Abed @TechGuardAI
Founder of Tech Guard. Building custom software and on-premise AI systems for businesses; client-owned infrastructure. Own your AI, own your data. techguard.io 🇺🇸 Joined February 2012-
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Abed retweeted
You asked for concurrency 🙏
@jayleaton Absolutely, currently in testing for our cyber build. Going great, amazing how fast this has gotten.
Abed retweeted
Run GLM 5.3 Flash EXL3 with TensorFold ⚡️ This is a completely new recipe that ushers a whole new level of performance for @NVIDIAAI 2x DGX Sparks. Conservative default for stability: - 1M context by default - 2.7M KV cache pool (!) - Yes, it's not a typo - 2.7M KV in just two Sparks - 4 concurrent streams by default Performance: - 60 tok/s on prose, single stream. - 108 tok/s on prose, 4 concurrent streams. ~1,950 prefill tok/s for most context lengths. Stress-tested to handle a variety of workflows. This is by far the BEST model to run if you have two DGX Sparks. Extremely smooth experience! Expect further improvements! Thanks to @ashxhart for developing such a powerful engine! TensorFold will be used in many of my upcoming recipes. Get it here: github.com/MiaAI-Lab/GLM-…
Abed retweeted
GLM-5.3 has helped defend 389 open-source projects, with 4,249 potential vulnerabilities found so far. OpenVuln is still running. The service remains free, and findings go privately to maintainers. huggingface.co/spaces/zai-org…
Abed retweeted
From AI Agents to RCE - Building a Vulnerability Research Workflow blog.quarkslab.com/from-ai-agents…
Abed retweeted
The Pirate bay Face for open LLMs, model weights, and uncensored models, Peer-to-peer distribution. Torrents but for open models. 669k+ eligible models so the weights can stay public, - pirateface.co
@superalesha Same here we need to all work together and cook
See you all there! 🤝
NousCon 2026 October 30th, NYC luma.com/y0y9ngkm
@MiaAI_lab @plotarmordev @ashxhart @volatilemarkts 👏 LET EM COOK 🥘🍳👨🏻🍳🧑🍳👩🏼🍳
@ashxhart @MiaAI_lab Well done my friends 👏 my org will be planning on switching over thank you
@MiaAI_lab What are the concurrency numbers on it?
Abed retweeted
Never in a million years would I have even dreamed my project would compete with the absolute best engines on the planet 🤯 Waking up to this is surreal 🫶🏼
Qwen3.8-Flash-Next for a single DGX Spark got a serious upgrade with TensorFold🔥 This is a completely new recipe, optimized and tuned for TesnorFold! Expect further improvements! - KV cache pool is ~1.3M - Default context 256k, with 5 concurrent. - Faster everything compared
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