Tooling
Open-source AI adoption grows amid enterprise security and licensing hurdles
Open-source artificial intelligence models are seeing rapid enterprise uptake, offering organisations stronger data privacy, predictable cost control, and deep customisation capabilities. Despite these advantages, engineering teams encounter considerable operational friction when taking open models to production. Businesses must actively manage complex licensing terms, software vulnerabilities, and substantial deployment hurdles across their workflows.
Tooling
Enterprise AI shifts focus to inference costs amid rapid model proliferation
As new models arrive weekly and global GPU capacity expands by millions of units, the primary operational focus for enterprise AI is shifting from training to inference. Organisations must now design sustainable compute strategies to control recurring operational costs as daily query volumes multiply. Managing inference expenses has become central to long-term deployment budgets.
Tooling
Developers run Qwen3.5 on repurposed crypto-mining FPGA cards to bypass GPU scarcity
Hardware builders have successfully deployed the Qwen3.5 language model on field-programmable gate array (FPGA) boards scavenged from defunct cryptocurrency mining rigs. Units such as the SQRL FK33 are being reconfigured to execute local inference, providing a viable low-cost alternative to expensive, hard-to-source enterprise GPUs.
