Fireworks AI has announced platform updates for Spring 2024, featuring faster serverless models like Mixtral Instruct and Llama 70B with speeds up to 300 tokens/s. The updates also include reduced pricing and improved performance metrics.
Faster Mixtral speeds from our spring update are starting to register in benchmarks! Check out Mixtral on Fireworks for the fastest widely available speed, the best consistency and newly reduced pricing! https://t.co/u8DLVLglKc https://t.co/99Yhro8wAP
Faster Mixtral speeds from our spring update are starting to register in benchmarks! Check out Mixtral on Fireworks for the fastest, widely available speed, the best consistency and newly reduced pricing! https://t.co/u8DLVLglKc https://t.co/99Yhro8wAP
We’ve been cooking! Up to 300 tokens/s for Mixtral (and still fast with long prompts!) Reduced pricing, simplified billing, dedicated deployments and more. Enjoy! https://t.co/GM8WuG8Ll0
Happy March! Fireworks is announcing our Spring 2024 platform updates - designed for improved production usage at scale. https://t.co/Lr0MIwbzjc 🧵 💨Faster, more prod-ready serverless models - Mixtral Instruct and Llama 70B have become even faster, with speeds up to 300… https://t.co/enkeXccQpr
Happy March! Fireworks is announcing our Spring 2024 platform updates - designed for improved production usage at scale. https://t.co/Lr0MIwbzjc 🧵 💨 Faster, more prod-ready serverless models - Mixtral Instruct and Llama 70B have become even faster, with speeds up to 300… https://t.co/9vS524Miad
Fireworks AI has supercharged their Mixtral 8x7B offering impacting 3 critical metrics ‣ Optimized throughput and are now achieving up to 200 tokens/second, second only to Groq ‣ Reduced output token pricing to 1/3 of previous pricing. Now charging $0.5/M input & output… https://t.co/JnpzzTCIpJ
We are excited to share that the next major version of Babylon.js, version 7.0, will be arriving on March 28th. Follow #babylonJS7 each weekday until then, to see what's coming! #gamedev #indiedev #IndieGameDev #Metaverse #3D #webgl #webGPU #webdevelopment https://t.co/e2n91DnWSN