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DAS NYC 2026 Playback Who Wins the RWA Race? Presented by @shayonsengupta
DAS NYC 2026 Playback What If We Got Everything We Ever Wanted? Presented by @PrimordialAA
Want smoother video playback in your @vuejs apps? Learn how to serve optimized videos with @cloudinary AdvancedVideo component - resize, crop, control playback, and more using real Vue 3 examples. Read the full guide here 👇
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These bookshelf speakers are excellent for music playback, but you'll want to stick with a soundbar for theater-shaking surround sound.
🚀 Sol-H3: @MiniMax_AI H3 Video Generation Faster Than Playback 🤩 Five seconds of world. 1.653 seconds to infer. We’re releasing Sol-H3, our fastest end-to-end MiniMax-H3 inference stack yet. On one 8× NVIDIA B300 Blackwell system, it generates five seconds of 1344×768 video with stereo audio in 1.653 seconds. Across 1×, 4×, and 8× B300, Sol-H3 reaches up to a 15.54× speedup versus Base H3. Compared with 50-step Base H3 Dense on the same 8× B300 system, the four-step Sol-H3 profile delivers: • 5s: 18.250s → 1.653s (11.04×) • 10s: 50.660s → 3.732s (13.57×) • 15s: 99.513s → 6.612s (15.05×) Sol-H3 also scales across GPU counts: • 4× B300: 2.918s / 6.993s / 12.542s for 5s / 10s / 15s (12.11–15.54×) • 1× B300: 13.745s / 37.813s / 52.260s for 5s / 10s / 15s (9.45–14.29×) All figures are medians of three measured runs after one warmup at 1344×768 and 24 FPS with stereo audio. Base H3 uses 50 scheduler points (49 DiT forwards); Sol-H3 uses four DiT forwards, so this is a full-profile comparison—not an attention-only runtime change. Sol-H3 uses Dense attention on 1× B300 and SOL with INT8 QKV / FP8 output transport on 4× / 8×. Timing includes text encoding, DiT denoising, and video/audio VAE decoding; model loading, compilation warmup, and final MP4 encoding are excluded. Sol-H3 brings Sol-Engine × Sol-Attn into one full-stack runtime: • dynamic sparse attention with no retraining • fused norm, RoPE, MLP, and sparse-attention setup • fused INT8 QKV / FP8 output communication across 8 GPUs • parallel, batched VAE decoding • precomputed AdaLN caching Inside the stack: • sparse-attention setup: 1.206 → 0.285 ms (−76.4%) • VAE decode: 7.55 → 0.602 s • ~24 GB memory freed per GPU Any MiniMax-H3 few-step LoRA can plug into the same engine, and the code is deployment-friendly under Apache 2.0. For us, the bigger milestone is crossing from “fast generation” into “faster than playback.” That opens the path toward continuous 24 FPS generation and truly interactive video systems. We’re excited to partner with @reactorworld to release Sol-H3 and make it available as an API day-0. Try it now on Reactor: 🔗 Amazing team effort—full credits in the blog. @shanasaimoe @lawrence_cjs @yitongli165665 @haopengl33 @HaochengXiUCB @songhan_mit
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Is it just me or are videos consistently playback errors on here lately
Self-hosted YouTube media server for archiving and playback
Introducing UltraStudio Express 3G! Updated capture and playback models of the UltraStudio 3G family, with HDMI and 3G-SDI for Mac, Windows and Linux computers with USB4 or Thunderbolt 4 connections! Learn more at
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YouTube Shorts are getting even shorter with an update that lets you double the playback speed
Desktop Video 16.3 Update! Adds support for capture and playback of horizontal ancillary data to DeckLink 8K Pro Mini, improves capture of ancillary data for DeckLink 8K Pro and fixes an intermittent playback issue for UltraStudio Express Monitor 3G. Download now from
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