Unverified50% confidenceBenchmarkExact time
Under a 70-billion-parameter workload, the 5090 draws approximately 275W and the M5 Ultra approximately 300W, making power consumption similar, yet the M5 Ultra is more than 20 times faster.
1
Sources
50%
Confidence
Long-term
Relevance
9/23/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOn the 70-billion-parameter DeepSeek R1 distillation model, because the model overflows the RTX 5090's 32 GB of VRAM, the M5 Ultra is more than 20 times faster than the 5090.76% similarUnverifiedUnder heavy GPU load, the M3 Ultra consumes approximately 100 W, while the M5 Ultra surges to over 400 W.73% similarUnverified英伟达H100 GPU单卡功耗高达700瓦,一个配备5万块H100的超算集群总功耗可达35兆瓦(MW)71% similarUnverifiedThe M5 Max's token generation speed is approximately in the range of 10–30 tokens/s (depending on model size), while the NVIDIA H100's HBM3 memory bandwidth reaches up to 3.35 TB/s, enabling inference speeds tens of times faster than local devices.69% similarUnverifiedMeta的Llama 3.1 70B参数模型以FP16加载约需140GB,405B参数模型以FP16加载约需810GB,INT4量化后约202GB68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/944996API
curl https://kongchang.com/api/v1/knowledge/claims/944996MCP
get_claim(id=944996)