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Models2026-08-12 · source-backed
English, Spanish, French, German, Italian, Vietnamese, Mandarin, Hindi, Japanese, Modern Standard Arabic, Korean, Brazilian Portuguese, male and female voices each (HF). Latency by hardware: 32ms/239ms at 64 concurrent on B200, 47ms/275ms on H100, 79ms/395ms on A100. Character error rates improved this release, French 2.70% → 1.54%, Spanish 1.14% → 0.60%. NVIDIA Open Model License with NIM containers. Voice-agent builders can now run the whole stack on owned hardware instead of paying managed-service latency, which pairs directly with Dograh's self-hosted voice pitch below.
Each link below shares sources, entities, or timing with this story.
Halo Neuro, building speech restoration for ALS and post-stroke aphasia, open-sourced sopro-v2-turbo: 120M parameters, zero-shot voice cloning from a short reference clip, English, German, French and European Portuguese. On an Apple M3 CPU it reaches 0.24 RTF offline and 0.21...
Finally, a story about building something instead of worrying about something. Mistral released Voxtral TTS on March 26, an open-source text-to-speech model built on Ministral 3B. The numbers are striking: 90ms time-to-first-audio, 6x real-time factor (a 10-second clip generat...
NVIDIA launched Nemotron 3 Super — a 120B total / 12B active parameter hybrid Mamba-Transformer MoE, open, designed specifically for multi-agent workloads, and delivering 5x higher throughput than Nemotron 2 at the same active parameter count (NVIDIA Newsroom). It ships with a...
Three moves, two days, no coordination between them. August 10–11: GitHub shipped Ollama as a BYOK provider inside Copilot for JetBrains (GitHub Changelog). Unsloth released Unsloth Desktop with a command literally named unsloth start claude, which points Claude Code and Codex...
NVIDIA released Code Concepts — 15M Python problems / 10B tokens under CC-BY-4.0. Nemotron-Nano-v3 gained +6 HumanEval points from targeted pretraining. The extensible concept-driven generation framework is the real builder value — teams can apply the same methodology to domai...
Alibaba published a fine-grained MoE with 2.4T total / 95B active, 512 experts, and a 92-layer hybrid full/linear attention backbone. vLLM shipped day-0 support verified on NVIDIA and AMD with ready 4-bit checkpoints (NVFP4 at 1.32 TiB for an 8xB300 node, MXFP4 at 1.45 TiB for...
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