Let's say you had a hardware budget of $5,000. What machine would you buy or build to run Devstral Small 2? The HuggingFace page claims it can run on a Mac with 32 GB of memory or an RTX 4090. What kind of tokens per second would you get on each? What about DGX Spark? What about RTX 5090 or Pro series? What about external GPUs on Oculink with a mini PC?
Readit Newsprincehonest commented on Mistral releases Devstral2 and Mistral Vibe CLI mistral.ai/news/devstral-... · Posted by u/pember
It would be great if the meals had macros per serving listed, total calories, protein, carbs (+ fiber), fat per serving.
Edit: I see there is a nutrition facts button.
Is there a button I can press that says "suggest meals with more protein per serving"?
Pinecone | Software Engineer: Full-Stack Frontend | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/a6f4b3203us
Pinecone (https://www.pinecone.io/) is building similarity search at scale, providing vector indexing as a service. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
Apply here: https://grnh.se/a6f4b3203us
Pinecone | Software Engineer: Distributed Data Systems, Infrastructure & Tools, Full-Stack Frontend; SRE | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/a6f4b3203us
Pinecone (https://www.pinecone.io/) is building similarity search at scale, providing vector indexing as a service. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
Apply here: https://grnh.se/a6f4b3203us
Pinecone | Software Engineer: Distributed Data Systems, Infrastructure & Tools, Frontend; SRE | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/a6f4b3203us
Pinecone (https://www.pinecone.io/) is building a vector database for machine learning applications. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
Apply here: https://grnh.se/a6f4b3203us
Pinecone | Software Engineer: Distributed Data Systems, Infrastructure & Tools, Frontend | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/a6f4b3203us
Pinecone (https://www.pinecone.io/) is building a vector database for machine learning applications. We're a distributed team with offices in New York, San Mateo, and Tel Aviv. At Pinecone you will work with world-class scientists and engineers who have built large scale ML applications and platforms (including Amazon SageMaker) at leading companies and cloud providers. We are passionate about building great solutions by pushing the boundaries of science and technology.
Apply here: https://grnh.se/a6f4b3203us
Pinecone | Software Engineer: Distributed Data Systems, Distributed ML Systems | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://grnh.se/a6f4b3203us
Pinecone is pioneering a vector database for AI/ML applications. We provide customers with search and recommendation capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s a opportunity to join an exciting startup as one of the first employees.
Apply here: https://grnh.se/a6f4b3203us
P.S. Visit https://www.pinecone.io/ to apply for early access to our upcoming launch.
HyperCube | Software Engineer: Distributed Data Systems, Distributed ML Systems | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://www.hypercube.ai/openings/
HyperCube is pioneering a Deep Learning database. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s an opportunity to join an exciting startup as one of the first employees.
Our current tech stack includes Python, C++, Kubernetes, AWS.
Apply here: https://www.hypercube.ai/openings/
HyperCube | Software Engineer: Distributed Data Systems, Distributed ML Systems | New York, NY (NYC) & San Francisco Bay Area, CA (SF) & Tel Aviv, Israel | Full-time | https://www.hypercube.ai/openings/
HyperCube is pioneering a Deep Learning database. We provide customers with DL search, recommendation, and personalization capabilities that until now have been in the hands of a few large tech giants. Our team includes founders of multiple startups, CS professors, and world-class engineers formerly from Amazon, Google & Facebook.
If you’re excited about hard problems at the intersection of AI/ML, search engines, and databases, if you like moving fast, and feel restless when a day goes by without attaining something impactful, it’s a opportunity to join an exciting startup as one of the first employees.
Our current tech stack includes Python, C++, Kubernetes, AWS.
Apply here: https://www.hypercube.ai/openings/