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Anyscale

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Anyscale

@anyscalecompute

The best way to run @raydistributed, the distributed compute framework for scaling AI workloads.

anyscale.com

Присъединяване: September 2019

Следвано

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Anyscale
@anyscalecompute
13.12.2023 г.
We’re excited to announce the official @MistralAI Mixtral 8x7B model on Anyscale Endpoints, offering the best price on the market with an OpenAI compatible API. 💸 Pricing: $0.5 / million tokens 📆 Coming soon: JSON mode and function calling Try out Mixtral on Anyscale
547K
Anyscale
@anyscalecompute
21.12.2023 г.
📈We’re excited to introduce the LLMPerf leaderboard: the first public and open source leaderboard for benchmarking performance of various LLM inference providers in the market. Our goal with this leaderboard is to equip users and developers with a clear understanding of the
376K
Anyscale
@anyscalecompute
12.12.2023 г.
We're announcing new features and models today. 🔵 JSON mode ⚫️ function calling Try them out with our API.
Blog | Anyscale
От anyscale.com
174K
Anyscale
@anyscalecompute
1.07.2024 г.
1/ 🚀 Introducing RouteLLM: a routing framework based on human preference data for routing queries between powerful proprietary LLMs and cost-effective LLMs, developed in collaboration with @lmsysorg . By intelligently selecting the best model for each query, our router models
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Anyscale
@anyscalecompute
16.07.2020 г.
Anyscale is honored to have been recognized by Forbes as one of America’s Most Promising Artificial Intelligence Companies anyscale.com/blog/forbes-ai…
Anyscale
@anyscalecompute
10.07.2024 г.
We’ve recently contributed FP8 support to the @vllm_project in collaboration with @neuralmagic. With this feature, you can see up to a 1.8x reduction in inter-token latency, with >99% accuracy preservation! 1/n
34K
Anyscale
@anyscalecompute
22.12.2023 г.
🔥 Mixtral-8x7B JSON Mode and Function Calling API is now available on Anyscale Endpoints! Empirically, we observed noticeable improvements in response to tool messages by Mixtral MoE, compared @MistralAI 7B. 🚀 👇 Try it out: app.endpoints.anyscale.com
29K
Anyscale
@anyscalecompute
28.05.2024 г.
Recently, we’ve contributed chunked prefill to @vllm_project, leading to up to 2x speedup for higher QPS regimes! In vLLM, prefilling, which fills the KV cache, and decoding, which outputs new tokens, can interfere with each other, resulting in latency degradation. 1/n
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Anyscale
@anyscalecompute
7.12.2021 г.
🎉 We’re thrilled to announce our $100M Series C led by @a16z & Addition + general availability of the Anyscale managed @raydistributed platform! forbes.com/sites/kenrickc… Both are big steps forward in our mission to accelerate the scaling and productionization of #AI apps.
Anyscale
@anyscalecompute
22.10.2025 г.
Today we’re donating Ray to The Linux Foundation under the PyTorch Foundation with PyTorch + vLLM, strengthening the open compute fabric for AI. Ensures long-term neutrality, open governance, and ecosystem alignment. Blog: na2.hubs.ly/H01JydX0 Ray Summit (Nov 3–5, SF):
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Anyscale
@anyscalecompute
16.01.2024 г.
Producing ~1B embeddings can take weeks and cost tens of thousands of dollars ($60K with OpenAI in the example below). We are thrilled to partner with @pinecone on the launch of their new serverless offering! Anyscale + Pinecone reduce the cost of computing these embeddings by
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Anyscale
@anyscalecompute
30.01.2024 г.
Ready to hear from #RAG experts at @langchain @vercel @pinecone @anyscalecompute and get hands-on with intensive guided trainings? The 2-day RAG Developer Bootcamp is for you! Learn more & register now 👉hubs.ly/Q02j9QmW0 #llm #ml #rag #ai #vectordatabase #ray #pinecone
57K
Anyscale
@anyscalecompute
18.04.2024 г.
🦙 We're excited to host @Meta Llama-3 8b and 70b on Anyscale Endpoints! ➕ Fine-tuning, JSON mode and function calling support coming soon as well! Pricing: - 8B: $0.15 / Million tokens - 70B: $1.00 / Million tokens
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Anyscale
@anyscalecompute
31.05.2023 г.
Our Eng team has been learning a lot about managing and scaling open source LLMs, using some great models from @huggingface . We packaged up what we've learned to help you build/deploy your own! Announcing Aviary: Open Source Multi-LLM Serving
Blog | Anyscale
От anyscale.com
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