Tech Fund (@techfund1) on Surfaced

Tech Fund (@techfund1) on Surfaced

Recent mentions

20 posts

@techfund1May 24, 2026 · 1:11 PM

The data center CPU market is getting crowded, with large players looking to gain share: $AMD $NVDA $INTC $ARM $QCOM $AMZN $MSFT $GOOGL The most obvious ways to play the growth and increasing competition in this market: $TSM $SNPS $CDNS $ASML and $MRVL (ASIC partner)

@techfund1May 6, 2026 · 11:07 AM

"Shortages are spreading from Memory to wafers, CPUs, optics" - $ANET Gross margins will be coming down due to silicon price inflation. Expect all companies reliant on silicon and without sufficient pricing power to get margin headwinds. Who benefits? The strong players in the semi supply chain with pricing power are still trading on attractive valuations: $TSM, Semicap like $ASML, the DRAM triopoly (SK Hynix, $MU and Samsung), are some of the most obvious winners in silicon. $NVDA has locked in tons of capacity so will benefit. A big winner can also be $INTC. For years, there has been no demand for their Foundry, but this is changing now where even TSMC has not sufficient capacity.

@techfund1Apr 26, 2026 · 4:26 PM

$AMZN + Cerebras are working on a similar disaggregated inference solution as $NVDA + Groq Prefill => runs on Trainium 3 Decode => runs on Cerebras https://t.co/oXJhovDFig

@techfund1Feb 4, 2026 · 7:42 AM

$CDNS & $SNPS down 8%, yet their biggest customer - $NVDA's Jensen - says yesterday he's investing as much resources in these tools as they need. https://t.co/sCj63TngYL

@techfund1Jan 13, 2026 · 6:51 AM

"Healthcare is deploying enterprise AI at three times the pace of the broader U.S. economy" - $NVDA VP https://t.co/rHXppwHLCk

@techfund1Jan 4, 2026 · 1:49 PM

Groq's founder on ASIC announcements – "main aim is to get leverage in $NVDA pricing negotiations". Historical example – Google threw AMD's CPUs in the trash, simply to get leverage over Intel. https://t.co/bkdYNaaodD

@techfund1Dec 30, 2025 · 9:57 AM

It's becoming increasingly important for the leading semi providers who wins the LLM race. If Gemini becomes the big winner, obviously not good for $NVDA and great for $AVGO in the coming years, although we suspect that long term Google will also manage to disintermediate $AVGO to a large extent. A big winner here is TSMC besides GOOGL obviously. If open-source wins, awesome for NVDA. The open source providers (e.g. Alibaba, DeepSeek, Llama etc.) will have much less resources to spend heavily on an ASIC program, and open source models still have to run on NVDA GPUs in the cloud (AWS, Azure, etc.). If OpenAI is the big winner, obviously good for $NVDA and $AMD, but also $AVGO as OpenAI will be keen to spend heavily on an ASIC program. Anthropic is sort of in the middle and looks happy to use all silicon available - Trainium, NVDA, TPUs,... Again, TSMC is an obvious play on Anthropic being the winner. If Grok wins, awesome for NVDA. In any event, TSMC will continue to be a big winner and we'll continue to add to this name.

@techfund1Dec 5, 2025 · 6:42 PM

$NVDA's move from Blackwell to Rubin – the big delta is in required memory wafers: https://t.co/bYqJ70J71n

@techfund1Nov 25, 2025 · 1:21 PM

$NVDA Volumes & GPU mix (by UBS): https://t.co/oiQoCDVLKF

@techfund1Oct 17, 2025 · 8:09 AM

$NVDA GPUs are going to space - edge network to analyze satellite imagery onboard https://t.co/U6Bu9rintT

@techfund1Oct 6, 2025 · 6:52 PM

In the last few months, OpenAI has announced deals with all major accelerator providers, both GPU and ASIC - $NVDA $AVGO $AMD and $GOOGL. The reason is the open source Triton software stack. Write code once in a Python-like language, and then deploy on a variety of accelerator clusters. The goal - no CUDA, ROCm or ASIC intrinsics required to code. From a recent Bytedance paper, where they deploy Triton on both Nvidia and AMD GPUs for distributed AI workloads:

@techfund1Sep 29, 2025 · 11:47 AM

Barclays buy thesis on $NVDA: "When tracking AI capacity additions over the LTM, AI TAMs don't seem so outlandish anymore and NVDA looks like the most interesting name in our group. When Jensen first forecast a $1T industry by the end of the decade, we admittedly balked. With the wave of announcements that have come over the last 6-9mo, we now estimate over $2T of planned spend at ~40GW of power in total. Within that, we attribute ~65-70% to compute & networking with more deals likely in the pipeline, which starts to make the updated guidance of $3-4T look much more real. Given the variation of data available for each project, we used both the conversion of 1GW=$50-60B of total spend and used the more recent 1M GPU per 2GW associated with the OpenAI deal announced last week. When summed, this equates to $1.5T of compute & networking spend and 19M GPUs, which we acknowledge isn't perfectly pro-forma. We also acknowledge that some of these dollars will go towards custom silicon but in the tracked announcements thus far there is little reference to any specific programs. We introduce an AI capacity tracker that aggregates announced compute deployments, power, and chips that we will update real time and offer to clients. We see this as a positive for all accelerator names (AVGO + AMD) but we see this largely flowing into the NVDA P&L over the next 5+ years, moving numbers materially higher and making this the most attractive name in our space. We move our price target to $240."

@techfund1Sep 26, 2025 · 10:39 AM

Jensen on why he made the massive investment in OpenAI (via @BG2Pod – $NVDA) https://t.co/bpIpCUN15O

@techfund1Sep 24, 2025 · 8:12 AM

Be careful with analysts using Shiller PEs to value growth companies – the Shiller PE takes into account EPS of 10, 9, 8, etc. years ago! Imagine using $NVDA $META $MSFT $GOOGL etc. EPS of a decade ago to value these stocks – obviously this is fully retarded.

@techfund1Sep 9, 2025 · 4:44 PM

Former $NVDA director on Micron's claims that their HBM is more power efficient (via Tegus): https://t.co/TVTol3RfTZ

@techfund1Sep 9, 2025 · 7:33 AM

$AMD is trying to mimic $NVDA's products as close as possible - same amounts & types of required cooling, same number of GPUs per pod.. - from AMD's Head of Data Center at Goldman: https://t.co/0117OCOALK

@techfund1Aug 12, 2025 · 6:14 AM

Trump willing to sell $NVDA B20 chips to China - "H20 is too old, Huawei already has something similar. Blackwell is super advanced. We can take 30% off Blackwell's performance and sell it China."

@techfund1Jul 16, 2025 · 8:42 AM

Director at Micron on why Samsung has been struggling in HBM with $NVDA https://t.co/ktl2UJ80Ul

@techfund1Jun 21, 2025 · 7:45 AM

A big tour of current happenings in Semis - $NVDA $AMD $MRVL $BESI $KLAC $ENTG $ARM $INTC $NVTS $MCHP $TXN https://t.co/A4rcdLIKc4

@techfund1Jun 14, 2025 · 10:21 AM

UBS on $NVDA's revenue outlook - the most bullish I've seen: "The company noted on its FQ1:26 earnings call that it has visibility into "tens of gigawatts" of AI infrastructure projects in the "not too distant future". Assuming a "low case" pipeline of 20GW and NVDA's stated range of ~$40-50B per GW, this puts its total revenue opportunity for this pipeline at a minium of ~$1T. While the company did not specify a timeframe for this pipeline, based on our conversations, we believe these projects are likely to be rolled out over a 2-3 year period. Using the average of this timeframe, this suggests the company may effectively have "visibility" to ~$400B/yr in data center revenue, or about 2x our $233B data center revenue estimate for C2026. This is obviously very heady, but we did note in UBS' deep dive on OpenAI's Abilene AI Factory that Crusoe alone has ~20GW in project pipeline and this is just one digital infrastructure project developer."