B300 vs RTX 4000 SFF Ada: Specs, VRAM & Price
Short answer: choose the B300 when 288 GB of VRAM is the gating requirement. Choose the RTX 4000 SFF Ada when 20 GB is enough for the workload and the lower hourly rate points that way.
The B300 has 288 GB of VRAM; the RTX 4000 SFF Ada has 20 GB.
You can rent both by the hour, no purchase required. B300 from $9.89/GPU/hr; RTX 4000 SFF Ada from $0.198/GPU/hr. The RTX 4000 SFF Ada is 98% cheaper at the entry rate.
B300
Good for training and serving frontier-scale LLMs
RTX 4000 SFF Ada
Good for inference and light fine-tuning workloads
Last updated: 2026-10-10 22:53:56 UTCRefreshes hourly
Specs side by side
| Spec | B300 | RTX 4000 SFF Ada |
|---|---|---|
| VRAM | 288 GB | 20 GB |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Compute capability | 10.3 | 8.9 |
| Precisions in hardware | FP32, FP16, BF16, FP8, INT4 | FP32, FP16, BF16, FP8, INT4 |
| Regions | 1 | 1 |
On-demand price
| Rate | B300 | RTX 4000 SFF Ada |
|---|---|---|
| Lowest per GPU/hr | $9.89/GPU/hr | $0.198/GPU/hr (cheapest overall) |
Which is better for AI: B300 or RTX 4000 SFF Ada?
Choose the B300 when 288 GB of VRAM is the gating requirement. Choose the RTX 4000 SFF Ada when 20 GB is enough for the workload and the lower hourly rate points that way.
B300 vs RTX 4000 SFF Ada: common questions
Is the B300 or the RTX 4000 SFF Ada better for AI?
Short answer: choose the B300 when 288 GB of VRAM is the gating requirement. Choose the RTX 4000 SFF Ada when 20 GB is enough for the workload and the lower hourly rate points that way.
Is the B300 or the RTX 4000 SFF Ada cheaper to rent?
On Aquanode's live marketplace the B300 starts at $9.89/GPU/hr (median $9.89/GPU/hr) and the RTX 4000 SFF Ada starts at $0.198/GPU/hr (median $0.198/GPU/hr). The RTX 4000 SFF Ada is the cheaper of the two at the entry rate, by 98%.
What is the difference between the B300 and the RTX 4000 SFF Ada?
The B300 has 288 GB of VRAM against the RTX 4000 SFF Ada's 20 GB; the B300 is a Blackwell Ultra part and the RTX 4000 SFF Ada is Ada Lovelace (compute capability 10.3 vs 8.9); both run BF16, FP8, INT4 workloads in hardware. On price, the B300 lists from $9.89/GPU/hr and the RTX 4000 SFF Ada from $0.198/GPU/hr.
How widely available are the B300 and the RTX 4000 SFF Ada?
The B300 is listed in 1 region and the RTX 4000 SFF Ada in 1 region right now.
How much does 1,000 GPU-hours cost on the B300 vs the RTX 4000 SFF Ada?
At the lowest rates listed today, 1,000 GPU-hours costs $9,889 on the B300 and $198 on the RTX 4000 SFF Ada, a difference of $9,691 for the same runtime. Rates are per GPU per hour and update hourly.
How much VRAM does the B300 have compared to the RTX 4000 SFF Ada?
The B300 has 288 GB of VRAM; the RTX 4000 SFF Ada has 20 GB.
How this comparison is calculated
Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.
Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.
Memory bandwidth, tensor TFLOPS, NVLink/interconnect and max board power are the same verified-from-datasheet figures shown on each model's own B300 page and RTX 4000 SFF Ada page, which link the primary vendor source for that model. A dash here means Aquanode hasn't verified that figure from a primary source yet, never a guess.
Go further
Check what fits in each card's memory with the B300 VRAM calculator and the RTX 4000 SFF Ada VRAM calculator, or browse every model by generation in the GPU index.
More B300 comparisons
More RTX 4000 SFF Ada comparisons
Related reading: H100 pricing and specs, H100 vs H200, A100 vs H100, H100 and H200: SXM vs NVL vs PCIe, and The best GPUs for AI, ranked.
