[KongchangAI]
Company

SemiAnalysis

SemiAnalysis is an independent research and analysis firm focused on the semiconductor and artificial intelligence industries, providing in-depth technical and market analysis reports primarily for industry professionals. Its research covers chip design, supply chains, AI infrastructure, and inference performance, and it operates data analytics tool platforms such as InferenceX. The firm is known for its technically driven quantitative analysis methodology, serving investors, technology companies, and policy researchers.

Core Facts

Timeline (last 90 days)

Oct 10

SemiAnalysis focuses on in-depth industry analysis of semiconductors and AI hardware.

Unverified50%
Oct 10

Dylan Patel is the founder and CEO of SemiAnalysis.

Unverified50%
Oct 6

This version was initiated on GitHub by contributor Cam Quilici, the commit carries GitHub's verified signature, and participants come from institutions such as SemiAnalysis and Inferact.

Unverified50%
Oct 6

A SemiAnalysis report states that at the same price, Opus 5.5 provides approximately 5 times the API equivalent value of GPT-6.1 Sol, and Anthropic subscriptions offer significantly better cost-effectiveness than OpenAI in agentic workflows.

Unverified50%
Oct 6

The API equivalent value metric assumes that users can fully utilize their quota, but rate limits, context windows, tool call support, and workflow compatibility all affect actual usability, so 5x quota does not equal 5x actual value.

Unverified50%
Oct 4

The test was run in SemiAnalysis's AgentX benchmark environment.

Unverified50%
Oct 4

SemiAnalysis's AgentX benchmark is specifically designed for AI Agent scenarios, with a core focus on decoding latency under single-user conditions rather than maximum throughput.

Unverified50%
Sep 15

SemiAnalysis is an independent research firm focused on AI infrastructure and chips.

Unverified50%
Sep 15

The vLLM team used the publicly available Agentic benchmark AgentX, introduced by SemiAnalysis, for measurement.

Unverified50%
Sep 12

Dylan Patel is the founder of semiconductor analysis firm SemiAnalysis.

Unverified50%

3 more timeline events

All Facts (14)

Verified

According to official disclosure, DeepSeek's training cost was only approximately $6 million.

80%
Unverified

Dylan Patel is the founder and chief analyst of SemiAnalysis, a semiconductor and AI industry research firm.

60%
Unverified

SemiAnalysis focuses on in-depth industry analysis of semiconductors and AI hardware.

50%
Unverified

Dylan Patel is the founder and CEO of SemiAnalysis.

50%
Unverified

This version was initiated on GitHub by contributor Cam Quilici, the commit carries GitHub's verified signature, and participants come from institutions such as SemiAnalysis and Inferact.

50%
Unverified

The API equivalent value metric assumes that users can fully utilize their quota, but rate limits, context windows, tool call support, and workflow compatibility all affect actual usability, so 5x quota does not equal 5x actual value.

50%
Unverified

A SemiAnalysis report states that at the same price, Opus 5.5 provides approximately 5 times the API equivalent value of GPT-6.1 Sol, and Anthropic subscriptions offer significantly better cost-effectiveness than OpenAI in agentic workflows.

50%
Unverified

The test was run in SemiAnalysis's AgentX benchmark environment.

50%
Unverified

SemiAnalysis's AgentX benchmark is specifically designed for AI Agent scenarios, with a core focus on decoding latency under single-user conditions rather than maximum throughput.

50%
Unverified

SemiAnalysis is an independent research firm focused on AI infrastructure and chips.

50%
Unverified

The vLLM team used the publicly available Agentic benchmark AgentX, introduced by SemiAnalysis, for measurement.

50%
Unverified

Dylan Patel is the founder of semiconductor analysis firm SemiAnalysis.

50%
Unverified

SemiAnalysis employs a "bottom-up" analytical approach, estimating laboratory compute scale and training progress by tracking supply chain data such as NVIDIA chip shipments, TSMC wafer capacity, and data center power procurement contracts.

50%
Unverified

SemiAnalysis has accurately predicted the specifications and deployment timeline of Google's TPU v5.

50%

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