Magnitude, a self-optimizing inference engine for local agents, was launched as open source software and claimed to run on Mac, Linux, and Windows across hardware. In benchmarks versus llama.cpp on Qwen 3.6 35B (4-bit) with a 64k context on a Metal setup, decode speed increased from 30 tok/s to 57 tok/s (92% faster). As a result, users can run agent sessions faster with lower per-agent memory use, while the desktop app auto-starts models on demand and shuts them down after inactivity.
A webinar post argues that AI agents that perform well in demos can fail in real production when their supporting data and context don’t match the controlled demo environment. October 14 is the date given for Arango COO Ravi Marwaha’s session on six data requirements to move agents from demo to production. The focus shifts from showcasing retrieval/RAG in a test setup to fixing production data architecture issues like changing sources, permissions, and business context.
CoreWeave announced that Cognition can run production workloads on NVIDIA Vera Rubin NVL72 and that CoreWeave is making Vera Rubin availability and NVIDIA Vera CPU support available via CoreWeave Cloud. Cognition reported up to a 4.8x increase in total token throughput for SWE-2 inference on Vera Rubin NVL72 versus a GB200 NVL72 baseline. CoreWeave launched CoreWeave Forge to connect production observability back into training and evaluation, changing the workflow so model and agent improvements can happen in a unified loop.
Charles Kantor, cofounder and former CEO of H Company, launched Blackfuel, an AI neocloud focused on inference workloads. The article cites $883k in connection with the launch or related activity. This shifts Kantor’s effort from his prior agentic startup to providing inference-focused infrastructure through Blackfuel.
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