Expired50% confidenceReleaseExact time
The team has opened an OpenAI-compatible free research-use API with support from Nvidia GPUs, rate-limited to 5 RPM
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
9/14/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/28/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedOpen-source models can be run on consumer-grade GPUs (such as the NVIDIA RTX 4090 with 24GB VRAM) via inference frameworks such as Ollama, llama.cpp, and LM Studio.75% similarVerifiedNVIDIA's MIG technology enables hardware-level resource isolation on high-end GPUs such as the A100/H100.73% similarUnverifiedGPU硬件级功耗测量可通过NVIDIA Management Library(NVML)的nvmlDeviceGetPowerUsage()接口实现,以毫瓦精度实时采样72% similarUnverifiedOpenPose takes approximately 50–80 ms to process a single frame on a GTX 1080 GPU.72% similarUnverifiedNVIDIA Device Plugin registers the nvidia.com/gpu resource type with the Kubernetes scheduler, enabling Pods to declare GPU requirements via resources.limits.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/920999API
curl https://kongchang.com/api/v1/knowledge/claims/920999MCP
get_claim(id=920999)