Beyond CUDA
Beyond CUDA
✓

How dstack is Cutting GPU Cloud Costs 3–7x with Smarter Orchestration

· 노트보기
00:44:41
Podcasts
RSS
Link

이 에피소드에 관해

How dstack is Cutting GPU Cloud Costs 3–7x with Smarter Orchestration

How we cuts cloud GPU costs 3-7x! Andrey Chepstov - CEO @ dstack (https://dstack.ai) chats with Jeff Tatarchuk on open source AI & redefining infrastructure.

#AI #OpenSource #GPUs

00:29 - Intro and journey at JetBrains.  
09:02 - How was dstack born?  
13:14 - What are the challenges with Kubernetes?  
18:36 - What problems does dstack solve?  
26:21 - dstack roadmap and features.  
30:25 - Open source journey and community building.  
42:03 - What does Beyond CUDA mean?  


🌐 Connect with us:
https://www.linkedin.com/in/jtatarchuk/
https://www.linkedin.com/in/andrey-cheptsov

  • (00:00) - C2004 Andrey Cheptsov - Audio
  • (00:24) - Guest Introduction: Andre Cheep
  • (01:12) - Andre's Early Interest in Tech
  • (02:52) - Journey at JetBrains
  • (06:31) - Lessons from JetBrains
  • (09:14) - The Birth of DST Stack
  • (13:32) - Challenges with Kubernetes
  • (18:49) - DST Stack's Solutions and Vision
  • (24:12) - Challenges with Kubernetes and Market Dynamics
  • (24:53) - The Importance of Kubernetes in Cloud Services
  • (25:35) - Competing with Kubernetes: A New Approach
  • (26:54) - DST Stack Roadmap and Exciting Features
  • (27:20) - GPU Health Checks: A Game Changer
  • (30:41) - Open Source Journey and Community Building
  • (34:36) - Technical Challenges and Ecosystem Dynamics
  • (36:00) - Cost Efficiency and Surprising Use Cases
  • (39:50) - Future Plans and Community Involvement
  • (42:48) - Final Thoughts and Beyond CUDA
비즈니스
기술
영어
미국
API를 사용하여JSON에서 이 에피소드를 가져옵니다.

이 에피소드 내

이 태그 수정하기

노트보기 🔗

00:00:00C2004 Andrey Cheptsov - Audio
00:00:24Guest Introduction: Andre Cheep
00:01:12Andre's Early Interest in Tech
00:02:52Journey at JetBrains
00:06:31Lessons from JetBrains
00:09:14The Birth of DST Stack
00:13:32Challenges with Kubernetes
00:18:49DST Stack's Solutions and Vision
00:24:12Challenges with Kubernetes and Market Dynamics
00:24:53The Importance of Kubernetes in Cloud Services
00:25:35Competing with Kubernetes: A New Approach
00:26:54DST Stack Roadmap and Exciting Features
00:27:20GPU Health Checks: A Game Changer
00:30:41Open Source Journey and Community Building
00:34:36Technical Challenges and Ecosystem Dynamics
00:36:00Cost Efficiency and Surprising Use Cases
00:39:50Future Plans and Community Involvement
00:42:48Final Thoughts and Beyond CUDA

전사 🔗

Are you the producer of this podcast? Add a podcast transcript
Need Audio-to-Text? Transcribe with Listen411 in Just 60 Seconds

과거 에피소드 검색

Beyond CUDA의 과거 에피소드를 검색하세요.
이 검색 창을 웹 사이트에 삽입

이 팟캐스트의 다른 에피소드

No Kernels Needed for Speed with Jay Dawani @ Lumerian Labs

No Kernels Needed for Speed with Jay Dawani @ Lumerian Labs

Jay Dawani from Lemurian Labs talks about GPU performance and how they're uniting the stack for accessible AI development.  #AIdevelopment #BeyondCUDA #LemurianLabs 00:49 - Why Lemurian? 02:56 - Challenges in AI and Robotics. 06:13 - Reinventing Software for AI. 08:33 - Future of AI Hardware. 0:1…
00:38:18
공유하기
저장하기
AI's Next Chapter: AMD's Big Opportunity with Gregory Diamos @ ScalarLM

AI's Next Chapter: AMD's Big Opportunity with Gregory Diamos @ ScalarLM

History of CUDA with Greg Diamos, an early pioneer talk about CUDA's challenges, successes, and its impact on AI. Is the CUDA moat shrinking? 00:00 - Origins of CUDA 02:15 - Greg's Early Interest 03:30 - Joining Nvidia 04:45 - Build a Faster Computer 06:30 - CUDA Dominated AI Research 08:50 - What…
00:32:57
공유하기
저장하기
Why the World Needs AMD for Sovereign AI with Keith Strier @ AMD

Why the World Needs AMD for Sovereign AI with Keith Strier @ AMD

Keith Strier explains the origins of sovereign AI, and why he moved from NVIDIA to AMD. He unpacks the GPU divide, silicon diversity, and why nations are now embracing open source and the ROCm ecosystem. 02:10 – Quitting 17-yr consulting for NVIDIA04:55 – NVIDIA culture shock: flat & fast07:32 …
00:42:49
공유하기
저장하기
Automating GPU Kernels: Mako’s CEO on Crossing the CUDA Moat

Automating GPU Kernels: Mako’s CEO on Crossing the CUDA Moat

Waleed Atallah from Mako joins us to discuss automating GPU kernel generation with AI. 03:07 – Why GPU kernels bottleneck progress04:46 – Three current ways to get kernels06:02 – LLMs: can they write fast kernels?07:48 – Mako’s “kernel agent” in action09:12 – Early adopters & best-fit users12:0…
00:26:29
공유하기
저장하기
Spectral Compute CEO: Running CUDA on AMD with SCALE

Spectral Compute CEO: Running CUDA on AMD with SCALE

Learn how Spectral’s Scale toolkit breaks CUDA’s vendor lock-in by letting you run the same code on AMD GPUs with zero rewrites. This episode shows how to future-proof your stack without starting from scratch. #GPUCloud #BeyondCUDA #TensorWave 01:05 - How did you get into GPU development? 03:39 -…
00:24:34
공유하기
저장하기
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 TensorWave에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
PROMOTED
We’re selling some of our podcast-related domain names, including breaker.fm, Podcast.mov, and Listen.Host. Place your bid on eBay.
We’re selling some of our podcast-related domain names, including breaker.fm, Podcast.mov, and Listen.Host. Place your bid on eBay.
Bid on eBay

추천
API를 사용하여 이 에피소드 가져오기