
Peptide Capitalist
59 posts

Peptide Capitalist
@peptidecap
Crossover VC (AI, sw, frontier tech) and public investor. Deploying capital into startups and gray market peptides into my body


Indiscriminate tokenmaxxing and letting teams run wild racking up usage bills on Opus tokens is a temporary phenomenon Frontier spend is a leading indicator for open source spend. There will be a massive shift of many workloads (not all but many) to open source and people are underestimating how much value will accrue to @baseten @FireworksAI_HQ et al Both raising at $10-15B valuations which at face value feels nosebleed…but so did previous rounds at valuations they’ve already grown into

more vc associates/principals should be starting funds in this cycle, the boomer partners simply don't get it anymore josh kushner started thrive at 24 neil mehta started greenoaks at 28 dm me if this is you. i'll be your first LP



We just hit a major milestone — @FireworksAI_HQ passed $800M annualized run rate and reached 4x revenue growth, apart from Cursor, in Q1. We invite curious and courageous minds to join us and define new frontiers of specialized intelligence!




I think HBM is a mistake.



Anthropic sales call was goated. 15 mins. Guy shows up basically says “It is what it is, player. Here is the link to sign up.” Then bounces.

Deep|AI Infra 2026: Shifting from "Brain Power" Competition to "Whole-Body" Evolution This is one of our most important reports this year, and our entire team invested a significant amount of time and effort into it. We observed that the OCS ratio in Scale Up scenarios is still rising rapidly, and we also found that $MRVL is involved not only in TPU but also in LPU. In 2026, the focus of AI development has pivoted from chasing high benchmark scores to pursuing AI Agents capable of multi-step reasoning and autonomous action. This infrastructure arms race is undergoing a transformation akin to biological evolution. If an AI system is viewed as an evolving organism: the GPU/TPU represents the calculating brain; Memory and Storage serve as the memory carriers for experience and context; the CPU acts as the hands coordinating tasks; while Optics and Networking function as the limbs supporting systemic data flow and response sensitivity. Under the framework of the Agent Scaling Law, the core bottleneck is no longer just the FLOPS of a single chip (brain power), but rather the communication efficiency (limbs), the memory wall (memory), and the Total Cost of Ownership (TCO). The “Brain” Idle Crisis: Even with the most powerful compute cores, if the “limbs” (communication) are underdeveloped, chips will sit idle for over 1/3 of the time waiting for data. The “Memory” Retrieval Bottleneck: Long-sequence reasoning for Agents imposes rigorous demands on KV Cache management; the performance of memory and storage components has become the deciding factor for an Agent’s logical depth. Dimensional Evolution of “Limbs”: To overcome the communication bottlenecks inherent in MoE architectures, infrastructure is moving from 3D Torus toward high-dimensional topologies (up to 10D). Networking investment weight is now matching or even surpassing that of compute chips. This report outlines the bottlenecks facing AI Agents and recent TPU progress, specifically exploring how Google TPU optimizes “whole-body” coordination through vertical integration. We argue that: Networking is the new core battlefield: To solve MoE All-to-All bottlenecks, Google is significantly expanding scale-out bandwidth and shifting from 3D Torus to higher dimensions. Unlocking TCO and Allocation Efficiency: Through proprietary architecture and vertical integration, the TPU v7 rack cost is significantly lower than the NVIDIA GB200. This efficiency gain frees up CapEx for growth in optical communications and memory. $LITE $NOK $CRDO Detailed Report fundaai.substack.com/p/deepai-infra…

BREAKING: @carrawu is joining Parallel Web Systems as product lead




I think I’ve cracked the perfect VC product for founders & LPs Founders in my portfolio who’ve raised giga rounds w my help introduce me to their friends who’re ready to raise a Series A so I can put in a check at the seed round price & then run their round 5/5 t1 leads so far




*AXIOS CONFIRMED GRUNS DEAL VALUED AT $1.2B






