 5 to 10 years, every year... #VirtualReality #VR #technology [Disclaimer: I mentioned the PC model because I'm a #DellProPrecision ambassador, and I have been given the PC to do tests and experiments and share my results. There is no monetary compensation or sales affiliation related to this post]

The sense of presence in VR is something amazing. And it is what convinces me that sooner or later, VR will succeed. VR is now in one of its down moments. That's why, in these harsh days, I wanted to get back to feeling what made me fall in love with this technology: presence and immersion. I took some very good-looking PCVR experiences, like Half-Life: Alyx, or AirCar, and tried them at the maximum resolution possible on my Dell Pro Max T2 Tower, featuring an #NVIDIA RTX 6000 graphics card. Until a few months ago, I was using my old laptop, which started to show throttling issues, so I was used to lowering the render resolution, while this time, I was moving the slider up and up. The results have been astonishing: even a demo like AirCar made me in awe again, and Half-Life: Alyx was as immersive as I have ever tried it. As much as I love standalone VR, because I think it helped a lot in democratizing the technology, the WOW sensation that you can try on PCVR today is still unbeatable. Probably a good compromise between the two can be cloud rendering, but we still have to wait for it to become a reality. The sense of being somewhere else is a wonderful sensation, and everyone I demoed VR to all these years has been amazed by it, too. And every day, something makes me feel "there" (like today), I remember why I love this technology and why one day it will have a higher adoption. Sure, there are a lot of problems to solve, but I'm convinced one day it will happen. When? Well, it is always 5 to 10 years, every year... #VirtualReality #VR #technology [Disclaimer: I mentioned the PC model because I'm a #DellProPrecision ambassador, and I have been given the PC to do tests and experiments and share my results. There is no monetary compensation or sales affiliation related to this post]

TonyVT SkarredGhost

28,906 次观看 • 3 个月前