If you’re a founder, investor, or operator building in AI, join us for an exclusive fireside chat & mixer as part of the AI Engineer World’s Fair in San Francisco
co-hosted by the Singapore Economic Development Board (EDB) and Singapore Global Network (SGN) as we discuss:
Key AI regulations currently shaping the US and Southeast Asia landscape
How companies are deploying AI agents in real-world applications today
Bright spots and emerging opportunities amid ongoing geopolitical tensions
Get insider insights on the future of AI and connect with leading founders, investors, and operators driving innovation in the space.
Great bites and drinks will be served.
Our fireside chats + mixers usually fill up fast, so RSVP early to secure your spot.
Speakers:
Thavidu Ranatunga, Engineering Manager - Applied Machine Learning, Yelp ($1.30B ARR): Thavidu Ranatunga, Engineering Manager - Applied Machine Learning at Yelp. Thavidu currently leads 3 consumer-focused AI teams at Yelp. Prior to this he was CTO at Fellow Robots where he made physical robots for retail stores in the US and in Japan
Angad Singh, Data Engineering and Science, OpenAI ($4.90B ARR): Angad is a tinkerer, builder and has led teams to grow from scratch. He was ex-Head of Product Data Engineering at Twitter.
Jasper Zhang, Co-Founder, CEO, Hyperbolic ($20M raised): Jasper is building the most accessible on-demand AI Cloud for developers and startups. He's a mathematician turned founder, and the fastest PhD in Mathematics at UC Berkeley.
1. rent 4x H100 instance on http://app.hyperbolic.xyz/compute
(Llama 4 Scout has 109B parameters in bf16, so the weights are already 218GB)
2. open a terminal tool and SSH into the machine
3. run the following commands:
>> sudo apt-get update && sudo apt-get install -y python3-pip
>> pip install -U vllm
>> pip install -U "huggingface_hub[cli]"
4. get an access token on u/huggingface website and run
>> huggingface-cli login
5. use @vllm_project to serve Llama 4
>> vllm serve meta-llama/Llama-4-Scout-17B-16E-Instruct --tensor-parallel-size 4 --max-model-len 10000
6. open a new terminal and call the API to know "What can I do in SF?":
>> curl http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/Llama-4-Scout-17B-16E-Instruct",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What can I do in SF?"}
]
}'
It's just that simple ;) A big thank you to @AIatMeta and @vllm_project for making it easy to access the best open intelligence!
Another day, another drop. The new Model Playground is live on our server-less inference service.
We upgraded our model playground UI for developers to test and iterate on models with zero setup. Toggle live updates to see real-time API behavior. Adjust input parameters with full visibility.
> Copy-ready requests in Python, TypeScript, cURL, and Gradio
> Works across text, vision, image, and audio models
> Built on top of the u/vercel AI SDK
Fine-tuning transforms pre-trained language models into specialized, high-performing tools tailored for specific tasks. This article breaks down the process, techniques, and real-world impact of fine-tuning in shaping modern AI.
At Hyperbolic, we’re committed to delivering the latest open-source models as soon as they’re available. This is our promise to the developer community.
Deploy DeepSeek-V3-0324 directly using Gradio within Hyperbolic or via Huggingface playground using Hyperbolic's API.
Start inferencing today.
As AI-driven workloads surge, GPU rentals are redefining access to high-performance computing—offering cost-effective, on-demand solutions that keep pace with innovation.
The global GPU and data center market is surging, with 2024 data placing the GPU market at $61.58 billion. Projections range from $461.02 billion by 2032 to as high as $1,414.39 billion by 2034. This explosive growth is largely driven by the rapid adoption of AI and machine learning across industries, fueling an ever-increasing need for high-performance computing resources.
Hyperbolic is now one of the few selected serverless inference providers on
@HuggingFace. It is a decentralized AI inference and GPU provider that is a leader in web2 and web3.
A limited group, chosen for performance, precision, and scale.
Hyperbolic’s Inference slashes inference costs and complexity, letting you deploy powerful AI models without compromising on performance or trust.
Hyperbolic was recently featured in
@BusinessInsider
We're committed to democratizing access to AI and accelerating open-source innovation. Since DeepSeek R1 launched, our inference usage has surged 150%—driven by developers who prioritize affordability, accessibility, and privacy.
If you're going to be at Consensus HK, a cool event happening during that time
Hype(r)House is an exclusive event hosted globally founded by Hyperbolic bringing together the most influential minds in AI.
Welcome the golden age of tech and HyperIntelligence—autonomous, self-evolving agents powered by Hyperbolic's decentralized compute, verifiable AI inference, and AgentKit.