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Hyperbolic

@hyperbolic_labs

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Open-Access AI Cloud. Affordable Compute & Inference. Instant Access and Reserve GPUs now https://t.co/vfyzj58Tmx

San Francisco, CA
Joined April 2023
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@hyperbolic_labs
Hyperbolic
3 days
Hyperbolic is an inference provider on @huggingface, check out Omni!
@victormustar
Victor M
3 days
Introducing: HuggingChat Omni 💫 Select the best model for every prompt automatically 🚀 - Automatic model selection for your queries - 115 models available across 15 providers Available now all Hugging Face users. 100% open source.
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@hyperbolic_labs
Hyperbolic
9 days
🚨Weekend Promo: $1.99/hr H200s🚨 On-demand H200s, spin up instantly!
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@hyperbolic_labs
Hyperbolic
17 days
Running into H100's 80GB memory limit? H200 multi-node clusters now available on-demand. 141GB HBM3 per GPU, $2.20/hour, provision a single node or a cluster in ~60 seconds.
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@YiMaTweets
Yi Ma
25 days
Our Gauss report is now on the arxiv: https://t.co/3iFk2yaeUf Does the current LLM models solve math problems with memorisation or understanding? Can it truly grasp abstract concepts or simply exploit correlations through compression? That is THE next trillion-dollar question.
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arxiv.org
We introduce \textbf{GAUSS} (\textbf{G}eneral \textbf{A}ssessment of \textbf{U}nderlying \textbf{S}tructured \textbf{S}kills in Mathematics), a benchmark that evaluates LLMs' mathematical...
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@hyperbolic_labs
Hyperbolic
26 days
@ArtificialAnlys @OpenAI What sets Hyperbolic apart is our consistency at various context lengths. No matter how short or long, our TPS stays steady at low costs. Built for real production workloads.
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@hyperbolic_labs
Hyperbolic
26 days
According to @ArtificialAnlys, Hyperbolic stands out with strong performance across context lengths. Our gpt-oss-120b model by @OpenAI delivers 402 tokens/sec and stays consistent over context lengths, putting us right alongside the fastest inference providers.
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@gpj
Gareth Paul Jones 💙
1 month
@ClementDelangue @awscloud I try and avoid all their products as much as possible, because their pricing isn't upfront or transparent. Prefer to use @hyperbolic_labs for GPUs (dev/prod), @weights_biases for experiments, @Docker for containerizing services and @vercel for web.
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@NVIDIAAIDev
NVIDIA AI Developer
1 month
Great work.🙌 Exciting to see @hyperbolic_labs delivering open AI innovation for builders everywhere.
@hyperbolic_labs
Hyperbolic
1 month
🚀 NVIDIA-Powered Qwen3-Next: Now Live at Hyperbolic Hyperbolic's superior benchmarks for Qwen3-Next-80B-A3B are powered by our NVIDIA @nvidia clusters, featuring on-demand H100 and H200 GPUs optimized for AI workloads. NVIDIA's H100 and H200 GPUs power our infrastructure with
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@hyperbolic_labs
Hyperbolic
1 month
Try it out today: Qwen3-Next-80B-A3B-Thinking: https://t.co/8BDTvXQ5Jj Qwen3-Next-80B-A3B-Instruct: https://t.co/SDWEz4IlSv Or get started with Hyperbolic GPUs:
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app.hyperbolic.ai
Rent high-performance GPUs and run AI models seamlessly in the cloud with Hyperbolic.
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@hyperbolic_labs
Hyperbolic
1 month
Benchmarking Leadership: Hyperbolic Tops the Charts for Qwen3-Next-80B-A3B As the first provider to launch inference for this model in direct partnership with the @Alibaba_Qwen team, Hyperbolic delivers the highest performance at the lowest price.
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@hyperbolic_labs
Hyperbolic
1 month
🚀 NVIDIA-Powered Qwen3-Next: Now Live at Hyperbolic Hyperbolic's superior benchmarks for Qwen3-Next-80B-A3B are powered by our NVIDIA @nvidia clusters, featuring on-demand H100 and H200 GPUs optimized for AI workloads. NVIDIA's H100 and H200 GPUs power our infrastructure with
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@hyperbolic_labs
Hyperbolic
1 month
@ArtificialAnlys @Alibaba_Qwen Hyperbolic's industry-leading performance for Qwen3-Next-80B-A3B is built on our extensive NVIDIA @nvidia GPU infrastructure, featuring on-demand H100s and H200s available for rent. These top-tier GPUs enable our exceptional speed and efficiency metrics that place us ahead of
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@hyperbolic_labs
Hyperbolic
1 month
@ArtificialAnlys @Alibaba_Qwen Model: Qwen3-Next-80B-A3B-Thinking > Output Speed: 288 tokens/sec > Latency (TTFT): 0.55s > Blended Price: $0.30 per 1M tokens > Input Token Price: $0.30 per 1M tokens > Output Token Price: $0.30 per 1M tokens
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@hyperbolic_labs
Hyperbolic
1 month
@ArtificialAnlys @Alibaba_Qwen Model: Qwen3-Next-80B-A3B-Instruct > Output Speed: 237 tokens/sec > Latency (TTFT): 0.52s > Blended Price: $0.30 per 1M tokens > Input Token Price: $0.30 per 1M tokens > Output Token Price: $0.30 per 1M tokens
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@hyperbolic_labs
Hyperbolic
1 month
@ArtificialAnlys Hyperbolic was the first to launch inference for this model, working directly with the @Alibaba_Qwen team. Hyperbolic’s performance ranks the highest at the lowest cost.
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@hyperbolic_labs
Hyperbolic
1 month
Qwen3-Next-80B-A3B Benchmarking: Why Hyperbolic Leads Recent benchmarking from @ArtificialAnlys puts Hyperbolic at the very top for Qwen3-Next-80B-A3B-Thinking and Qwen3-Next-80B-A3B-Instruct across every key metric: speed, latency, and cost.
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