Microsoft has quietly shipped its first fully in‑house AI models — MAI‑Voice‑1 and MAI‑1‑preview — marking a deliberate shift in strategy that reduces dependence on OpenAI’s stack and accelerates Microsoft’s plan to own more of the compute, models, and product surface area that power Copilot...
ai governance
ai infrastructure
ai models
ai orchestration
ai safety
ai strategy
ai throughput
ai-governance
ai-strategy
audio-expressions
azure
azure ai
benchmarking
blackwell gb200
cloud computing
compute
copilot
copilot-labs
data governance
efficiency-first
enterprise-ai
foundation models
foundation-models
frontier models
gb200
governance
gpu infrastructure
gpu-training
h100 gpus
h100 training
in-house ai
in-house ai models
in-house models
in-house-ai
inference cost
latency
latency reduction
lmarena
low-latency
mai-1-preview
mai-voice-1
microsoft
microsoft ai
mixture of experts
mixture-of-experts
model orchestration
model routing
moe
moe architecture
multi-cloud
multi-cloud ai
multi-model
nd-gb200
nvidia h100
nvidia-h100
office ai
openai
openai partnership
openai stargate
podcast ai
productization
safety
safety and governance
safety-and-provenance
scalability
speech generation
speech synthesis
speech-generation
telemetry
text foundation model
throughput
tts
voice ai
voice generation
voice synthesis
voice-synthesis
windows
windows ai
windows copilot
Microsoft’s AI group quietly cut the ribbon on two home‑grown foundation models on August 28, releasing a high‑speed speech engine and a consumer‑focused text model that together signal a strategic shift: Microsoft intends to build its own AI muscle even as its long, lucrative relationship with...
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