Expired50% confidenceFactExact time
The industry commonly uses NVIDIA A100 or H100 GPUs, priced at tens of thousands of dollars each, to support large model inference services.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/22/2026
First Seen
Valid until: 10/20/2026(expired)
Sources
Related Claims
UnverifiedFull fine-tuning typically requires dozens of A100 GPUs and is highly expensive75% similarUnverifiedOn an NVIDIA H100 GPU, running a model of approximately 200 billion parameters (Opus scale), the cost of generating 1,000 tokens in a single inference is approximately $0.01–$0.03.72% similarUnverifiedData center-grade GPUs such as the A100/H100 have a single-card retail price exceeding $10,000 USD, and inferring a complete context often requires multi-card parallelism.72% similarUnverifiedA single NVIDIA H100 card costs more than $30,000, and running a large-parameter model like Claude requires a cluster of dozens or even hundreds of cards working together.71% similarUnverifiedThe 70B parameter version of Llama 2 requires at least two A100 GPUs during inference, with a single A100 priced at approximately $10,000 on the market.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/593644API
curl https://kongchang.com/api/v1/knowledge/claims/593644MCP
get_claim(id=593644)