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.
Amazon Bedrock AgentCore Runtime Instances was used to deploy a three-agent music production pipeline where agents collaborate over multiple days by sharing context and artifacts via a common runtime session and persistent storage.
CPU sourcing has become difficult for companies renting compute from cloud providers, with spot CPU pricing disappearing and spot instances requiring long-running provider connections. Server CPU fulfillment is reported at about six months and prices are up 10–20%. As a result, teams are being pushed to capacity-plan up to 12 months ahead, shift from spot to fixed reservations, and redesign workloads to use existing CPU capacity more efficiently.
Efficient Computer raised more than $97M in a Series B led by TQ Ventures at a $650M valuation, with its Electron E1 chip already in volume production. The round values the company at $650M and brings total funding to $173M, seven months after a reported $60M Series A. Efficient will use the funding to ship its Electron E1 in volume and scale its Fabric architecture for data-centre-class performance, targeting more than 10x better energy consumption than current systems.
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