Major infrastructure update dropping: the partnership continues for optimizing SGLang DeepSeek R1 on NVIDIA's GB200 NVL72 platform.



This collaboration focuses on pushing inference performance boundaries with cutting-edge hardware acceleration. The GB200 NVL72 architecture brings serious compute power to the table, making it a natural fit for advanced reasoning models.

What's interesting here? SGLang's framework combined with DeepSeek R1's capabilities could unlock new efficiency levels for large-scale AI operations. The NVIDIA platform provides the raw horsepower needed to handle complex inference workloads.

For anyone tracking AI infrastructure development in crypto and Web3 spaces, this kind of optimization work matters. Better inference engines mean faster, cheaper operations for everything from on-chain analytics to automated trading systems.

The tech stack evolution continues.
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
  • Reward
  • 8
  • Repost
  • Share
Comment
0/400
FOMOmonstervip
· 17h ago
gb200 nvl72 This hardware stacking is really crazy. Deepseek R1 running on this probably took off. sglang optimization is indeed interesting. On-chain should be thrilled. Another wave of infrastructure arms race. Whoever adopts it first wins. Inference speed needs to improve so that costs can come down. This is crucial for AI trading systems. Nvidia has once again defined the rules of the game.
View OriginalReply0
BearMarketMonkvip
· 12-11 01:50
The GB200 chip is awesome, really impressive, but the price is just way too outrageous.
View OriginalReply0
BlockchainRetirementHomevip
· 12-11 01:49
The GB200 hardware is indeed powerful, but running it in practice might be a different story... DeepSeek's recent moves are quite impressive; with inference costs lowered, trading bots can run more cheaply. NVLink is just hardware; it all depends on whether SGLang can really master it... Sometimes bottlenecks are actually at the software level. This kind of infrastructure optimization might not make much noise at first glance, but it significantly reduces the marginal costs for on-chain data processing and AI trading.
View OriginalReply0
Layer2Observervip
· 12-11 01:49
If the GB200 chip can really be developed, can the on-chain inference cost be halved? Currently, a query costs a few dollars each time, which is a bit outrageous.
View OriginalReply0
GasGasGasBrovip
· 12-11 01:46
gb200 is truly awesome. This wave of deepseek teaming up with Nvidia is probably going to take off. --- The reasoning performance is fully maximized, and on-chain transaction costs should be greatly reduced. --- NGL, this is what infrastructure should look like, not just blowing bubbles all day. --- Real performance improvements are completely different from those vapor projects. --- Wait, does this mean on-chain AI is really coming soon? --- With hardware stacked like this, can costs be reduced? That's the real question. --- Deepseek is on a good rhythm, consistently delivering real results.
View OriginalReply0
GlueGuyvip
· 12-11 01:35
gb200 is causing trouble again. This time, what kind of tricks can DeepSeek and NVIDIA come up with together?
View OriginalReply0
BagHolderTillRetirevip
· 12-11 01:31
Is gb200 really powerful? It feels like it's more about hype.
View OriginalReply0
ProtocolRebelvip
· 12-11 01:27
Will GB200 really be the next breakthrough in computing power, or is it just another marketing hype?
View OriginalReply0
  • Pin
Trade Crypto Anywhere Anytime
qrCode
Scan to download Gate App
Community
  • 简体中文
  • English
  • Tiếng Việt
  • 繁體中文
  • Español
  • Русский
  • Français (Afrique)
  • Português (Portugal)
  • Bahasa Indonesia
  • 日本語
  • بالعربية
  • Українська
  • Português (Brasil)