Bitget App
Trade smarter
Open
HomepageSign up
Bitget>
News>
Markets>
Tensormesh secures $4.5 million to boost AI server efficiency for greater inference capacity

Tensormesh secures $4.5 million to boost AI server efficiency for greater inference capacity

Bitget-RWA2025/10/23 16:33
By: Bitget-RWA

As the demand for AI infrastructure skyrockets, organizations are under increasing pressure to maximize the inference output from their available GPUs. For those with specialized knowledge in certain methods, this environment presents an excellent opportunity to secure investment.

This is one of the main reasons behind the emergence of Tensormesh, which has just come out of stealth mode after raising $4.5 million in seed capital. The round was headed by Laude Ventures, with additional backing from angel investor and database innovator Michael Franklin.

Tensormesh intends to use these funds to develop a commercial offering based on the open-source LMCache tool, which was created and is maintained by co-founder Yihua Cheng. When implemented effectively, LMCache can cut inference expenses by up to a factor of ten—a capability that has made it popular in open-source projects and attracted collaborations with major players like Google and Nvidia. Now, Tensormesh aims to transform its academic achievements into a sustainable business.

At the core of this technology is the key-value cache (KV cache), a memory architecture that streamlines the processing of complex inputs by summarizing them into key values. In most conventional systems, the KV cache is discarded after each query, but Tensormesh CEO Juchen Jiang believes this practice leads to significant inefficiency.

“It’s comparable to a brilliant analyst who reviews all the information but forgets everything after answering each question,” explains Tensormesh co-founder Junchen Jiang.

Rather than deleting the cache, Tensormesh’s approach preserves it, making it available for reuse when the model encounters a similar task in a future query. Since GPU memory is a limited resource, this often involves distributing data across multiple storage solutions, but the payoff is a substantial boost in inference capacity without increasing server demands.

This improvement is especially impactful for chat-based applications, where models must repeatedly access an expanding conversation history. Agentic systems face a similar challenge, as their logs of actions and objectives continually grow.

While, in principle, AI firms could implement these changes themselves, the technical hurdles make it a formidable undertaking. Given the Tensormesh team’s expertise and the complexity involved, the company is confident there will be strong interest in a ready-made solution.

“Storing the KV cache in secondary storage and reusing it efficiently without degrading system performance is a tough technical challenge,” Jiang notes. “We’ve observed teams hiring dozens of engineers and spending several months to build such a system. Alternatively, they can leverage our product and achieve the same results much more efficiently.”

Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
PoolX: Earn new token airdrops
Lock your assets and earn 10%+ APR
Lock now!

You may also like

MOVA's Debut Confirms the Existence of a Regulatory-Compliant and Scalable DeFi Framework

- MovaChain (MOVA) token surged 370% on November 5, 2025, reflecting strong market confidence in its DeFi infrastructure. - The platform's modular blockchain achieves 110,547 TPS and sub-1.5-second finality, supporting institutional-grade financial applications. - A $100M funding round led by Aqua1 and GeoNova Capital fuels global node deployment and cross-border settlement development. - MOVA plans to integrate regional settlement networks and expand USD1-based trading, emphasizing compliant, sustainable

Bitget-RWA2025/11/05 16:12
BCH Value Drops by 0.13% as Broader Downward Trend Persists Over the Past Week and Month

- Bitcoin Cash (BCH) fell 0.13% in 24 hours, with 10.39% drops over 7 days and 30 days, contrasting a 10.36% annual gain. - Analysts warn of prolonged bearish pressure but note the decline reflects cyclical adjustments rather than structural issues. - Technical indicators show range-bound trading, with the 200-day moving average acting as key support amid flat RSI readings. - Absence of regulatory risks or major news suggests broader market sentiment, not fundamentals, drives BCH's volatility.

Bitget-RWA2025/11/05 16:12

Trending news

More
1
MOVA's Debut Confirms the Existence of a Regulatory-Compliant and Scalable DeFi Framework
2
BCH Value Drops by 0.13% as Broader Downward Trend Persists Over the Past Week and Month

Crypto prices

More
Bitcoin
Bitcoin
BTC
$103,512.65
+0.72%
Ethereum
Ethereum
ETH
$3,389.69
-2.58%
Tether USDt
Tether USDt
USDT
$1
+0.04%
XRP
XRP
XRP
$2.26
-0.25%
BNB
BNB
BNB
$958.98
+1.67%
Solana
Solana
SOL
$159.26
-0.87%
USDC
USDC
USDC
$0.9998
-0.01%
TRON
TRON
TRX
$0.2872
+1.62%
Dogecoin
Dogecoin
DOGE
$0.1664
+2.07%
Cardano
Cardano
ADA
$0.5451
+0.94%
How to buy BTC
Bitget lists BTC – Buy or sell BTC quickly on Bitget!
Trade now
Become a trader now?A welcome pack worth 6200 USDT for new users!
Sign up now
Trade smarter