Together AI Unveils Cost-Effective On-Demand Dedicated Endpoints
James
Ding
Mar
14,
2025
04:21
Together
AI
introduces
Dedicated
Endpoints
with
up
to
43%
lower
pricing,
offering
enhanced
GPU
inference
capabilities
for
scaling
AI
applications,
providing
high-performance
and
cost-efficiency.
Together
AI
has
announced
the
launch
of
its
new
on-demand
Dedicated
Endpoints,
designed
to
offer
superior
price-performance
for
GPU
inference
tasks.
This
development
is
aimed
at
addressing
the
challenges
faced
by
startups
in
balancing
flexibility
and
affordability
in
scaling
AI
applications,
according
to
Together
AI.
Enhanced
Performance
and
Control
The
Dedicated
Endpoints
provide
single-tenancy
to
ensure
that
user
traffic
is
unaffected
by
other
users,
delivering
the
same
high
performance
as
serverless
solutions.
The
offering
includes
substantial
cost
savings,
full
control
over
deployment
hardware
and
configuration,
support
for
custom
fine-tuned
models,
and
no
minimum
commitments.
Users
can
deploy
models
such
as
DeepSeek-R1
and
Llama
3.3
70B
without
incurring
upload
or
storage
costs.
Unmatched
Cost
Savings
With
a
price
reduction
of
up
to
43%,
Together
AI’s
Dedicated
Endpoints
are
positioned
as
the
most
cost-effective
dedicated
GPU
inference
solution
available.
The
pricing
structure
offers
significant
savings
compared
to
other
providers,
with
reductions
of
up
to
50%
in
some
cases.
This
initiative
is
part
of
Together
AI’s
strategy
to
provide
competitive
pricing
alongside
a
broad
selection
of
GPU
architectures.
Scalability
and
Flexibility
Dedicated
Endpoints
allow
businesses
to
handle
usage
spikes
seamlessly
through
vertical
and
horizontal
scaling
options.
Users
can
scale
vertically
by
increasing
GPU
count
or
horizontally
by
adjusting
replica
counts
to
manage
peak
workloads.
This
ensures
consistent
performance
and
optimized
costs,
making
it
suitable
for
mission-critical
AI
applications
that
require
reliable
QPS
and
predictable
availability.
Deployment
Options
Together
AI
now
offers
a
comprehensive
set
of
deployment
options,
including
serverless,
on-demand
Dedicated
Endpoints,
and
monthly
reserved
deployments.
Each
option
provides
different
benefits,
and
users
can
choose
based
on
their
specific
needs
for
flexibility,
performance,
and
cost-efficiency.
The
Dedicated
Endpoints
are
particularly
advantageous
for
customers
with
strict
privacy
requirements
and
those
in
need
of
custom
model
deployment.
In
conclusion,
Together
AI’s
Dedicated
Endpoints
offer
a
versatile
and
cost-effective
solution
for
AI
companies
looking
to
scale
their
applications
while
maintaining
high
performance
and
control
over
their
deployments.
Image
source:
Shutterstock
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