,
, and a market snapshot div. We need to produce JSON with translated title, content, and meta description. The meta description is not provided in the original, so we can leave it empty or generate a suitable one. The instruction says "ORIGINAL META DESCRIPTION:" is blank, so we can set it to empty string or create a brief summary. Probably best to create a short meta description in Japanese.
We need to translate the title. The original title is not explicitly given; the article content starts with Vera, the chip that designs chips
... but the title is likely "NVIDIA Deploys Vera CPU to Speed Its Own Chip Design, Tapping Cadence and Synopsys" from the draft. The user provided "ORIGINAL TITLE: should be factual news headline" but didn't specify. However, the content includes a lead paragraph that says "NVIDIA said this week it's deploying its Vera CPU..." So we can derive a title from that. The user wants a news headline, not analysis. So we can use something like "NVIDIA、自社チップ設計にVera CPUを導入、CadenceとSynopsysを活用" or similar.
We'll translate the entire content. The content includes a market snapshot div with inline styles. We need to preserve that HTML structure exactly, but translate the text inside. Also, the headings and paragraphs need translation.
We must be careful with technical terms: EDA, CPU, GPU, etc. Use appropriate Japanese: EDAは「電子設計自動化」、CPUはそのまま、GPUもそのまま、など。Proper nouns: NVIDIA, Cadence, Synopsys, Vera, Rosa, Olympus, Rigel, Jasper, VCS, LPDDR5X, Scalable Coherent Fabric. Keep these in English.
We need to translate the entire article including the lead paragraph, the sections, and the market snapshot. The market snapshot has labels like "24h Change", "7d Change", "Fear & Greed", "Sentiment", and values like "+0.00%", "34 Fear", "🔴 slightly bearish". We'll translate the labels and the sentiment text.
Let's proceed step by step.
First, the title: We'll use "NVIDIA、自社チップ設計にVera CPUを導入、CadenceとSynopsysを活用" or something like that. But the original draft title was "NVIDIA Deploys Vera CPU to Speed Its Own Chip Design, Tapping Cadence and Synopsys". So we'll translate that.
Content: We'll translate each part.
We'll output JSON with "title", "content", and "meta". The meta description is empty, so we can set it to a brief summary in Japanese.
Let's write the translation.
I'll translate the lead:
"NVIDIA said this week it's deploying its Vera CPU across the chip-design workflows it uses to build its next generation of processors, reporting up to 1.5x faster performance on select production-class tasks. The push runs with Cadence and Synopsys, the two heavyweights of electronic design automation (EDA) software, and it's aimed squarely at shortening the time it takes NVIDIA to design its own CPUs and GPUs."
Translation: "NVIDIAは今週、次世代プロセッサを構築するために使用するチップ設計ワークフロー全体にVera CPUを導入していると発表し、特定の本番クラスタスクで最大1.5倍の性能向上を報告した。この取り組みは、電子設計自動化（EDA）ソフトウェアの2大巨頭であるCadenceとSynopsysと連携して行われ、NVIDIAが自社のCPUとGPUを設計するのにかかる時間を短縮することに主眼を置いている。"
Then the market snapshot div: We need to translate the labels and values. The values are numbers and symbols, so we keep them. The labels: "24h Change" -> "24時間変化", "7d Change" -> "7日間変化", "Fear & Greed" -> "恐怖と貪欲", "Sentiment" -> "センチメント". The sentiment value "🔴 slightly bearish" -> "🔴 やや弱気". The fear & greed value "34 Fear" -> "34 恐怖" or "34 恐怖（Fear）"? Actually, it says "34 Fear" so we can translate "Fear" as "恐怖". We'll keep the structure.
Then the sections:
Vera, the chip that designs chips
-> チップを設計するチップ、Vera
or "Vera、チップを設計するチップ" but better: "Vera：チップを設計するチップ"
Content: "Vera is NVIDIA's own server-class CPU, built around 88 custom Olympus cores, LPDDR5X memory, and second-generation Scalable Coherent Fabric. By running EDA tools on Vera, NVIDIA is effectively using its own silicon to design the next round of silicon. The early numbers: up to 1.5x higher performance on Cadence's Jasper formal verification tool and Synopsys' VCS simulator. NVIDIA didn't disclose the baseline, so the 1.5x figure is best read as a targeted gain on specific production-class workflows, not a blanket speedup across every design task."
Translation: "VeraはNVIDIA独自のサーバー向けCPUで、88個のカスタムOlympusコア、LPDDR5Xメモリ、第2世代Scalable Coherent Fabricを搭載している。Vera上でEDAツールを実行することで、NVIDIAは事実上、自社のシリコンを使って次のシリコンを設計していることになる。初期の結果は、CadenceのJasper形式検証ツールとSynopsysのVCSシミュレータで最大1.5倍の性能向上を示している。NVIDIAはベースラインを開示していないため、1.5倍という数字は、特定の本番クラスタスクワークフローにおけるターゲットを絞った改善として解釈するのが適切であり、すべての設計タスクにわたる一律の高速化ではない。"
Why the design cycle matters
-> 設計サイクルが重要な理由
Content: "Chip design is compute-hungry. Simulation and verification alone can burn through millions of core-hours per tape-out. If Vera holds up in broader deployment, NVIDIA compresses its own development cycles — which means new GPUs and CPUs hit the market faster. That's where the crypto angle sneaks in. Faster GPU refreshes don't move BTC or ETH on their own, but they feed the AI-hardware narrative that's been lifting AI-linked altcoins. The effect is indirect and slow. But it compounds."
Translation: "チップ設計は計算リソースを大量に消費する。シミュレーションと検証だけでも、テープアウトごとに数百万コア時間を消費する可能性がある。Veraがより広範な展開で実力を発揮すれば、NVIDIAは自社の開発サイクルを短縮でき、新しいGPUやCPUがより早く市場に投入されることになる。ここで暗号資産との関連性が忍び寄る。GPUの高速リフレッシュがそれ自体でBTCやETHを動かすわけではないが、AI関連アルトコインを押し上げてきたAIハードウェアのストーリーを後押しする。その影響は間接的でゆっくりとしたものだが、複利のように効いてくる。"
Rosa is already on the roadmap
-> Rosaはすでにロードマップに
Content: "NVIDIA isn't stopping at Vera. The company said it plans to follow with the Rosa CPU, powered by the Rigel core. No timeline was given, and NVIDIA didn't say when Vera would finish rolling out across all of its EDA workflows. For a crypto market trading on macro liquidity and regulatory headlines, this announcement is background noise. But it's the kind of background noise that, over years, reshapes the cost of AI infrastructure — and with it, the economics of AI-focused tokens. The next concrete thing to watch is whether NVIDIA extends the Vera rollout beyond the selected workflows named this week, and when it gives Rosa a ship date."
Translation: "NVIDIAはVeraで止まらない。同社は、Rigelコアを搭載したRosa CPUを後継として投入する計画だと述べた。ただし、時期は明らかにされておらず、VeraがすべてのEDAワークフローに展開され終える時期も明らかにされていない。マクロ流動性と規制ヘッドラインで取引される暗号資産市場にとって、今回の発表は背景ノイズに過ぎない。しかし、それは長年にわたってAIインフラのコストを再形成し、それに伴いAI関連トークンの
