正在加载视频...

视频加载失败

Today, we're introducing GLM-5.2 Fast: our GLM-5.2 Model API designed for the most demanding real-time use cases. The Fast tier delivers 2-3x higher TPS than the standard GLM-5.2 MAPI.

115,626 次观看 • 3 个月前 •via X (Twitter)

25 条评论

Baseten 的头像
Baseten3 个月前

More in our blog: Try it now:

Mia 的头像
Mia3 个月前

This is insane 🔥

Jernej Strasner 的头像
Jernej Strasner3 个月前

Not as fast as @sferenceai though 🙃

JesseEvans 的头像
JesseEvans3 个月前

Is it the vision version?

Quantinine 的头像
Quantinine3 个月前

this is awesome. Will you be supporting kimi k3 release this weekend?

Baseten 的头像
Baseten3 个月前

Absolutely

Eitan Turok 的头像
Eitan Turok3 个月前

what is in/out toks/sec?

sofia 的头像
sofia3 个月前

so does "fast" mean faster tokens or faster latency

Denis Loginoff ⚡️ 的头像
Denis Loginoff ⚡️3 个月前

Does it have Zero Data Retention btw 👀

Launch Archive 的头像
Launch Archive3 个月前

GLM-5.2 Fast API offers 2-3x higher transactions per second for real-time applications, enhancing performance for users. Congrats @baseten on #1 on Launch Archive today.

Jaume Martin 的头像
Jaume Martin3 个月前

It's good, but... I hit this wall constantly... :(

KimSunIl 的头像
KimSunIl3 个月前

총 3 x DGX Spark 로 실행하는거니? glm5.2 는 어떤 모델인가요

Sebastian Buzdugan 的头像
Sebastian Buzdugan3 个月前

2-3x tps helps but p99 under bursty load decides real-time fit

Stephane 的头像
Stephane3 个月前

Nice. Can you do the same with KimiK3?

Madison Kanna 的头像
Madison Kanna3 个月前

🥳🥳🥳

vinayak 🦕 的头像
vinayak 🦕3 个月前

Need

felix 的头像
felix3 个月前

That's impressive, if it can maintain comparable performance //'GLM 5.2 Fast serves the same weights as standard GLM-5.2'

AI Mastery Guide 的头像
AI Mastery Guide3 个月前

2-3x higher TPS is a big deal for anything running in real time.

CV.YH 的头像
CV.YH3 个月前

amazing work

武止戈👽🦀相比于《1984》, 我宁可《2012》 的头像
武止戈👽🦀相比于《1984》, 我宁可《2012》3 个月前

我需要“slow” api,只要不慢10倍就行,我可以用并行subagents来确保进度不被显著拖慢,只要成本能降下来就行

Jurly 的头像
Jurly3 个月前

2-3x TPS improvement is significant, what tradeoffs did you make in accuracy or context retention?

pccallout 的头像
pccallout3 个月前

Price ?

Tushar Koshti 的头像
Tushar Koshti3 个月前

#glm fast is really helpful interns of speed

lynn tam 的头像
lynn tam3 个月前

price?

x86 的头像
x863 个月前

Do that with k3 soon and you might just win

相关视频

Coding Benchmark: Cursor Composer 2.5 vs Z.ai GLM 5.2 Task: DLA (Diffusion-Limited Aggregation) Judge: GPT 5.5 Pro 🎉Winner: Composer 2.5🎉 Sebep: Prompt’un “crux” dediği nokta performanstı: en az ~50.000 particle’da responsive kalma, optimize algoritma, live stats ve performans barı. Composer çözümü bu gereksinime daha doğrudan oynuyor: sabit 720x720 lattice grid, Int32Array, Int16Array, offscreen ImageData, MAX_WALKERS = 192, adaptive performance loop ve gerçek bir performance bar var. Prompt açıkça 50k real-time performansı ve box-counting doğrulamasını kritik görüyor. Final Puantaj ve Özet: - Cursor Composer 2.5 - 83/100 - GLM 5.2 - 80/100 GLM 5.2 zayıflıkları - Performance bar yok. Prompt bunu açıkça istiyordu. - Seeded determinism yok. Math.random() doğrudan kullanılıyor. - boundingR güncellemesi gecikmeli. Spawn bölgesi hızlı büyümede stale kalabilir. - Map tabanlı grid 50k+ için typed-array grid kadar stabil değil. - Start/Pause tek toggle. Kullanılır ama Composer kadar net değil. Cursor Composer 2.5 zayıflıkları - Sabit 720×720 dünya. Büyük aggregate ve uzun koşularda sınır etkisi üretir. - 4-neighbor lattice artifact riski. Daha kare/piksel tabanlı görünür. - Glow çok temel. Gerçek bloom değil, shadowBlur benzeri. - Seeded determinism yok. O da Math.random() kullanıyor. - Fraktal estetiği GLM kadar organik olmayabilir. 1)Prompt uyumu - Composer 2.5 : 8.6/10 - GLM 5.2 : 8.1/10 2)DLA algoritma doğruluğu - Composer 2.5 : 8.2 / 10 - GLM 5.2 : 8.0 / 10 3) Performans mimarisi - Composer 2.5 : 9.0/10 - GLM 5.2 : 8.0/10 Görsel kalite / seyir zevki - Composer 2.5 : 7.3/10 - GLM 5.2 : 8.4/10 UI / kontrol paneli - Composer 2.5 : 8.7/10 - GLM 5.2 : 8.2/10 Live stats / correctness check - Composer 2.5 : 8.8/10 - GLM 5.2 : 8.4/10 Ölçeklenebilirlik - Composer 2.5 : 7.5/10 - GLM 5.2 : 8.3/10 Kod mimarisi / okunabilirlik - Composer 2.5 : 8.4 / 10 - GLM 5.2 : 8.0/10 Risk / bug potansiyeli - Composer 2.5 : 7.8/10 - GLM 5.2 : 7.2/10

Alican Kiraz

17,416 次观看 • 4 个月前