We build large scale gpu clusters and sell them on contracts you can sublease.

San Francisco, California
Joined August 2023
San Francisco Compute retweeted
The Programmable Data Center @martin_casado’s Nicira virtualized networking by separating the control plane from the hardware. Cisco offered $600m; VMware bought it for $1.3b. Now that idea is coming to GPU infrastructure. @evanjconrad, CEO of @sfcompute, joins @swyx at @aiDotEngineer NYC to explain how SF Compute went from subleasing a cluster to making data centers programmable. We get into: • Why delivering a GPU trade means running the whole “hotel” • Interruptions, hardware generations and the GPU order book • Why physical settlement comes before compute derivatives • Why Evan thinks NVIDIA can’t build an independent market • Programmable InfiniBand and the data center as software The full conversation:
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San Francisco Compute retweeted
Introducing the Haight Street Compute Market. A one-day trading floor where vetted buyers and sellers of compute meet and sign deals in person. Nov 17, at the old Federal Reserve building in San Francisco. Request your invite: luma.com/86cjwpui
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San Francisco Compute retweeted
Everyone wants to be a “compute market” until it means sending your CTO into a monsoon to vet a data center Eric park is a beast btw. wsj.com/tech/ai/ai-computing…
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SF Autoresearch - has capacity - for training runs - with IB & cluster local storage - without a long term contract - without a big deposit - without a sales conversation - on an easy to use PaaS
SF Autoresearch (formerly givemeanode) now supports jobs with full InfiniBand fabrics! That means you can queue hero runs into all of SFC's available capacity, without a long term reservation, a long lead time, or a big downpayment. sfcompute.com/news/autoresea…
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San Francisco Compute retweeted
New .cube viewer on Ouro. Explore 3D or 2D slices of charge density, spin density, bonding (deformation) density, and orbitals. Heavily inspired by @gp_0013's work visualizing electron (+spin) density and s/o his latest post with @sfcompute, the blog aesthetic is beautiful.
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San Francisco Compute retweeted
SF Compute CEO @evanjconrad compares today’s compute market to electricity before the power grid. He explains that before utilities pooled demand, factories had to build enough generation for their own peak usage, leaving expensive capacity idle the rest of the time. “Every factory ran its own generator. And they had to size that generator for peak capacity. Then during idle hours they would just sort of burn that money.” “What happened in the power markets is that utilities came in and they pooled demand between all of these different factories.” “By doing that, you made the economics of all the factories better.” “This is how we scaled up electrification in the country.” “This is what people are trying to do with compute markets.”
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San Francisco Compute retweeted
We're announcing Elastic InfiniBand Partitions in SFC. You can now get RDMA connected nodes reserved, change plans, and sell your whole contract on the fly. That’s not “sell to spot”, that’s “sell the whole contract”. Launch the 30-day hero run on Monday, hit the snag on Tuesday, get out of the contract on Wednesday. Running a PaaS and your customers need their own partitions? Create thousands of partitions, one for each customer. Lots of providers give IB, but all on the same partition, which means it’s not secure enough for production. sfcompute.com/news/elastic-i…
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San Francisco Compute retweeted
Hiring 2 people to join my team at @sfcompute. One person to help me with supply-side compute deals and another to manage cluster stand-up. If you're bullish on AI infra, compute markets, sovereign AI, like to win, and get back up quickly when you don't, drop me a line. jobs.ashbyhq.com/sfcompute
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San Francisco Compute retweeted
We sat down with Rich Jaycobs, the former president of Cantor Futures Exchange & legendary creator of 7 exchanges & 6 clearing houses, and 1/5 of all approved DCMs since 2000. Here's what it really takes to build a compute market. sfcompute.com/news/commodity…
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San Francisco Compute retweeted
Sandbox Dax has just finished running and the results are in! 🥇@isorun 🥈@namespacelabs 🥉@sfcompute
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San Francisco Compute retweeted
We just put out a writeup on an in-house ledger we built to keep track of compute reservations as they're resold! Check it out :) sfcompute.com/news/abel-ledg…
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San Francisco Compute retweeted
We're hiring a director of governance, risk & compliance at SFC. We build & manage large scale supercomputers. As a GRC director, your role helps build the company into an institution that earns the trust that has been placed in us. sfcompute.com/news/hiring-di…
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San Francisco Compute retweeted
Givemeanode is now SF Autoresearch, a new product from SFC. We built the scalable, resilient platform for agent-driven machine learning research. The current moment is important and we want to help you take it seriously. sfcompute.com/news/sfc-autor…
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San Francisco Compute retweeted
right now, buying compute is just an absolutely awful experience, regardless of who you buy from. it's backroom deals, backed up supply chains, broken hardware, and large, risky purchases in a high stress environment. san francisco compute exists to try and solve these problems. our team has grown from the tiny ai lab that was desperately just trying to sublease our cluster, to a force to be reckoned with: real veterans of the industry, the same folks that built & financed the other neoclouds. our team is incredible & has produced some remarkable work that i'm really excited to celebrate, but we haven't solved the problem yet. we have solved a few things, but our jobs not done. i often don't talk about sfc's success because even though we have grown ridiculously fast, there is still just so much more ahead of us. we see the hard technical problems that accompany supercomputing and the nasty financial problems that accompany its financing as linked. the path to scaling ai is through safety. the bottleneck of ai is risk and our mission is to reduce that risk. it's a tricky, nuanced problem that requires bright minds. if you're one of those, we'd love for you to join us at the san francisco compute company. we have a long way to go
“We hit 100M ARR” post Evan:
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San Francisco Compute retweeted
the average on-platform customer on sfcompute saves about 25% it's the difference between $4.5/hr and $3.3/hr we wrote about why and how you can scale faster with reduced risk sfcompute.com/news/realized-…
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San Francisco Compute retweeted
financial vs commercial is the divide in compute markets. financial players trade standardized, cash-settled exposure to compute. but commercial users need more - specifics on location, topology, security posture, etc. it's effectively built-to-order. details are basis risk to a financial trader, but make or break the product for an operator. the Hugging Face incident reminds us that seemingly small differences in compute delivery become enormous operational and security problems. efforts like @sfcompute push toward actual physical compute markets, not just financial exposure.
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San Francisco Compute retweeted
We partnered with @AnthropicAI @OpenAI to host the world's first math hackathon. 40 hours, $2M compute - solve, understand, and present an open problem. Applications are live: mathathonchallenge.com
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San Francisco Compute retweeted
The average on-platform customer on San Francisco Compute currently gets a 25% realized discount from using SFC. That means if you bought GPUs from us at $4.5/gpu/hour, you end up realizing a price closer to $3.3/hr.
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