NVIDIA B200 (Blackwell) Server Rental
The B200 is Blackwell-generation hardware: 192 GB of HBM3e and native FP4 support that delivers roughly four times the inference throughput of an H100 on suitable workloads. It is the right call for frontier-scale training and for inference at volumes where cost per response, not raw speed, decides the economics.
What we deliver
192 GB HBM3e
The largest memory pool available, which keeps very large models resident on a single card and avoids the coordination cost of sharding.
Native FP4 inference
Four-bit precision cuts the cost of every generated token. For high-volume serving this changes the unit economics rather than shaving a few percent.
Frontier-scale training
When the model no longer fits the previous generation and splitting it across nodes is eating your throughput, this is the hardware that makes the run practical.
Spot pricing available
Interruptible capacity at a lower rate suits checkpoint-friendly training, where a restart costs minutes rather than days.
How much does nvidia b200 server rental cost
Indicative prices. We send a precise quote within 24 hours of your brief.
Why Applications.kz
19 years, 300+ projects
We started in 2007 and have shipped over 300 products since — from MVPs to banking-grade platforms. The edge cases your project will hit, we have already solved.
Fixed price, fixed scope
A clear scope and a firm budget before we write a line of code. No hourly drift, no surprise change orders, no padded estimates.
Up to 10-year warranty
We back our code with a warranty of up to 10 years and full source-code handover. No lock-in, no abandonment after launch.
Technologies
Frequently asked questions
Do we need Blackwell?
Most teams do not. It pays off at frontier scale or at high inference volume. Below that, H100 or H200 give better value, and we will say so.
What is the difference between spot and dedicated?
Spot capacity is cheaper but can be reclaimed; dedicated is guaranteed. Spot suits training that checkpoints regularly, dedicated suits production serving.
Is FP4 accurate enough?
For inference on most production models, yes. For training it is not the default. We help evaluate on your own model rather than relying on benchmarks.
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Free consultation and a fixed quote within 24 hours. +7 (707) 928-13-15