TheStage AI @TheStageAI
Automated Enterprise Inference Stack & Research Lab app.thestage.ai AI Joined May 2023-
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Validation is a key step when compressing or accelerating models. It shows if the network still performs well. Our research team @TheStageAI shared evaluation methods for sharpness, tone, color, object placement, and more
How to measure the quality of text-to-image models? Our research team @TheStageAI put together a comprehensive guide to check perceptual quality, sharpness, color, prompt alignment, and more. All the tricky image quality questions researchers usually ask are covered here↓
🚀 Early access to ANNA: Automated NNs Accelerator now available! ✨ Get your access here: app.thestage.ai/contact Questions? DM or comment below! 💬 With ANNA, you can: 🔄 Simply upload your model, data, and desired metrics 🎛️ Fine-tune model size, latency, and quality with…
For AI builders and researchers: get early access to QLIP + ANNA for DNN optimization and acceleration – cloud, self-host, edge. Get a free commercial license. Collaborate with us on research, integrate your algorithms, or simplify deployment. Limited spots – apply today ↓
Quantization delivers speedup but can reduce quality. Our researchers prepared a tutorial showing how ANNA automatically quantizes Flux and accelerates it 2× while keeping quality high. Orig. model latency: 6.4 s. Check the link. DM or comment for early access.
Self-hosted text-to-image on H100 with @TheStageAI Elastic Models, accelerated from FLUX.1-schnell @bfl_ml. Our fastest model S generates a high-quality image in 0.5 s. Precompiled and ready-to-deploy – minimal cold start. Tutorial + access token inside if you want to try.
Imagine paying $30 for 10k images when @SaladTech + ANNA does it for $1 💀 FLUX.1-schnell ~1.2 s/image, high-quality output ANNA auto-tunes models to balance speed and quality OpenAI-compatible API, fully self-hosted. Quick guide shows how to run your own endpoint
Can LLMs recognize ASCII art? Our tests show accelerated Elastic Models analyze line-by-line features and combine them using statistical patterns. Try it yourself with DeepSeek-Qwen-14B – 120 tok/s on H100, 40 tok/s on L40s, up to 3× faster. Free API token!
Our research team took @AIatMeta LLaMA-8B, quantized it with QLIP using post-training int8, applied SmoothQuant, and used pre-defined compiler-compatible NVIDIA configs. Why do this? Up to 2× fewer weights and 3.6× faster on one GPU. Try it with our simple Jupyter Notebook.
Our @TheStageAI team was happy to gain early access to the @nvidia B200 from @nebiusai and establish benchmarking for our optimized diffusion models. We now fully support inference of optimized models on B200 across various AI applications - LLMs, VLMs, Text-to-Image,…
Our @TheStageAI team was happy to gain early access to the @nvidia B200 from @nebiusai and establish benchmarking for our optimized diffusion models. We now fully support inference of optimized models on B200 across various AI applications - LLMs, VLMs, Text-to-Image,…
AI engineers and researchers can now use our Quantization API to run accelerated LLMs, VLMs, and diffusion on NVIDIA and edge. Faster, cheaper, same quality. Built by our research lab. Docs & API live — early testers welcome.
🥗 What if you could generate 10,000+ AI images for $1 — each in just 1.2 seconds? We made it happen — 2.4× faster than most RTX 4090 pipelines, at a fraction of the cost. Check it out here: app.thestage.ai/models/FLUX.1-… ⟿ How? We tuned @bfl_ml's FLUX.1 [schnell] model with our ANNA…
Meet Elastic MusicGen Large — our optimized fork of @metaai's MusicGen, powered by ANNA (@TheStageAI’s Automated Neural Network Accelerator): huggingface.co/TheStageAI/Ela… Ye @kanyewest used AI for vocals on "Bully," calling it the "next Auto-Tune." He switched up later, but tracks…
⌁ EUROPE SIGNAL: ACTIVE ⌁ ↳ Want to accelerate your model’s inference? ↳ These guys sure do. ✦ Berlin: mapped next steps with our investors Christophe Maire and Lukas Erbguth of Atlantic Labs. ✦ Paris: @NVIDIAGTC showed us what’s possible. ✦ Germany: more investor talks…
▚▞▚▞ DATA LOG: AI EUROPE ▚▞▚▞ For years, AI talk was all Silicon Valley. After @nvidia #GTCParis, one thing became clear: Europe’s AI ecosystem has already kicked into high gear. 🇫🇷 @MistralAI’s dropping open weights that actually run. 🇩🇪 @Aleph__Alpha building native…
Bonjour, Paris 🇫🇷 Just wrapped 2 amazing days at @nvidia #GTCParis at @VivaTech — AI infra, agentic systems, and robots walking around. Great convos with @elevenlabsio, @MistralAI, @nebiusai, @recraftai & more. Still in town — DM us if you wanna talk AI (IRL in Paris ☕🥐)
🥐 Bon appétit, developers. New @MistralAI models for self-hosting accelerated by TheStage AI: - New LLM: Mistral Small 24B - New VLM: Mistral Small 3.1 24B - Achieves speeds up to 90 tok/s on a single H100! - Available in our standard 4 tiers: S, M, L, XL Models follow…
Wrong model = slow app. We help you pick the right one for your GPU. You can now explore a new Models section on our platform — with performance-optimized versions of open-source models like Qwen, Mistral, Llama, DeepSeek, and Flux. These models are tuned for real tasks: →…

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