Ornith-1.0-35B · 10 GPUs measured first-party · llama.cpp · Updated October 2026
What GPU Do You Need for Ornith-1.0-35B?
Ornith-1.0-35B on 10 GPUs, measured first-party: NVIDIA RTX PRO 6000 Blackwell Workstation Edition leads at 237.7 tok/s, L4 trails at 70.3 tok/s, and it peaked at 23GB of VRAM.
Benchmarked weights: unsloth/Ornith-1.0-35B-GGUF
NVIDIA RTX PRO 6000 Blackwell Workstation Edition
237.7 tok/s on Ornith-1.0-35B, the ceiling. Measured on our bench. 96GB of VRAM, $8,565 at launch.
- 237.7 tok/s on Ornith-1.0-35B
- 96GB, clears the Ornith-1.0-35B floor
- Rentable by the hour rather than bought
- 600W board rating
- Datacenter or workstation hardware, not a retail purchase
What GPU Do You Need for Ornith-1.0-35B?, tok/s by GPU
Efficiency: tok/s per 100W drawn
Power is the average pulled during the run, sampled at 1Hz. The fastest card is often not the one here, and for anything left running this is the number that shows up on the bill.
Value: tok/s per $1,000 of MSRP
Launch price, not street price, so it ages. A speed leaderboard always crowns the most expensive card; this is the counterweight.
Ornith-1.0-35B. Measured tokens per second by GPU
| GPU | tok/s | Prompt t/s | tok/W | Avg power |
|---|---|---|---|---|
| NVIDIA RTX PRO 6000 Blackwell Workstation Edition | 237.7 | 8246.5 | 1.54 | 154.6 W |
| NVIDIA B300 | 232.4 | 4669.8 | 0.8 | 291.0 W |
| NVIDIA H100 80GB HBM3 | 221.7 | 6476.5 | 1.36 | 162.8 W |
| NVIDIA B200 | 221.1 | 6850.5 | 0.72 | 305.3 W |
| NVIDIA H200 | 208.5 | 6055.4 | 1.3 | 160.1 W |
| NVIDIA L40S | 157.4 | 6947.8 | 1.17 | 134.8 W |
| NVIDIA A100 80GB SXM4 | 138.8 | 3326.5 | 1.03 | 135.1 W |
| NVIDIA A100 40GB SXM4 | 131.8 | 3311 | 1.27 | 104.0 W |
| NVIDIA A10G | 104.9 | 2221.9 | 1.08 | 97.4 W |
| NVIDIA L4 | 70.31 | 2048 | 1.35 | 52.2 W |
What the numbers show. Across 10 GPUs measured on our own bench, RTX PRO 6000 Blackwell Workstation Edition is fastest at 238 tok/s. The slowest, L4, manages 70.3, so the spread is 3.4x from top to bottom. Per dollar of launch price, A10G gives the most (37.5 tok/s per $1,000).
How it compares. H100 80GB HBM3: Ornith-1.0-35B 221.7 tok/s, Ornith 1.5 9B 221.4 (10B), gpt-oss-120b 220.4 (117B), Qwen-AgentWorld-35B-A3B 219.1, Gemma 4 26B A4B 218.4. Ornith-1.0-35B beats all 4 here.
Cost on a rented GPU. 1M generated tokens of Ornith-1.0-35B: $0.99 on a A100 40GB SXM4 ($0.47/hr, 2.1 hours), $1.26 on a RTX PRO 6000 Blackwell Workstation Edition ($1.08/hr, 70 min, 1.3x the cost).
Ornith-1.0-35B: cost per 1M generated tokens on rented GPUs
| GPU | Cheapest rate | Speed (tok/s) | Cost per 1M generated tokens |
|---|---|---|---|
| NVIDIA A100 40GB SXM4 | $0.47/hr | 131.8 | $0.99 |
| NVIDIA RTX PRO 6000 Blackwell Workstation Edition | $1.08/hr | 237.7 | $1.26 |
| NVIDIA L40S | $0.79/hr | 157.4 | $1.39 |
| NVIDIA L4 | $0.44/hr | 70.31 | $1.74 |
| NVIDIA A100 80GB SXM4 | $0.95/hr | 138.8 | $1.90 |
| NVIDIA H100 80GB HBM3 | $2.14/hr | 221.7 | $2.68 |
| NVIDIA H200 | $3.59/hr | 208.5 | $4.78 |
| NVIDIA B200 | $5.98/hr | 221.1 | $7.51 |
| NVIDIA B300 | $6.94/hr | 232.4 | $8.30 |
Cheapest hourly rate we track on RunPod and Vast.ai, divided by the measured speed. Startup time and storage are extra.
Speed tiers for Ornith-1.0-35B. 30+ tok/s: 10 (RTX PRO 6000 Blackwell Workstation Edition, B300, H100 80GB HBM3). 30 tok/s is roughly where replies outpace reading.
Reading your prompt. Before Ornith-1.0-35B writes anything it reads the input: 8246.5 tok/s on the RTX PRO 6000 Blackwell Workstation Edition (0.5s for a 4,000-token prompt), 2048.0 on the L4 (2.0s). Long documents and big code files feel this number more than the generation speed.
VRAM for Ornith-1.0-35B. Measured peak 21.4GB, so 24GB is the smallest common card size; smallest card it ran on: A10G (24GB).
Power on Ornith-1.0-35B. Most efficient: RTX PRO 6000 Blackwell Workstation Edition, 155W, 0.18 kWh per 1M generated tokens. Hungriest: B200, 305W, 0.38 kWh. At $0.15/kWh: $0.027 per 1M generated tokens.
Our verdict
Fastest on Ornith-1.0-35B: NVIDIA RTX PRO 6000 Blackwell Workstation Edition, 237.7 tok/s. Cheapest to rent per job: NVIDIA A100 40GB SXM4, $0.99 per 1M generated tokens.
FAQ
- What GPU do I need to run Ornith-1.0-35B?
- About 22GB. Smallest card that ran it: NVIDIA A10G (24GB).
- How much does it cost to run Ornith-1.0-35B in the cloud?
- $0.99 per 1M generated tokens on a NVIDIA A100 40GB SXM4 at $0.47/hr, cheapest of 9 rentable cards we measured.
- Can I run Ornith-1.0-35B on a 12GB, 16GB or 24GB card?
- It used 21.4GB at the precision we tested. 12GB: no; 16GB: no; 24GB: yes.
- Is the H100 80GB HBM3 or the A100 80GB SXM4 faster for Ornith-1.0-35B?
- The H100 80GB HBM3: 221.7 vs 138.8 tok/s, 60% faster on our bench.
How we test
llama.cpp llama-bench at Q4_K_M, 512-token prompt and 128 generated tokens, three runs after a warmup, full GPU offload, with power and VRAM sampled throughout. Token generation is memory-bandwidth-bound, so the ranking tracks bandwidth closely, which makes it a fair guide to cards we haven't run yet.