The AI omnicloud
Palo Alto & SF, CA
Joined April 2023
- Tweets124
- Following20
- Followers1.4K
- Likes147
Mithril retweeted
Meet Pika H3 Flex, debuting today as the #1 open weight model on DesignArena’s t2v board.
It’s built for professional iteration, with exportable audio stems, resolutions up to 4k, and faster-than-realtime generation. It can produce a 15-second clip with soundtrack in as little as 7 seconds.
So, yeah. It’s kind of a flex 💅
Mithril retweeted
@mithrilcompute has a new H200 cluster. Reach out if you need capacity!
Many more B300s and GB300s coming Oct–Dec, with Vera Rubin online early next year.
We’ll keep capacity set aside for on-demand and spot, alongside reservations.
Mithril retweeted
Coding agents mostly spend compute on hyperparameter tuning, rarely attempting the algorithmic research that make human records successful.
In one instance, Codex spent 121 H100 hours adjusting two values in the training code: cooldown fraction and window size schedule parameters.
Mithril retweeted
available capacity is growing on Mithril (@mithrilcompute) since people can pause reserved instances and lend them to spot pools. spot pools always have capacity at dynamic prices (which are low during off-peak times)
Mithril retweeted
A thoughtfully designed benchmark is catalytic for research progress.
At @mithrilcompute, we've partnered closely with @nikogrupen, @gabepereyra , @ItsJulioPereyra, and the @harvey team on LAB, with a focus on understanding agent performance and optimizing sub-agent delegation across models for long-horizon legal work.
This is exactly the kind of benchmark the field needs: realistic, client matter-centric, and grounded in expert evaluation.
More to share about our joint work soon.
Mithril retweeted
Mithril is opening new large "Flexible Reservation" H200 and B300 clusters in EMEA.
Reach out if interested.
Customers leveraging these regions can pause instances and make them available to others via spot, recouping costs when not used.
This mechanism is demonstrating 30%+ cost offsets so far for paused capacity.
Mithril retweeted
This is why Mithril built "Flexible Reservations". Users can pause instances and feed compute back to the grid, so to speak, letting nodes into the spot pool when they aren't using them and earn cash-back when they aren't used. This disincentivizes faking utilization.
In this morning's Agenda, we get into why it's hard for even a big lab like xAI to fully utilize its GPUs, and why AI researchers more broadly are faking their GPU utilization.
theinformation.com/newslette…
Mithril retweeted
Lastly, our sponsor @mithrilcompute made this workshop possible!
Some of us use their platform for high-performance computing and we love the experience!
Mithril is offering compute credits (1x $10,000 org, 2x$1,000 indiv)
Apply here by May 1st: forms.gle/BhtKsWRUcQiL3o856
#ICLR2026
This wraps up the 1st Workshop on Generative AI in Genomics (Gen²) @iclr_conf.
We had so many speakers we wanted to invite, yet couldn't fit into our schedule.
We'd like to acknowledge our organizers, advisors, and colleague, @SandeepKambham2, who helped us run the workshop!
Mithril retweeted
We're working with Google to bring next-gen TPUs to Mithril's Omnicloud as well. Mostly current and former Google/DeepMind researchers appreciate TPUs today.
Excited to make it more seamless for the broader ecosystem to experience them.
This week at Google Cloud Next, we introduced 8th gen TPUs, a critical milestone in our accelerator roadmap. TPUs enable us to optimize the entire stack for AI (with 8t for massive-scale training and 8i for low-latency inference). Exciting breakthrough from our hardware teams!
Read more on the systems architecture: blog.google/innovation-and-a…
Mithril retweeted
It's an honor to work for and with the cleverest, most innovative teams developing new fundamental methods in ML and applying AI to new frontiers in physical intelligence, AI for science, and more.
Proud of what the team is building. If compute economics and ML systems work excite you, Mithril is hiring!
We are hiring at @mithrilcompute!
Access to high-performance compute (GPUs, TPUs, and the like) is fundamentally broken: 1. prohibitively expensive and 2. heavily under-utilized.
The providers (mostly publicly traded companies) want financial guarantees that the bet will pay off: contracts with them must be large and long. Only a small set of players (i.e., well-funded "startups") can afford those terms.
The demand from these players is incredibly high—Blackwell GPUs are essentially sold out everywhere—but if you look at the utilization numbers, something is way off. Why?
At Mithril, we believe this is due to a fundamental fact: price control just doesn't scale with AI usage patterns. Small and medium players want access to these advanced chips in unpredictable patterns:
"I need to immediately run this experiment for 48 hours and then again 15 days from now" said a genomics researcher somewhere.
"My inference service explodes in demand every end of the month; I need 500 more chips just for 3 days every month" said the CEO of an Accounting AI platform somewhere else.
This is an incredibly rich field to be part of! At Mithril, you’ll be working to enable millions of research institutions and companies worldwide to leverage one of the pinnacles of human ingenuity—without the usual hassle.
From building our advanced Virtual Machine and high-performance network orchestration, to creating durable, resilient APIs and establishing state-of-the-art consumption principles... there’s just too many GOOD open problems to solve!
Take a look at our openings at mithril.ai/company#roles.
All positions are in-person at our offices in San Francisco and Palo Alto, CA.
Mithril retweeted
We are hiring at @mithrilcompute!
Access to high-performance compute (GPUs, TPUs, and the like) is fundamentally broken: 1. prohibitively expensive and 2. heavily under-utilized.
The providers (mostly publicly traded companies) want financial guarantees that the bet will pay off: contracts with them must be large and long. Only a small set of players (i.e., well-funded "startups") can afford those terms.
The demand from these players is incredibly high—Blackwell GPUs are essentially sold out everywhere—but if you look at the utilization numbers, something is way off. Why?
At Mithril, we believe this is due to a fundamental fact: price control just doesn't scale with AI usage patterns. Small and medium players want access to these advanced chips in unpredictable patterns:
"I need to immediately run this experiment for 48 hours and then again 15 days from now" said a genomics researcher somewhere.
"My inference service explodes in demand every end of the month; I need 500 more chips just for 3 days every month" said the CEO of an Accounting AI platform somewhere else.
This is an incredibly rich field to be part of! At Mithril, you’ll be working to enable millions of research institutions and companies worldwide to leverage one of the pinnacles of human ingenuity—without the usual hassle.
From building our advanced Virtual Machine and high-performance network orchestration, to creating durable, resilient APIs and establishing state-of-the-art consumption principles... there’s just too many GOOD open problems to solve!
Take a look at our openings at mithril.ai/company#roles.
All positions are in-person at our offices in San Francisco and Palo Alto, CA.
Mithril retweeted
Customers are using Mithril "Flexible Reservations" and capacity relist extensively!
A few hundred additional Blackwells and Hoppers, which would otherwise be allocated but underutilized, have been added back to the spot pool over the last week or so.
As a result, you can get 1x-8x B200 instances for $0.01/gpu/hour on Mithril. We expect availability to continue to expand, and for this to play a role in resolving the industry-wide capacity crunch.
Mithril retweeted
Today, we come out of stealth. 👋
@urunml is the inference cloud for the interactive era.
We wrote down why we're building it and what we believe.
Manifesto→ blog.urun.sh
Join the waitlist → urun.sh
Mithril retweeted
TPUs are coming to Mithril! Mithril GPU spot already starts at $0.01/gpu/hr (not a typo) for A100s-B200s.
TPU self-serve reservations now available, and spot pricing is next.
Algorithmic spot pricing = cheap when others aren't using it. Nights and weekends are basically free. Schedule accordingly.
Mithril retweeted
Great to be partnered with Nebius!
Any @nebiusai customer can enable Mithril-Nebius to use Mithril's tools and turn any standard reservation into a flexible reservation that they can pause to earn:
Jared Quincy Davis @jaredq_, Founder and CEO of our partner @mithrilcompute, is a fascinating person to talk to. Through Mithril’s platform clients across sectors can access Nebius infrastructure through tools they already know and trust. We spoke with Jared about what inspired him at #NVIDIAGTC, how the industry is pushing itself to create new solutions and how the infrastructure layer needs to evolve to support emerging workloads. #GTC26
Mithril retweeted
Cheering for portfolio companies @Baseten, @Harvey, @HeyGen, @MithrilCompute, @openevidence and @SierraPlatform who are all @FastCompany Most Innovative Companies of 2026
Founders who refuse to think small change the game!
Mithril retweeted
Computer use models shouldn't learn from screenshots.
We built a new foundation model that learns from video like humans do. FDM-1 can construct a gear in Blender, find software bugs, and even drive a real car through San Francisco using arrow keys.
Mithril retweeted
We've opened new pools for on-demand, SPOT, and self-serve reserve (arbitrary durations, from hours to weeks) NVIDIA B200 GPUs on Mithril.
In general, these chips are hard to get access to, so we hope this helps!
Spot floor at $0.01 for long-running and flexible jobs.
Blackwells are really nice to work with. Having all the extra HBM is super convenient.
Mithril retweeted
Excited to see Anthropic's fast mode experiment. More options is always good — and counterintuitively, even 6x cost for 2.5x speed can make applications cheaper.
We ran an experiment at @mithrilcompute that shows why flexible compute economics are so powerful 👇
Mithril retweeted
Introducing Locus: the first AI system to outperform human experts at AI R&D
Locus conducts research autonomously over multiple days and achieves superhuman results on RE-Bench given the same resources as humans, as well as SOTA performance on GPU kernel & ML engineering tasks.
RE-Bench is a collection of several frontier AI research tasks that typically take human experts (e.g., top ML PhDs and frontier lab researchers) several days. By scaling experimentation to far longer time horizons than previous systems, Locus represents a step change in AI scientist capabilities. 🧵