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The Wrong Reason TAO Is Rallying [Seeking Alpha]

NVIDIA Corporation (NVDA)  More Company Research Source: Seeking Alpha
Last nvidia corporation earnings: 2/13 04:20 pm Check Earnings Report
US:NASDAQ Investor Relations: investor.nvidia.com/home/default.aspx
However, decentralized model training is unlikely to compete with frontier closed models: the physics of pretraining require co-located infrastructure that permissionless networks cannot match, and the open-weight market it can address is structurally self-diluting through distillation. Inference is different: modular, tolerant of hardware heterogeneity, and addressable by distributed supply, Bittensor's subnet Chutes (SN64) demonstrates a cost advantage over centralized aggregators and cloud standard tiers on open-model workloads. Just_Super/E+ via Getty Images On March 10, 2026, a team running on Bittensor's ( TAO-USD ) infrastructure completed training of Covenant-72B, a 72-billion-parameter model trained across more than 70 independent, globally distributed nodes. Ten days later, Nvidia CEO Jensen Huang referenced the achievement on This article was written by [Read more]
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Stockreport

The Wrong Reason TAO Is Rallying [Seeking Alpha]

NVIDIA Corporation  (NVDA) 
More Company Research Source: Seeking Alpha
Last nvidia corporation earnings: 2/13 04:20 pm Check Earnings Report
US:NASDAQ Investor Relations: investor.nvidia.com/home/default.aspx
However, decentralized model training is unlikely to compete with frontier closed models: the physics of pretraining require co-located infrastructure that permissionless networks cannot match, and the open-weight market it can address is structurally self-diluting through distillation. Inference is different: modular, tolerant of hardware heterogeneity, and addressable by distributed supply, Bittensor's subnet Chutes (SN64) demonstrates a cost advantage over centralized aggregators and cloud standard tiers on open-model workloads. Just_Super/E+ via Getty Images On March 10, 2026, a team running on Bittensor's ( TAO-USD ) infrastructure completed training of Covenant-72B, a 72-billion-parameter model trained across more than 70 independent, globally distributed nodes. Ten days later, Nvidia CEO Jensen Huang referenced the achievement on This article was written by [Read more]
IMPACT SNAPSHOT
EVENT TIME:
NVDA
Last Price
Price Change
Price Change %
Volume Shares
Max Up
Max Down
Volume Ratio
%
Don't Miss Out On The Next BIG Stock Move
Performance comparison Updated
EVENT DAY
Stock performance from the time of news release until the following 4pm ET market close
LAST PRICE AT
NEWS EVENT
SINCE EVENT
Multi-day stock performance from the time of the news release
LAST PRICE
VWAP
High:
MAX UP
High:
Low:
MAX DOWN
Low:
%
 POST NEWS RANGE
%
PRICE CHANGE
PRICE CHANGE PERCENTAGE
S&P 500 (SPX)
%
 VOLUME RATIO
%
VOLUME (SHARES)
TICKS
AVG SHARES PER TRADE
EVENT DAY
Event Day Chart will not be displayed beyond 90-day period of the event
PERFORMANCE SINCE EVENT
TIME AND VELOCITY ANALYSIS