Unverified50% confidenceFactExact time
The experimental environment is built around a single NVIDIA RTX 3090 (24 GB VRAM, 390 W power limit), on which two shared services run: a Whisper ASR transcription service and nomic-embed-text (Ollama).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedWhen running Whisper ASR, a TTS voice model, and nomic-embed-text simultaneously on an RTX 3090 with 24 GB of VRAM, the three resident models occupied 17.8 GB (72%) of VRAM, peaked at 23.4 GB over the course of a week, and never spilled over into system memory.73% similarUnverifiedWhisper large-v3 从 FP16 量化至 INT8 后显存需求约从10GB降至5GB，使其可在消费级8GB显卡上运行67% similarVerifiedThe NVIDIA RTX 5090 is based on the Blackwell architecture, is equipped with 32 GB of GDDR7 memory, and has a theoretical FP16 computing power exceeding 100 TFLOPS.67% similarUnverifiedWhisper small模型约有244M参数，在消费级CPU上即可流畅运行66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1004265API
curl https://kongchang.com/api/v1/knowledge/claims/1004265MCP
get_claim(id=1004265)