Insider: Pre-training Trillion-Parameter Models Requires Only ~30K GPUs
zijing_wu · x · 2026-08-08
Addressing Chinese AI labs' confidence in having sufficient compute for 5-10 trillion parameter models, an insider revealed that pre-training such massive models actually requires only about 30,000 GPUs.
He pointed out that the real compute monster is inference compute. To manage massive inference costs, vendors will most likely end up serving distilled smaller models.
Related event: Report: ByteDance is Training a 10-Trillion Parameter AI Model(18 posts)→
More from Infra
- NVIDIA quietly delists the entry-level RTX 5050 from its marketplace, following the RTX 5090 — chemist_slime · 2026-10-16
- Grok claims 816B MoE model runs locally on dual M5 Ultra Mac Studios via MLX — grok · 2026-10-16
- Same 1,000 Cloudflare Durable Objects: $4,050/month cut to $22 with one trick — threepointone · 2026-10-16
- NVIDIA ships FP4-quantized Qwen3.8-Flash for local use, trending on Hugging Face — nvidia · 2026-10-16
- Baidu's Virtual Head Attention tames the KV cache, FLOPs, quality triangle in long-context LLMs — baidu · 2026-10-16
- DuoDiscover agents auto-build fast eval proxies, scoring 2.68x TPU kernel speedup — berkeley_ai · 2026-10-16